This document provides an overview of biostatistics. It defines biostatistics as the application of statistical principles and methods to biological and health data. Biostatistics is used in various fields including public health, epidemiology, medicine, anatomy, physiology, pharmacology, and preventive medicine. It involves collecting, presenting, analyzing and interpreting numerical data to evaluate public health programs, compare medical treatments, define normal health ranges, and study associations between biological factors. The document also discusses limitations of statistics and the various steps involved in biostatistical analysis including collecting and presenting data, descriptive and inferential analysis, and interpretation.
I. INTRODUCTION
DEFINITION
HISTORY
NEED TO STUDY BIOSTATISTICS
SAMPLING
METHODS OF PRESENTATION OF DATA
METHODS OF SUMMARIZING THE DATA
: Measures of Central Tendency
: Mean
: Median
: Mode
: Measures of Dispersion
: range
: Mean deviation
: Standard deviation
: Coefficient of variation
CORRELATION & REGRESSION
NORMAL DISTRIBUTION AND NORMAL CURVE.
METHODS OF ANALYZING THE DATA
SUMMARY & CONCLUSION
Utilization of biostatistics in medicine and dentistryajazahmad51
This document discusses the utilization of biostatistics in dentistry. It begins by defining biostatistics as the application of statistical processes and methods to the collection, analysis, and interpretation of biological and medical data. It then discusses the history and branches of biostatistics. The document outlines many applications of biostatistics in fields like public health dentistry, various dental specialties, medicine, pharmacology, epidemiology, biotechnology, genetics, and nutrition. It also discusses how biostatistics is used in evidence-based dentistry, research study design, and evaluating health programs. Overall, the document provides an overview of how biostatistics is widely utilized across many areas of health research and practice.
Descriptive epidemiological studies are used to:
1. Document the distribution and determinants of health-related events in populations without attempting to infer causality.
2. Describe patterns of disease by person, place, and time to identify potential risk factors and generate hypotheses.
3. Provide baseline data on diseases, health conditions, and their risk factors that can be used to plan interventions and evaluate control programs.
This document provides an introduction to biostatistics. It defines biostatistics as the branch of statistics concerned with biological data and events. It discusses how biostatistics is applied in various fields including public health, medicine, dentistry, and more. Specifically, it outlines how biostatistics is used as a science and with figures to evaluate health programs, compare treatment efficacy, identify disease patterns, and more. The document also covers key biostatistics concepts like data collection, classification of data as qualitative or quantitative, and primary versus secondary sources.
Applications of statistics in medical Research and HealthrMuhammadNafees42
This will help you to understand the applications of basic statistics.The application of stat in medical health and research.
#nafeesupdates
#nafeesmedicos
Introduction
Uses and aims of epidemiology
Qualification
Jobs included
List of skills
Role of epidemiologists
Specializations
Courses offered
Public health significance
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in populations and the application of this study to control health problems. It has three main components: disease frequency, disease distribution, and disease determinants. Epidemiologists ask questions and make comparisons between groups to identify risk factors, understand disease processes, assist in public health practice and clinical decision making. The natural history of a disease describes its progression over time from exposure and subclinical stages to clinical symptoms and outcomes with or without treatment.
Epidemiology is a basic discipline essential to both clinical and community medicines. It also helps to develop the way of thinking about health and disease.
O Biostatistics is the application of statistics to biological and medical data. It plays an integral role in modern medicine by analyzing data to determine treatment efficacy and develop clinical trials. A landmark study in biostatistics was the Framingham Heart Study, which through longitudinal data collection and analysis identified major risk factors for cardiovascular disease and influenced our current understanding of heart disease as a leading cause of death. Biostatistics obtains, analyzes, and interprets quantitative medical data to further human health.
