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...

The hazard function h ( t | x , θ ) {\displaystyle h(t|\mathbf {x} ,\mathbf {\theta } )} of the Hypertabastic proportional hazards model has the form...

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...

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

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

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

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

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

logrank statistic can be derived as the score test for the Cox proportional hazards model comparing two groups. It is therefore asymptotically equivalent...

COX, oxide capacitance in MOSFET devices Cox model, a proportional hazards model in statistics Cox model engines, made by L.M. Cox Manufacturing Inc....

the Red Wood Ant (Formica polyctena): An Analysis Based on the Proportional Hazards Model." Journal of Animal Ecology. 54 (3). "Cinnabar | The Wildlife...

"Methods for the Analysis of Sampled Cohort Data in the Cox Proportional Hazards Model" (PDF). Annals of Statistics. 23 (5): 1749–1778. doi:10.1214/aos/1176324322...

regression creates proportional hazards models, one class of survival analysis: see proportional hazards models for descriptions of Cox models. When estimating...

nonparametric models. These models often use smoothing or kernels. A well-known example of a semiparametric model is the Cox proportional hazards model. If we...

regression, and for some non-linear regression models. Other non-linear models, such as proportional hazards models for survival analysis, have been considered...

Proportionate allocation uses a sampling fraction in each of the strata that are proportional to that of the total population. For instance, if the population consists...

survival adjusted for covariates; parametric survival models and the Cox proportional hazards model may be useful to estimate covariate-adjusted survival...

estimated from data when doing regression analysis (in particular proportional hazards models in survival analysis and logistic regression) while keeping the...

component of the proportional hazards model: using a restriction on the hazard function, the likelihood does not contain the shape of the hazard over time....

Panel models Cox proportional hazards model Neural networks Classification trees Jarrow–Turnbull model Merton model KMV model Bankopedia:PD Definition FT...

different probabilities of being chosen if the four sample sizes are not proportional to the populations of the four neighborhoods. In such a case, we would...

Cox proportional hazards model. Journal of the American Statistical Association 84: 1074-1078. Lin DY, Wei LJ, Ying Z (1993). Checking the Cox model with...

multivariate statistics. Survival analysis includes Cox regression (Proportional hazards model) and Kaplan–Meier survival analysis. Procedures for method evaluation...

Different links g lead to ordinal regression models like proportional odds models or ordered probit models. If the response variable is a nominal measurement...

statistical modelling. Terminology is inconsistent, but three major types can be distinguished, following Jebara (2004): A generative model is a statistical...

between threshold regression models derived from first hitting times and the ubiquitous Cox proportional hazards regression model was investigated in. Applications...

distributions can be used to model the failure distribution (see List of important probability distributions). A common model is the exponential failure...

two models, 1 and 2, where model 1 is 'nested' within model 2. Model 1 is the restricted model, and model 2 is the unrestricted one. That is, model 1 has...