• glmnet

  • Referenced in 537 articles [sw08159]
  • multinomial regression models, poisson regression and the Cox model. Two recent additions are the multiresponse...
  • rms

  • Referenced in 95 articles [sw04532]
  • work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear...
  • gbm

  • Referenced in 53 articles [sw07994]
  • distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential...
  • BLINPLUS

  • Referenced in 32 articles [sw37140]
  • user (the ”weights”). Regression model parameters from Cox models (PROC PHREG) and linear regression models...
  • BMA

  • Referenced in 12 articles [sw08015]
  • generalizable linear models and survival models (cox regression...
  • eha

  • Referenced in 9 articles [sw06775]
  • hazard distributions, in addition to traditional Cox regression; * Presents mathematical details as well as technical...
  • CASPAR

  • Referenced in 6 articles [sw12242]
  • patients are available, resulting in severely underdetermined regression or classification models. Several approaches exist ... CASPAR is based on a multivariate Cox regression model that is embedded in a Bayesian...
  • joint.Cox

  • Referenced in 6 articles [sw15793]
  • package joint.Cox. Perform the Cox regression and dynamic prediction under the joint frailty-copula model...
  • Glmnet

  • Referenced in 10 articles [sw25026]
  • logistic and multinomial regression, Poisson regression and the Cox model. Features include: high efficiency...
  • ADJSURV

  • Referenced in 4 articles [sw27710]
  • survival curves based on a stratified Cox regression model. Often in biomedical research ... based on an unstratified or a stratified Cox model. The estimators are constructed by taking...
  • compound.Cox

  • Referenced in 4 articles [sw17899]
  • Under the Cox Proportional Hazard Model. Cox regression for survival data with high-dimensional gene...
  • selectiveInference

  • Referenced in 20 articles [sw19124]
  • with forward stepwise regression, least angle regression, the lasso, and the many means problem ... lasso function implements Gaussian, logistic and Cox survival models...
  • riskRegression

  • Referenced in 2 articles [sw19175]
  • combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance...
  • pycox

  • Referenced in 2 articles [sw33183]
  • event prediction with neural networks and Cox regression. New methods for time-to-event prediction...
  • OrdFacReg

  • Referenced in 2 articles [sw24879]
  • package OrdFacReg: Least Squares, Logistic, and Cox-Regression with Ordered Predictors. In biomedical studies, researchers...
  • joineRML

  • Referenced in 5 articles [sw19419]
  • data is modelled using a Cox proportional hazards regression model with time-varying covariates...
  • coxphf

  • Referenced in 1 article [sw32658]
  • package coxphf: Cox Regression with Firth’s Penalized Likelihood. Implements Firth’s penalized maximum likelihood ... bias reduction method for Cox regression which has been shown to provide a solution...
  • coxphw

  • Referenced in 1 article [sw18373]
  • package coxphw. Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze ... dx.doi.org/10.1002/sim.3623 doi:10.1002/sim.3623). Weighted Cox regression provides unbiased average hazard ratio estimates also...
  • SurvTrunc

  • Referenced in 1 article [sw32872]
  • Doubly Truncated Data. Package performs Cox regression and survival distribution function estimation when the survival ... functions available in this package for Cox regression, survival distribution function estimation, and testing independence...
  • RRC

  • Referenced in 4 articles [sw37143]
  • macro %rrc uses the risk set regression calibration (RRC) method to correct the point ... relative risk in the Cox proportional hazard regression model for bias due to measurement error...