This document provides an overview of various research designs used in public health, including observational studies like cohort and case-control studies, as well as experimental designs like randomized controlled trials. It discusses key aspects of research design such as minimizing bias, ensuring adequate sample size and power, collecting and analyzing data appropriately, accurately reporting and interpreting results, and addressing limitations. Overall, it emphasizes the importance of rigorous research methodology in generating reliable evidence to inform public health practice and policy.
This document discusses medical research study designs and biostatistics. It defines biostatistics as the application of statistics to biological sciences, medicine, and public health. Biostatistics is key to conducting clinical trials and is important for evidence-based medicine. Various types of studies are described including observational studies like descriptive, ecological, cross-sectional, case-control and cohort studies. Experimental studies include randomized controlled trials. Randomized controlled trials are described as one of the most powerful study designs where participants are randomly allocated to treatment or control groups to reduce bias.
Talk about data visualization as tool to add new value to health data, presented in the Panel: Old School Data Set, Rebooted, Repurposed and Creating Killer New Value Health Datapalooza, June 2, 2015
This document provides an introduction to epidemiology, including its historical development, key concepts, uses, and importance. It explores epidemiology as the study of disease distribution and determinants in populations for the purpose of disease control. The epidemiological triad of agent-host-environment is discussed as a model for explaining infectious disease transmission. The goals of epidemiology are identified as identifying disease causes and developing prevention and treatment strategies. Its importance in healthcare includes disease surveillance, screening programs, and informing public health policy and planning.
- Pharmacoepidemiology is the study of the use and effects of medications in large populations. It applies epidemiological methods to study drug effects and usage patterns in human populations.
- Several drug safety events throughout history led to the evolution and increased importance of pharmacoepidemiology, including the Elixir Sulfanilamide tragedy in 1937 and the Thalidomide crisis in the 1960s.
- Pharmacoepidemiology utilizes various study designs like case reports, case series, cross-sectional studies, cohort studies, and case-control studies to generate and test hypotheses about medication risks and benefits at a population level.
1. Cross-sectional studies measure exposures and outcomes in a population at a single point in time and are commonly used to estimate disease prevalence and describe population characteristics.
2. They can provide clues about associations but cannot determine causation due to their observational nature.
3. Planning is important for cross-sectional studies including clear objectives, sampling, data collection methods, and analysis of results with descriptive statistics.
Case reports and studies may be defined as the non-experimental description of an individual or a few of cases in terms of new or unusual presentation of the diseases, an unexpected disease course or pathophysiology, and new effects (either beneficial or detrimental) of existing medications or procedures. Although they suffer from the non-experimental nature and other potential bias and errors, case reports and studies have played and will continue to play an important part in the advancement of medicine. They often serve as "primers" leading to discoveries of new diseases/disease pathophysiology as well as development of new preventive and therapeutic measures. Case reports and case studies are also employed as a platform for the training of medical students and/or resident doctors in scientific writing and critical thinking. Although the significance of case reports and studies in medicine has being recognized since the early stage of development of clinical medicine, their value needs to be appreciated in the context of modern clinical research design and the hierarchy of strength of evidence for guiding patient care. This paper discusses case reports and studies within the big picture of clinical research, research design, and evidence-based practice.
Biostat 8th semester B.Pharm-Introduction Ravinandan A P.pdfRavinandan A P
This document discusses biostatistics and its applications. It begins by providing examples of class averages, disease rates, medication adherence rates, and comparing drug efficacies that demonstrate the need for biostatistics. It then defines biostatistics as the application of statistical methods to biological and medical data. The document outlines the history of biostatistics and discusses its uses in areas like public health, clinical trials, and medicine. It also covers descriptive and inferential statistics, limitations of statistics, and emphasizes that biostatistics provides an important tool for evidence-based decision making in fields involving human health and biology.
