Patrick J. Heagerty

TL;DR: In this paper, a generalized linear model for longitudinal data and transition models for categorical data are presented. But the model is not suitable for categric data and time dependent covariates are not considered.

TL;DR: This work proposes summarizing the discrimination potential of a marker X, measured at baseline (t = 0), by calculating ROC curves for cumulative disease or death incidence by time t, which is presented as ROC(t), and presents an example where ROC (t) is used to compare a standard and a modified flow cytometry measurement for predicting survival after detection of breast cancer.

TL;DR: Former prison inmates were at high risk for death after release from prison, particularly during the first 2 weeks, and interventions are necessary to reduce the risk of death after released from prison.

TL;DR: Improvements in pain and pain-related disability associated with osteoporotic compression fractures in patients treated with vertebroplasty were similar to the improvements in a control group.

TL;DR: New time-dependent accuracy summaries based on time-specific versions of sensitivity and specificity calculated over risk sets are proposed based on a previously proposed global concordance measure, which is a variant of Kendall's tau.