Clinical Biostatistics Fundamentals
( 25 Modules )

Module #1
Introduction to Clinical Biostatistics
Overview of biostatistics in clinical research, importance, and applications

Module #2
Types of Clinical Trials
Exploring different types of clinical trials, including observational and interventional studies

Module #3
Study Design and Methodology
Understanding study design, including randomized controlled trials, cross-sectional, and longitudinal studies

Module #4
Measurement and Scales
Introduction to measurement scales, including nominal, ordinal, interval, and ratio scales

Module #5
Descriptive Statistics
Summary statistics, central tendency, and variability measures

Module #6
Data Visualization
Introduction to data visualization techniques, including plots, charts, and graphs

Module #7
Probability Theory
Basic concepts of probability, including events, sample spaces, and probability distributions

Module #8
Discrete Probability Distributions
Binomial, Poisson, and other discrete probability distributions

Module #9
Continuous Probability Distributions
Uniform, normal, and other continuous probability distributions

Module #10
Inference for Means
Confidence intervals and hypothesis testing for means

Module #11
Inference for Proportions
Confidence intervals and hypothesis testing for proportions

Module #12
Comparing Means and Proportions
Hypothesis testing and confidence intervals for comparing means and proportions

Module #13
Analysis of Variance (ANOVA)
Introduction to ANOVA, including one-way and two-way ANOVA

Module #14
Regression Analysis
Simple and multiple linear regression, including model building and diagnostics

Module #15
Survival Analysis
Introduction to survival analysis, including Kaplan-Meier estimates and Cox proportional hazards model

Module #16
Categorical Data Analysis
Contingency tables, chi-square tests, and logistic regression

Module #17
Longitudinal Data Analysis
Introduction to longitudinal data analysis, including repeated measures ANOVA and generalized linear mixed models

Module #18
Missing Data and Imputation
Introduction to missing data, including types of missingness and imputation methods

Module #19
Sample Size Calculation
Introduction to sample size calculation for clinical trials and observational studies

Module #20
Clinical Trials Protocol Development
Developing a clinical trials protocol, including study objectives, endpoints, and statistical analysis plan

Module #21
Data Monitoring and Quality Control
Data monitoring, quality control, and data cleaning

Module #22
Interim Analysis and Stopping Rules
Introduction to interim analysis and stopping rules for clinical trials

Module #23
Statistical Reporting and Interpretation
Best practices for reporting and interpreting statistical results in clinical trials

Module #24
Ethical Considerations in Clinical Biostatistics
Ethical principles and considerations in clinical biostatistics and research

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Clinical Biostatistics Fundamentals career

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Clinical Biostatistics Fundamentals ( 25 Modules )

Clinical Biostatistics Fundamentals
( 25 Modules )