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