Pharmacoepidemiology is the study of the use and effects of drugs in large populations. It combines the fields of clinical pharmacology and epidemiology. Recent data shows that adverse drug reactions cause 100,000 deaths and 1.5 million hospitalizations in the US each year, yet 20-70% may be preventable. Pharmacoepidemiology aims to detect adverse drug reactions early through observational studies in order to educate healthcare providers and the public about safer medication use. Key study types include case series, case-control studies, cohort studies, cross-sectional studies, and experimental studies. Drug utilization studies also fall under pharmacoepidemiology and evaluate factors related to prescribing, dispensing, administering, and taking
Public health nutrition- national disordersRenu K Abraham
This document provides an overview of epidemiology and nutritional disorders. It defines epidemiology as the study of the distribution and determinants of health-related states or events in populations. The document discusses the history of epidemiology and describes observational and analytical epidemiological study designs like case reports, case series, ecological studies, case-control studies, cohort studies, and experimental epidemiology. It also covers the principles, aims, methods and uses of epidemiology in investigating disease occurrence, risk factors and planning public health programs.
Epidemiology is the study of the distribution and determinants of health-related states and events in specified populations, and the application of this study to control health problems. It involves describing disease occurrence, identifying risk factors and causes, and conducting analytical studies to test hypotheses. There are two main types of epidemiological studies - descriptive epidemiology which examines disease occurrence by time, place and person, and analytical epidemiology which tests hypotheses about risk factors. Observational studies include cohort studies, case-control studies and cross-sectional studies, while experimental studies involve determining exposure in a controlled manner. The ultimate goal of epidemiology is to improve disease prevention and control to enhance quality and duration of life.
This document provides an introduction to epidemiology. It begins with definitions of epidemiology as the study of patterns, causes, and effects of health and disease conditions in populations. It then discusses the history of epidemiology from Hippocrates' observations to modern uses. The types of epidemiological studies covered are descriptive studies like cross-sectional and analytical studies like cohort and case-control studies. The aims and uses of epidemiology are also summarized, including describing disease problems, assessing population health, informing individual decisions, understanding disease natural history, identifying causes and risks, and planning/evaluating interventions.
This document provides an introduction to basic epidemiology concepts. It defines epidemiology as the study of disease patterns in populations and the factors influencing these patterns. The document outlines key epidemiology concepts like prevalence, incidence, risk factors, exposures and outcomes. It discusses the history of epidemiology and different epidemiological study designs. Important epidemiology measures are also introduced, including various ways to define and calculate disease occurrence and frequency in populations.
BIOSTATISTICS IN MEDICINE & PUBLIC HEALTH.pptxrambhapathak
This document provides an introduction to biostatistics. It defines biostatistics as the science dealing with statistical methods used in medicine, biology, and public health research and planning. It discusses some key concepts in biostatistics including sources of medical uncertainties, the role of biostatistics in reducing uncertainties, and its applications in clinical medicine, preventive medicine, and medical research. Biostatistics helps manage uncertainties by providing tools for study design, data analysis, and interpreting results in a way that integrates probability with clinical decision making.
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in populations and the application of this study to control health problems. It has three main components: disease frequency, disease distribution, and disease determinants. Epidemiologists ask questions and make comparisons between groups to identify risk factors, understand disease processes, assist in public health practice and clinical decision making. The natural history of a disease describes its progression over time from exposure and subclinical stages to clinical symptoms and outcomes with or without treatment.
Epidemiology is a basic discipline essential to both clinical and community medicines. It also helps to develop the way of thinking about health and disease.
O Biostatistics is the application of statistics to biological and medical data. It plays an integral role in modern medicine by analyzing data to determine treatment efficacy and develop clinical trials. A landmark study in biostatistics was the Framingham Heart Study, which through longitudinal data collection and analysis identified major risk factors for cardiovascular disease and influenced our current understanding of heart disease as a leading cause of death. Biostatistics obtains, analyzes, and interprets quantitative medical data to further human health.
