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

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

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...

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

_{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...

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...

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

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

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

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

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

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....

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...

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

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

term linear model refers to any model which assumes linearity in the system. The most common occurrence is in connection with regression models and the term...

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

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

"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...

A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional...

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

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...

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

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

{\displaystyle P(Y|X)} . In many cases model based techniques permit the model structure to undergo refutation tests. Any model which implies the independence...

regression model. Under certain conditions, simply applying OLS to data from a single-index model will consistently estimate β up to a proportionality constant...

making the width of the box proportional to the size of the group. A popular convention is to make the box width proportional to the square root of the...

econometrics, the autoregressive conditional heteroskedasticity (ARCH) model is a statistical model for time series data that describes the variance of the current...