Bayesian Modeling in Biomedical Research
BS849: Statistical methods that assign probabilities or distributions to events or parameters based on experience or best guesses before experimentation and data collection and that apply Bayes' theorem to revise the probabilities and distributions after obtaining experimental data
Introduction to Bayesian Modeling
In the frequentist approach, estimated probabilities are viewed as one of an infinite sequence of...
Bayesian Logistic Regression
Let Y be an indicator for presence of disease -> Y | p ~ Bin(p, 1) Logistic regression models...
Bayesian Linear Regression
By now we know what a linear regression looks like. Let's consider a special case where number of...
Hierarchical Models
Previously we have assumed given covariates, the observations are independent. However, there are...