This document provides an overview of various research designs used in public health, including observational studies like cohort and case-control studies, as well as experimental designs like randomized controlled trials. It discusses key aspects of research design such as minimizing bias, ensuring adequate sample size and power, collecting and analyzing data appropriately, accurately reporting and interpreting results, and addressing limitations. Overall, it emphasizes the importance of rigorous research methodology in generating reliable evidence to inform public health practice and policy.
This document discusses medical research study designs and biostatistics. It defines biostatistics as the application of statistics to biological sciences, medicine, and public health. Biostatistics is key to conducting clinical trials and is important for evidence-based medicine. Various types of studies are described including observational studies like descriptive, ecological, cross-sectional, case-control and cohort studies. Experimental studies include randomized controlled trials. Randomized controlled trials are described as one of the most powerful study designs where participants are randomly allocated to treatment or control groups to reduce bias.
Talk about data visualization as tool to add new value to health data, presented in the Panel: Old School Data Set, Rebooted, Repurposed and Creating Killer New Value Health Datapalooza, June 2, 2015
This document provides an introduction to epidemiology, including its historical development, key concepts, uses, and importance. It explores epidemiology as the study of disease distribution and determinants in populations for the purpose of disease control. The epidemiological triad of agent-host-environment is discussed as a model for explaining infectious disease transmission. The goals of epidemiology are identified as identifying disease causes and developing prevention and treatment strategies. Its importance in healthcare includes disease surveillance, screening programs, and informing public health policy and planning.
- Pharmacoepidemiology is the study of the use and effects of medications in large populations. It applies epidemiological methods to study drug effects and usage patterns in human populations.
- Several drug safety events throughout history led to the evolution and increased importance of pharmacoepidemiology, including the Elixir Sulfanilamide tragedy in 1937 and the Thalidomide crisis in the 1960s.
- Pharmacoepidemiology utilizes various study designs like case reports, case series, cross-sectional studies, cohort studies, and case-control studies to generate and test hypotheses about medication risks and benefits at a population level.
1. Cross-sectional studies measure exposures and outcomes in a population at a single point in time and are commonly used to estimate disease prevalence and describe population characteristics.
2. They can provide clues about associations but cannot determine causation due to their observational nature.
3. Planning is important for cross-sectional studies including clear objectives, sampling, data collection methods, and analysis of results with descriptive statistics.
Case reports and studies may be defined as the non-experimental description of an individual or a few of cases in terms of new or unusual presentation of the diseases, an unexpected disease course or pathophysiology, and new effects (either beneficial or detrimental) of existing medications or procedures. Although they suffer from the non-experimental nature and other potential bias and errors, case reports and studies have played and will continue to play an important part in the advancement of medicine. They often serve as "primers" leading to discoveries of new diseases/disease pathophysiology as well as development of new preventive and therapeutic measures. Case reports and case studies are also employed as a platform for the training of medical students and/or resident doctors in scientific writing and critical thinking. Although the significance of case reports and studies in medicine has being recognized since the early stage of development of clinical medicine, their value needs to be appreciated in the context of modern clinical research design and the hierarchy of strength of evidence for guiding patient care. This paper discusses case reports and studies within the big picture of clinical research, research design, and evidence-based practice.
Biostat 8th semester B.Pharm-Introduction Ravinandan A P.pdfRavinandan A P
This document discusses biostatistics and its applications. It begins by providing examples of class averages, disease rates, medication adherence rates, and comparing drug efficacies that demonstrate the need for biostatistics. It then defines biostatistics as the application of statistical methods to biological and medical data. The document outlines the history of biostatistics and discusses its uses in areas like public health, clinical trials, and medicine. It also covers descriptive and inferential statistics, limitations of statistics, and emphasizes that biostatistics provides an important tool for evidence-based decision making in fields involving human health and biology.
