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Table 6 Modeling longitudinal and survival data (framingham heart study)

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

 

AGE (α1)

SEX (α2)

LogTG (γ)

Methods

Estimate

SE

P

Estimate

SE

P

Estimate

SE

P

CSP Unadjusted

0.0528

0.0103

<.0001

−1.0305

0.2434

<.0001

0.6068

0.1732

0.0005

CSP Adjusted & TDCM

0.0561

0.0119

<.0001

−1.0254

0.2435

<.0001

0.6182

0.1741

0.0004

PLR Unadjusted

0.0480

0.0101

<.0001

−1.0179

0.2444

<.0001

0.6023

0.1754

0.0006

PLR Adjusted

0.0520

0.0119

<.0001

−1.0154

0.2444

<.0001

0.6107

0.1755

0.0005

  1. Abbreviations: CSP_UN Unadjusted Cross Sectional Pooling, CSP_AD Adjusted Cross Sectional Pooling, PLR_UN Unadjusted Pooled Logistic Regression, PLR_AD Adjusted Pooled Logistic Regression, TDCM Time Dependent Cox Regression Modeling