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 typical goal in survival analysis ... The regression coefficients may be interpreted as describing the direction and strength of the relationship of each explanatory variable on the effect of the ...

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 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 ...

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 ...

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 ...