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Three-Way Contingency Tables
In studying the association between two variables we should control for variables that may influe...
Models for Two-Way Contingency Tables
Recall in the last section Generalized Linear Models (GLMs) were introduced as an extension of th...
Modeling the Mean and Covariance
Suppose we have a model of mean response as a product of time on a continuous value:The top is co...
Bayesian Linear Regression
By now we know what a linear regression looks like. Let's consider a special case where number of...
Continuous and Binary Endpoints
Outcomes are either continuous or dichotomous. Primary and secondary outcomes must be defined a p...
Response Profile Analysis
Are the mean response profiles similar in the groups, or in other words, are the mean response ...
Introduction
Generalized linear models are extensions of classical linear models. Classes of generalized linea...
Randomization of Subjects
Subjects are assigned to study groups by a random mechanism not controlled by the patient or the ...
Introduction to Clinical Trials
A clinical trial is defined as a prospective study comparing the effect or value of an interventi...
Introduction to Longitudinal and Clustered Data
Correlated data occurs in a variety of situations. The four basic types: Repeated measurements...
Sampling Strategy
We could determine if a intervention is meeting the target through a census, sampling plan ,or LQ...
Meta Analysis
GWAS is performed on millions of SNPs. Because of multiple testing, we use very stringent thresho...
Missing Data
Missing data is common in epidemiology studies, and always observed in longitudinal studies. Inad...
Statistical Modeling
Statistical association analysis is not all about significance. There is much to consider when de...
Two-Way ANOVA
We've learned about One-Way Analysis of Variance (ANOVA) previously, it is a regression model for...
Interactions in Genetic Assocation Analysis
Statistical interaction occurs between two factors if their combined effect is different than wha...
Poisson Regression
We use the Poisson Regression to model a risk ratio when we are interested not in whether somethi...
Sampling
Types of probability samples: Simple random sample - everyone in the population has equal like...
Sequencing Data and Analysis of Rare Variants
Genotyping arrays can be obtained at pre-selected sites for each sample. Ex. Genotyping sites kno...
Model Fit & Concepts of Interaction
Review: Logistic and Proportional Hazards Regression Model Selection You can look at changes in ...