Biostatistical Methods

Short description:  This course offers a comprehensive overview of key statistical methods used in biomedical research, including multiple comparisons, correlations, and survival analysis. Students will learn to select and apply appropriate statistical tests to analyze data and determine the impact of new methodologies. Key topics include data sampling, measures of central tendency and dispersion, hypothesis testing, regression models, non-parametric tests, and survival analysis techniques.

Target Audience: MSc and PhD students interested in analyzing clinical data for research purposes

Prerequisites: None

Course Objectives:

1.        Understand fundamental biostatistics concepts, including sampling, measurement, and descriptive statistics.
2.        Perform t-tests, ANOVA, multiple comparisons, regression, correlation, repeated measures, nonparametric tests, and survival analysis.
3.        Analyze categorical data using rates, proportions, and chi-square tests.
4.        Calculate power and determine sample size for study design.
5.        Construct and interpret confidence intervals.
6.        Use SPSS for statistical analysis and visualization.

Course Materials:

Textbook: Glantz SA. Primer of Biostatistics. 6th ed. New York, NY: McGraw-Hill; 2005.

Software: MATLAB or SPSS could be used.

Module

Topic

Lecture

Module 1

Introduction: Sampling, Experimentation, Measurement, Descriptive Statistics

Module 2

Analysis of Variance

Module 3

t-test, Multiple Comparisons

Module 4

Rates and Proportions

Module 5

Power and Sample Size

Module 6

Confidence Intervals

Module 7

Regression and Correlation

Will be recorded soon

Module 8

Repeated Measures Analysis

Will be recorded soon

Module 9

Nonparametric Methods

Will be recorded soon

Module 10

Survival Analysis

Will be recorded soon

Module 11

Data analysis in SPSS/MATLAB tutorial

Will be recorded soon