Pharmacoepidemiology is the study of the use and effects of drugs in large populations. It combines the fields of clinical pharmacology and epidemiology. Recent data shows that adverse drug reactions cause 100,000 deaths and 1.5 million hospitalizations in the US each year, yet 20-70% may be preventable. Pharmacoepidemiology aims to detect adverse drug reactions early through observational studies in order to educate healthcare providers and the public about safer medication use. Key study types include case series, case-control studies, cohort studies, cross-sectional studies, and experimental studies. Drug utilization studies also fall under pharmacoepidemiology and evaluate factors related to prescribing, dispensing, administering, and taking
Public health nutrition- national disordersRenu K Abraham
This document provides an overview of epidemiology and nutritional disorders. It defines epidemiology as the study of the distribution and determinants of health-related states or events in populations. The document discusses the history of epidemiology and describes observational and analytical epidemiological study designs like case reports, case series, ecological studies, case-control studies, cohort studies, and experimental epidemiology. It also covers the principles, aims, methods and uses of epidemiology in investigating disease occurrence, risk factors and planning public health programs.
Epidemiology is the study of the distribution and determinants of health-related states and events in specified populations, and the application of this study to control health problems. It involves describing disease occurrence, identifying risk factors and causes, and conducting analytical studies to test hypotheses. There are two main types of epidemiological studies - descriptive epidemiology which examines disease occurrence by time, place and person, and analytical epidemiology which tests hypotheses about risk factors. Observational studies include cohort studies, case-control studies and cross-sectional studies, while experimental studies involve determining exposure in a controlled manner. The ultimate goal of epidemiology is to improve disease prevention and control to enhance quality and duration of life.
This document provides an introduction to epidemiology. It begins with definitions of epidemiology as the study of patterns, causes, and effects of health and disease conditions in populations. It then discusses the history of epidemiology from Hippocrates' observations to modern uses. The types of epidemiological studies covered are descriptive studies like cross-sectional and analytical studies like cohort and case-control studies. The aims and uses of epidemiology are also summarized, including describing disease problems, assessing population health, informing individual decisions, understanding disease natural history, identifying causes and risks, and planning/evaluating interventions.
This document provides an introduction to basic epidemiology concepts. It defines epidemiology as the study of disease patterns in populations and the factors influencing these patterns. The document outlines key epidemiology concepts like prevalence, incidence, risk factors, exposures and outcomes. It discusses the history of epidemiology and different epidemiological study designs. Important epidemiology measures are also introduced, including various ways to define and calculate disease occurrence and frequency in populations.
BIOSTATISTICS IN MEDICINE & PUBLIC HEALTH.pptxrambhapathak
This document provides an introduction to biostatistics. It defines biostatistics as the science dealing with statistical methods used in medicine, biology, and public health research and planning. It discusses some key concepts in biostatistics including sources of medical uncertainties, the role of biostatistics in reducing uncertainties, and its applications in clinical medicine, preventive medicine, and medical research. Biostatistics helps manage uncertainties by providing tools for study design, data analysis, and interpreting results in a way that integrates probability with clinical decision making.
Dialysis and care of person with dialysis .pptxRishika Rawat
Kidney dialysis is the process of removing excess water, solutes, and toxins from the blood in people whose kidneys can no longer perform these functions naturally. Along with kidney transplantation, it is a type of renal replacement therapy.
Tumors of Urinary System - Carcinoma - Kidney, UB, Prostate, Penis & Testes.Uthamalingam Murali
This PPT includes all the tumors related to the Urinary System. It covers the clinical features, staging methods & management of the urological tumors. This topic is very important for MBBS students for answering the theory questions as well as for their clinical career. The recent trends in the management aspects have been included in this PPT....
Formulation of herbal hand sanitizer using various herbal extract.pptxDHANASHREE KOLHEKAR
Formulation of herbal hand sanitizer using various herbal extract.
