of time. In a proportional hazards model, the unique effect of a unit increase in a covariate is multiplicative with respect to the hazard rate. For example...

model (AFT model) is a parametric model that provides an alternative to the commonly used proportional hazards models. Whereas a proportional hazards...

_{k}X_{k}{\big )}.} Such models are generally classed proportional hazards regression models; the best known being the Cox proportional hazards model, and the exponential...

they first see the clinician. The Cox model assumes that the hazards are proportional. The proportional hazard assumption may be tested using the R function...

instantaneous hazards of progression to one state, conditional on occupying another state. Extensions of the Cox proportional hazard models are popular models in...

to other statistical models including generalized linear models, generalized estimating equations, proportional hazards models, and M-estimators. Lasso's...

Stephen P. Estimation of discrete time (grouped duration data) proportional hazards models: pgmhaz (PDF) (Report). ESRC Research Centre on Micro-Social...

field of statistics included introducing logistic regression, the proportional hazards model and the Cox process, a point process named after him. He was a...

_{0}^{t}h(v)dv=-ln(S(t))} The hazard function h(t|x,θ){\displaystyle h(t|\mathbf {x} ,\mathbf {\theta } )} of the Hypertabastic proportional hazards model has the form...

{w} \cdot \mathbf {x} ))} which gives the proportional hazards model. The probit version of the above model can be justified by assuming the existence...