To evaluate various regression methods used in biostatistics, including their applications and limitations.
Review of regression methods including linear, logistic, survival, and repeated measures models.
Discussion of the statistical principles underlying each regression technique.
Identification of key differences among linear, logistic, and survival regression in data handling.
Insights into the application of repeated measures for longitudinal data analysis.
Abstract
"Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models." Journal of the American Statistical Association, 101(473), pp. 403–404