Presented by-
DHANASHREE KOLHEKAR
FINAL YEAR B.PHARMA
SCPER, KOPARGAON
The main objective for the preparation of a poly herbal hand sanitizer is for "hand hygiene
Mainly hand sanitizer can stop the chain of transmission of microorganisms and other bacteria from hand to different parts of our body
Hand sanitizer avoids adverse effects like itching, irritation, dermatitis etc..
So, maintaining hand hygiene as the prime criteria-instead of some synthetic formulation an attempt has been made to formulate an herbal hand sanitizer by using some extracts of commonly available plants like Neem, Aloe vera.
The aim of present work is to formulate and evaluate herbal hand sanitizer
To compare antimicrobial activity efficacy with commercially available hand sanitizer.
Breaking Down the Duties of a Prior Authorization Pharmacist.docxPortiva
In today’s healthcare landscape, the role of pharmacists extends far beyond dispensing medications. One specialized role that is becoming increasingly vital is that of the prior authorization pharmacist. These professionals are integral to the process that ensures patients receive the medications they need while navigating the often complex and time-consuming world of insurance requirements.
Clinical Anatomy of Thorax – Key Conditions
1. Acute Coronary Syndrome (ACS)
Structures Involved: Coronary arteries (mainly LAD, RCA, LCX), myocardium.
Anatomical Basis: Plaque rupture or thrombus formation in coronary arteries leads to myocardial ischemia or infarction.
Referred pain via T1–T4 spinal nerves (commonly radiates to left arm, jaw).
Importance of coronary artery dominance (RCA vs. LCA dominant circulation).
Pericardium and myocardium at risk of damage during infarction or interventions.
2. Cardiac Tamponade
Structures Involved: Pericardial sac, heart chambers (especially right atrium and ventricle).
Anatomical Basis: Accumulation of fluid (blood or effusion) in pericardial space compresses the heart.
Pericardiocentesis typically performed at left 5th-6th intercostal space near the sternum.
3. Pneumonia
Structures Involved: Alveoli, bronchioles, lobes of lungs.
Anatomical Basis: Infection leads to inflammation and consolidation of lung tissue.
Lobar pneumonia follows bronchopulmonary segments (anatomically defined regions).
Right middle lobe more susceptible due to vertical right main bronchus.
4. Pleural Effusion
Structures Involved: Pleural cavity (between visceral and parietal pleura).
Anatomical Basis: Fluid accumulation in pleural space restricts lung expansion.
Costodiaphragmatic recesses often collect fluid first – seen on upright chest X-ray.
Thoracentesis typically done in the 8th or 9th intercostal space, midaxillary line.
Risk of injury to intercostal neurovascular bundle** (run under each rib).
5. Intractable Angina Pectoris
Structures Involved: Coronary arteries, myocardium, cardiac autonomic innervation.
Anatomical Basis: Persistent ischemia due to severe coronary artery narrowing despite treatment.
AI in Esophageal Radiotherapy Planning: Not Ready for Clinical Use
The potential for Artificial Intelligence (AI) to enhance radiotherapy (RT) planning in esophageal cancer is a topic of growing interest. AI could revolutionize the field by improving treatment precision, reducing clinician workload, and increasing overall treatment efficiency. However, despite these promising possibilities, AI is not yet ready for clinical use in esophageal cancer radiotherapy planning, due to several significant challenges.
Esophageal cancer is challenging for radiation therapy due to its complex anatomy, where the esophagus is closely situated near vital structures like the lungs, heart, and spinal cord. This makes treatment planning labor-intensive, as it requires precise dose distribution to avoid damage to critical organs while effectively targeting the tumor. Currently, clinicians rely on advanced techniques such as contouring, image registration, and dose optimization, which are difficult to automate, especially in esophageal cancer.
While AI has made advancements in areas like tumor detection, segmentation, and plan evaluation, its application in esophageal RT planning faces limitations. One of the main barriers is the scarcity of large, diverse datasets to train AI models. Esophageal cancer has considerable patient variability, with differences in tumor size, location, and anatomical structures. AI models trained on insufficient or homogeneous datasets risk producing unreliable results when applied to diverse clinical settings.
