Most of the available models can deal with a binary or a quantitative phenotype, but none has yet discussed the application of haplotype-based association analysis to a survival outcome.

The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not ...

6. log rank tests and Cox proportional hazards regression; 7. testing for proportional hazards and modelling non-proportional hazards; 8. survival-time data management; and 9. choosing between ...

The restricted mean survival time (RMST) analysis technique was introduced ... In addition, unlike Cox regression models and other popular models, estimations and comparisons made using RMST ...

The study uses the hazard rate to measure the odds ... The problem is that linear regression often makes use of both positive and negative numbers, whereas survival analysis deals with time ...

We evaluated patient outcomes over a 10-year follow-up period (median, 5.2 years), using a multivariable piecewise Cox regression ... subgroup analysis, breast-cancer–specific survival among ...

6. log rank tests and Cox proportional hazards regression; 7. testing for proportional hazards and modelling non-proportional hazards; 8. survival-time data management; and 9. choosing between ...