Biostatistics

Introduction to Biostatistics course provides an introduction to selected important and commonly used topics in medical research.

Course Introduction

Biostatistics is the application of statistical methods to biological data and is essential for medical research. This course introduces fundamental concepts in biostatistics, including study design, data collection, analysis, and interpretation. Students will learn how to apply statistical methods to real-world medical and biological problems.

Course Content

Module 1: Introduction to Biostatistics

Definition and scope of biostatistics
Role of biostatistics in medical research
Types of data in biomedical studies
Scales of measurement
Basic statistical concepts and terminology

Module 2: Descriptive Statistics

Measures of central tendency
Measures of dispersion
Data visualization techniques
Graphical representation of medical data
Interpreting descriptive statistics in medical context

Module 3: Probability and Distributions

Basic probability concepts
Probability distributions (Normal, Binomial, Poisson)
Sampling distributions
Central Limit Theorem
Applications in medical research

Module 4: Statistical Inference

Hypothesis testing
Type I and Type II errors
P-values and confidence intervals
Sample size determination
Power analysis for medical studies

Module 5: Comparative Statistics

t-tests (one-sample, two-sample, paired)
Analysis of Variance (ANOVA)
Non-parametric tests
Multiple comparison procedures
Interpreting results in clinical context

Assignments

1
Statistical analysis of a public health dataset
2
Design and analysis of a simulated clinical trial
3
Critical evaluation of statistical methods in published medical papers
4
Sample size calculation for different study designs
5
Data visualization project using real medical data

Case Studies

Case Study 1

Analysis of COVID-19 epidemiological data

Case Study 2

Statistical evaluation of a new treatment method

Case Study 3

Risk factor analysis for cardiovascular disease

Case Study 4

Survival analysis in cancer research

Case Study 5

Bioequivalence studies in pharmaceutical research

Datasets

Framingham Heart Study Dataset

Longitudinal data for cardiovascular disease risk factors

Cancer Survival Dataset

Patient data with survival times and treatment information

Clinical Trial Simulator

Tool for generating simulated clinical trial data

WHO Global Health Observatory

International health statistics and indicators

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Data|Statistics|Research|Consultancy