Another significant limitation is that AI systems are not yet capable of making the complex clinical decisions that human oncologists do. For example, AI may assist in tumor segmentation but lacks the ability to fully understand the nuances of tumor behavior, patient comorbidities, or changes in anatomy throughout the treatment course. Tumors can shrink or shift during therapy, making the positioning of surrounding organs dynamic. AI models often struggle to adapt to these changes in real-time, requiring continual human oversight.
Additionally, AI’s "black-box" nature presents a challenge. AI algorithms are often not transparent, meaning clinicians may not fully understand why certain decisions are made. In the highly sensitive field of radiation oncology, where small errors can have serious consequences, the inability to explain AI's decision-making process is a critical issue. Clinicians need to trust and validate the AI-generated treatment plans to ensure patient safety and optimal outcomes.
Regulatory and ethical challenges also hinder AI adoption in clinical settings. AI applications must undergo rigorous validation and approval from bodies such as the FDA, and in the case of esophageal RT, the evidence supporting AI's reliability, safety, and clinical benefit is still insufficient. Moreover, ethical considerations like data privacy, algorithmic bias, and patient consent need to be addressed before AI can be widely .
Report Back from SGO: What’s New in Ovarian Cancer Research?RheannaRandazzo
Are you curious about what’s new in ovarian cancer research? We invite you to join Dr. Premal Thaker, Distinguished Professor and interim Chief of Gynecologic Oncology at Siteman Cancer Center, to hear the latest updates from the Society of Gynecologic Oncology (SGO) Annual Meeting. Dr. Thaker will highlight what the research presented at the conference means for you and answer your questions about the new developments.
2. “Breast cancer is the 2nd
leading cause of cancer
death in women; 1 in 40 womens ”
2
3. But how do we know this fact is true ??
Where did that information come from??
● Researchers simply followed the numbers –the biostatistics
numbers to be exact
3
4. Topic: Introduction to Biostatistics
Date: 5/2/2024
Duration: 35 minutes
Setting: classroom
Specific learning objective:
The student should be able to
1. To define statistics and biostatistics
2. To know about the background
3. To enumerate the basics of biostatistics
4. To enumerate the application of biostatistics in different field
Sl no Content Teaching methods Media used time
1 Introduction Lecture Power point 5 mins
2 History Lecture Power point 3 mins
3 Basics of biostatistics Lecture Power point 10 mins
4 Application Lecture Power point 15 mins
5 Summary and conclusion Lecture Power point 2 mins 4
6. INTRODUCTION
What is statistics??
Statistics may be defined as the science which deals with
•Collection
•Presentation
•Analysis
•Interpretation
- croxton and cowden
Numerical data
01
6
7. What is biostatistics ??
● Biostatistics is that branch of statistics concerned with
mathematical facts and data related to biological
events. - Soben Peter 6th Edition, Indian J Pharmacol.2012
jul-aug;44(4):435-442
7
8. ●It’s the science that helps in managing medical
uncertainties
●It mainly consists of various steps like generation of
hypothesis ,collection of data and application of statistical
analysis
8
9. ●Any science needs precision for its development
●Precision is all the more important when it comes to
health science
Precision-facts ,observation or measurements have to
be expressed in figures
9
10. Why study statistics?
Decision makers use statistics to :
Present and describe data and information properly
Draw conclusion about large groups of individuals or
information collected from subsets of the individuals or
items
Improve the processes
1
11. Why should medical student learn
biostatistics??
