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GLM for Count Data
Generalized linear models for count data are regression techniques available for modeling outcome...
Mutlivariate and Joint Models for Longitudinal Data
Longitudinal studies are commonly designed in many research fields in order to see changes over a...
Interim Analysis and Data Monitoring
Clinical trials are often longitudinal in nature. It is often impossible to enroll all subjects a...
Multiple Imputation
If no missing data is present our statistical methods provide valid inference only if the followi...
Effect Modification and Interaction
Interaction is when a treatment effect is different across different subgroups of the population ...
GLM for Multinomial Outcomes
Multinomial outcomes are much akin to binomial outcomes, with added complexity due to outcomes wi...
Multi-Level Modeling
Recall the core of mixed models is that they incorporate fixed and random effects. While single ...
Non-Inferiority in Clinical Trials
Usually clinical trials should show if a new treatment is superior to placebo or no treatment, bu...
Generalized Linear Mixed Effects Models
Generalized Linear Mixed Models (GLMMs) are an extension of linear mixed models to allow response...
Introduction to Bayesian Modeling
In the frequentist approach, estimated probabilities are viewed as one of an infinite sequence of...
Hypothesis Testing with GLM
Effect modification can be modeled with logistic regression by including interaction terms. A sig...
Hierarchical Models
Previously we have assumed given covariates, the observations are independent. However, there are...
Multiple Comparisons
There are some situations where it may be necessary to have multiple hypothesis tests; ANOVA with...
Marginal Methods
In many biomedical applications outcomes are binary, ordinal or a count. In such cases we conside...
Survival Analysis in Clinical Trials
We've already covered survival analysis in great detail here. This will be review, application to...
Linear Mixed Effects Models II
The simplest mixed effect model is a random intercept model where Zi = 1; The random intercept mo...
Linear Mixed Effects Models I
Here we'll be considering an alternative approach for analyzing longitudinal data using linear mi...
Binomial Outcomes
Frequently dichotomous outcomes are used in medical studies, such as presence of a disease or exp...
Bayesian Logistic Regression
Let Y be an indicator for presence of disease -> Y | p ~ Bin(p, 1) Logistic regression models...
Baseline Variable Adjustment
Baseline covariates are variables expected to influence the outcome, measured before the start of...