A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study

Abstract Background Typical survival studies follow individuals to an event and measure explanatory variables for that event, sometimes repeatedly over the course of follow up. The Cox regression model has been used widely in the analyses of time to diagnosis or death from disease. The associations...

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Bibliographic Details
Main Authors:	Julius S. Ngwa, Howard J. Cabral, Debbie M. Cheng, Michael J. Pencina, David R. Gagnon, Michael P. LaValley, L. Adrienne Cupples
Format:	Article
Language:	English
Published:	BMC 2016-11-01
Series:	BMC Medical Research Methodology
Subjects:	Time dependent covariate model (TDCM) Cross sectional pooling (CSP) Pooled logistic regression (PLR) Longitudinal and survival data
Online Access:	http://link.springer.com/article/10.1186/s12874-016-0248-6

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http://link.springer.com/article/10.1186/s12874-016-0248-6

A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study

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