●To clarify the relationship between certain factors and disease
●Enumerate the occurrences of disease
●Explain etiology of disease
11
12. ●Predict number of disease occurrences
●Criticize the medical literature
●Planning ,conduct and interpretation of much of medical
research are becoming increasingly reliant on statistical method
1
2
13. Role of biostatistics in clinical research
• For proper development of protocol and study design
• To calculate right sample size
• For proper randomization of sample
1
3
14. • Data management and monitoring
• Provides definition for data analysis
• Data presentation for clinical studies in the form of tabulation
and graphic representation
1
4
15. HISTORY
02
The science of statistics is said to have originated from two
main sources:
1. Government records.
2. Mathematics.
FATHER OF HEALTH STATISTICS- John Graunt
He is also knows as father of demography who published a
landmark analysis of mortality data 1
5
16. • He was first to apply statistical method
• It developed from registration of heads of families in
ancient Egypt to the Roman census on military strength,
birth and deaths etc and found its application gradually in
the field of health and medicine
• He is neither a physician nor a mathematician, he is a
haberdasher by profession
1
6
18. • Constant – Quantities that do not vary e.g.
in biostatistics, mean, standard deviation
are considered constant for a population.
• Variable – Characteristics which takes
different values for different person, place
or thing such as height, weight, blood
pressure.
1
8
19. •Parameter – It is a constant that describes a
population
•Statistic – Statistic is a constant that describes
the sample
•
1
9
20. • Attribute - A characteristic based on which the population
can be described into categories or class e.g. gender,
caste, religion
2
0
21. APPLICATION
In physiology and Anatomy
• To define what is normal and healthy in a population
• To find the limits of normality in variables such as weight
and pulse rate in a population
• To find the difference between means and proportion of
normal at two different places or in different times
• To find the correlation of two variables X and Y
04
2
5
22. In pharmacology
● To find the action of a drug
● To compare the action of two different drugs or two
successive dosages of the same drug
● To find the relative potency of new drug with respect to a
standard drug
2
6
23. In medicine
● To compare the efficacy of particular drug , operation or
line of treatment
● To find the association between two attributes
● To find the signs and symptoms of a disease or syndrome
● To provide the magnitude of any disease in the community
2
7
24. Biochemistry
● Can focus on –
genetic modification of plant and animals
Gene therapy
Drug manufacturing
● In all these cases research is carried out by either
developing something or testing whether it has desired
performance
2
8
25. In community medicine and
public health
● To evaluate the efficacy of vaccine in the field
● In epidemiological studies
● To test the difference between two population is
real or a chance of occurrence
2
5
2
9
26. ● To measure morbidity and mortality
● To evaluate achievements of public health program
● To fix priorities in public health program
● To help promote legislation and create administration
standards for oral health
3
0
27. In environmental science
● Regular monitoring- to detect changes in
environments
● Target studies- likely impact of change by
accidental occurrence
● Baseline studies- document present state of
environment to provide background in case of
unknown changes in future
3
2
28. In nutrition
● Appropriate statistical analysis are expected to make an
important contribution to solve major nutritional
associated problems in humans.
3
3
29. Use in dental science
● To find statistical difference between mean of
2 different groups
● To assess the state of oral health in the
community and determine the availability and
utilization of dental care services
3
4
30. • To indicate the basic factor underlying the state of
oral health by diagnosis the community and find
solution to such problem
• To determine success and failure of specific oral health
program
• Helps students to critically evaluate the articles in
medical and dental journals
3
5
31. SUMMARY
1. What is biostatistics ??
2. Applications of biostatistics ??
05
3
6
32. CONCLUSION
● Biostatistical technique can assure that the results found in
such a study are not merely because of chance
● In every case of our life ,statistics plays a major role for
better gaining and accurate results
● A well designed and properly conducted study is a basic
pre requisite to arrive at valid conclusions
06
3
7
33. REFERENCES
● Methods In Biostatistics Sixth Edition: BK Mahajan
● Fundamentals Of Biostatics ;Sanjeev BS
07
3
8
#19: e.g. in a college there are 40% girls. This describes the population, hence it is a parameter. e.g. out of 200 students of the same college 45% girls. This 45% will be statistic as it describes the sample.