Bayesian Methods in Clinical Biostatistics
( 25 Modules )

Module #1
Introduction to Bayesian Statistics
Overview of Bayesian philosophy, Bayes theorem, and contrast with frequentist statistics

Module #2
Foundations of Probability
Review of probability theory, including conditional probability, independence, and Bayes rule

Module #3
Bayesian Inference
Introduction to Bayesian inference, including posterior distributions and posterior summaries

Module #4
Conjugate Priors
Introduction to conjugate priors, including beta-binomial and normal-normal models

Module #5
Bayesian Linear Regression
Introduction to Bayesian linear regression, including posterior inference and model checking

Module #6
Hierarchical Modeling
Introduction to hierarchical models, including multilevel and mixed effects models

Module #7
Bayesian Model Selection
Introduction to Bayesian model selection, including Bayes factors and posterior model probabilities

Module #8
Markov Chain Monte Carlo (MCMC)
Introduction to MCMC methods for posterior inference, including Gibbs sampling and Metropolis-Hastings

Module #9
Bayesian Computation in R
Introduction to Bayesian computation in R, including the use of MCMCpack and rstan

Module #10
Clinical Trial Design
Introduction to Bayesian clinical trial design, including sample size determination and adaptive designs

Module #11
Bayesian Methods for Binary Outcomes
Bayesian approaches for analyzing binary outcomes, including logistic regression and probit models

Module #12
Bayesian Methods for Survival Analysis
Bayesian approaches for survival analysis, including proportional hazards models and cure rate models

Module #13
Bayesian Methods for Longitudinal Data
Bayesian approaches for longitudinal data, including linear mixed effects models and generalized linear mixed models

Module #14
Bayesian Methods for Time-to-Event Data
Bayesian approaches for time-to-event data, including Cox PH models and accelerated failure time models

Module #15
Bayesian methods for High-Dimensional Data
Bayesian approaches for high-dimensional data, including Bayesian shrinkage methods and sparse models

Module #16
Bayesian Methods for Cluster-Randomized Trials
Bayesian approaches for cluster-randomized trials, including Bayesian meta-analysis and network meta-analysis

Module #17
Bayesian Methods for Missing Data
Bayesian approaches for missing data, including multiple imputation and Bayesian model averaging

Module #18
Bayesian Methods for Observational Studies
Bayesian approaches for observational studies, including propensity scores and instrumental variable analysis

Module #19
Bayesian Methods for Personalized Medicine
Bayesian approaches for personalized medicine, including Bayesian decision theory and value of information analysis

Module #20
Bayesian Methods for Regulatory Approval
Bayesian approaches for regulatory approval, including Bayesian decision theory and probabilistic safety metrics

Module #21
Bayesian Methods for Real-World Evidence
Bayesian approaches for real-world evidence, including Bayesian meta-analysis and predictive modeling

Module #22
Bayesian Methods for Safety Monitoring
Bayesian approaches for safety monitoring, including Bayesian sequential methods and predictive modeling

Module #23
Bayesian Methods for Benefit-Risk Assessment
Bayesian approaches for benefit-risk assessment, including Bayesian decision theory and value of information analysis

Module #24
Case Studies in Bayesian Biostatistics
Real-world case studies illustrating the application of Bayesian methods in clinical biostatistics

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

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Bayesian Methods in Clinical Biostatistics ( 25 Modules )

Bayesian Methods in Clinical Biostatistics
( 25 Modules )