• 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...
    35 KB (5,760 words) - 13:31, 2 January 2025
  • model (AFT model) is a parametric model that provides an alternative to the commonly used proportional hazards models. Whereas a proportional hazards...
    11 KB (1,473 words) - 03:37, 27 January 2025
  • 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...
    50 KB (6,976 words) - 09:21, 9 June 2025
  • to other statistical models including generalized linear models, generalized estimating equations, proportional hazards models, and M-estimators. Lasso's...
    52 KB (8,057 words) - 18:50, 23 June 2025
  • _{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...
    17 KB (2,368 words) - 07:35, 31 May 2025
  • Thumbnail for David Cox (statistician)
    field of statistics included introducing logistic regression, the proportional hazards model and the Cox process, a point process named after him. He was a...
    24 KB (2,036 words) - 03:25, 3 April 2025
  • 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...
    5 KB (636 words) - 10:17, 17 June 2021
  • The hazard function h ( t | x , θ ) {\displaystyle h(t|\mathbf {x} ,\mathbf {\theta } )} of the Hypertabastic proportional hazards model has the form...
    36 KB (5,676 words) - 19:07, 17 January 2025
  • Stephen P. Estimation of discrete time (grouped duration data) proportional hazards models: pgmhaz (PDF) (Report). ESRC Research Centre on Micro-Social...
    4 KB (626 words) - 17:45, 25 July 2024
  • instantaneous hazards of progression to one state, conditional on occupying another state. Extensions of the Cox proportional hazard models are popular models in...
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  • 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....
    64 KB (8,546 words) - 13:13, 3 March 2025
  • Thumbnail for Cinnabar moth
    the Red Wood Ant (Formica polyctena): An Analysis Based on the Proportional Hazards Model." Journal of Animal Ecology. 54 (3). "Cinnabar | The Wildlife...
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  • Thumbnail for Kaplan–Meier estimator
    survival adjusted for covariates; parametric survival models and the Cox proportional hazards model may be useful to estimate covariate-adjusted survival...
    27 KB (4,444 words) - 23:08, 19 June 2025
  • Different links g lead to ordinal regression models like proportional odds models or ordered probit models. If the response variable is a nominal measurement...
    31 KB (4,231 words) - 04:22, 20 April 2025
  • logrank statistic can be derived as the score test for the Cox proportional hazards model comparing two groups. It is therefore asymptotically equivalent...
    9 KB (1,532 words) - 13:29, 19 March 2025
  • between threshold regression models derived from first hitting times and the ubiquitous Cox proportional hazards regression model was investigated in. Applications...
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  • Thumbnail for Stratified sampling
    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...
    11 KB (1,524 words) - 08:27, 9 June 2025
  • 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...
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  • Thumbnail for Regression dilution
    Regression dilution (category Regression models)
    regression, and for some non-linear regression models. Other non-linear models, such as proportional hazards models for survival analysis, have been considered...
    18 KB (2,356 words) - 13:17, 27 December 2024
  • Thumbnail for Logistic regression
    example the proportional odds ordinal logistic model). See § Extensions for further extensions. The logistic regression model itself simply models probability...
    127 KB (20,641 words) - 09:18, 24 June 2025
  • multivariate statistics. Survival analysis includes Cox regression (Proportional hazards model) and Kaplan–Meier survival analysis. Procedures for method evaluation...
    5 KB (530 words) - 19:51, 27 November 2023
  • A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional...
    11 KB (1,278 words) - 04:58, 15 April 2025
  • Thumbnail for Box plot
    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...
    20 KB (3,012 words) - 00:34, 29 April 2025
  • COX, oxide capacitance in MOSFET devices Cox model, a proportional hazards model in statistics Cox model engines, made by L.M. Cox Manufacturing Inc....
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  • Poisson regression (category Generalized linear models)
    regression creates proportional hazards models, one class of survival analysis: see proportional hazards models for descriptions of Cox models. When estimating...
    18 KB (2,750 words) - 23:09, 19 June 2025
  • Thumbnail for Chi-squared test
    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...
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  • "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...
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  • estimated from data when doing regression analysis (in particular proportional hazards models in survival analysis and logistic regression) while keeping the...
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  • general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that...
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  • Thumbnail for F-test
    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...
    17 KB (2,189 words) - 12:02, 28 May 2025