• icmm

  • Referenced in 3 articles [sw21305]
  • basic problem is to fit high-dimensional regression which most coefficients are assumed ... handle the normal, binary logistic, and Cox’s regression (Pungpapong...
  • fastcox

  • Referenced in 3 articles [sw13711]
  • fastcox: Lasso and elastic-net penalized Cox’s regression in high dimensions models using ... solution paths of the elastic net penalized Cox’s proportional hazards model...
  • plsRcox

  • Referenced in 2 articles [sw12195]
  • plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques. Provides Partial least squares ... Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional...
  • Clinstat

  • Referenced in 1 article [sw24902]
  • regression, multiway anova, logistic regression, or Cox regression. It has a simple data file system...
  • Publish

  • Referenced in 1 article [sw35677]
  • tables, tables of logistic regression and Cox regression results as well as forest plots...
  • cosso

  • Referenced in 1 article [sw23471]
  • quantile regression, logistic regression and the Cox regression models...
  • MIICD

  • Referenced in 4 articles [sw17902]
  • censored data or proportional sub-distribution hazards regression for interval censored competing risks data ... survival function, cumulative incidence function, Cox and Fine & Gray regression coefficients and associated variance-covariance...
  • coxph

  • Referenced in 2 articles [sw13355]
  • Hazards Regression Model. Fits a Cox proportional hazards regression model. Time dependent variables, time dependent...
  • multipleNCC

  • Referenced in 1 article [sw14690]
  • multipleNCC: Weighted Cox-regression for Nested Case-Control Data. Fit Cox proportional hazard models with...
  • SmoothHR

  • Referenced in 3 articles [sw11464]
  • curves of continuous predictors. The Cox proportional hazards regression model has become the traditional choice ... medical studies. To introduce flexibility into the Cox model, several smoothing methods may be applied...
  • StatAid

  • Referenced in 1 article [sw35922]
  • dependent outcome: Kaplan-Meier curves and cox regression; Multivariate analysis and models for continuous, categorical...
  • MoNeRe

  • Referenced in 1 article [sw28180]
  • Multi-omic Network Regression: Methodology, Tool and Case Study. The analysis of biological networks ... combine metabolic modelling and networked Cox regression, using the metabolic model of the bacterium Helicobacter...
  • epifit

  • Referenced in 1 article [sw18469]
  • covers fitting of variety models including Cox regression models, linear regression models, Poisson regression models...
  • CauchyCP

  • Referenced in 1 article [sw38234]
  • omnibus test of change-point Cox regression models to improve the statistical power of detecting...
  • RcmdrPlugin.survival

  • Referenced in 4 articles [sw24620]
  • survival package, with dialogs for Cox models, parametric survival regression models, estimation of survival curves...
  • gtsummary

  • Referenced in 1 article [sw36469]
  • Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified...
  • ELYP

  • Referenced in 6 articles [sw16017]
  • Cox model, for parameters defined via both baseline hazard function and regression parameters...
  • Pomelo II

  • Referenced in 3 articles [sw35617]
  • comparisons (t-test, ANOVA) and regression; survival analysis using Cox model; contingency table analysis with...
  • penalized

  • Referenced in 26 articles [sw06071]
  • leave-one-out cross-validation for ridge regression. In model building and model evaluation, cross ... used in generalized linear models and Cox’ proportional hazards model with a ridge penalty term...
  • coxrobust

  • Referenced in 2 articles [sw09174]
  • coxrobust: Robust Estimation in Cox Model. Fit robustly proportional hazards regression model...