• SAS/STAT

  • Referenced in 403 articles [sw18788]
  • variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric...
  • survival

  • Referenced in 157 articles [sw04364]
  • package survival: Survival analysis, including penalised likelihood , survival analysis: descriptive statistics, two-sample tests, parametric...
  • GMRFLib

  • Referenced in 282 articles [sw06641]
  • time-series analysis to the analysis of longitudinal and survival data, spatio-temporal models, graphical ... quantitative researchers in engineering, epidemiology, image analysis, geography, and ecology, introducing them to this powerful...
  • invGauss

  • Referenced in 114 articles [sw11207]
  • Borgan O, Gjessing HK. Survival and Event History Analysis. A Process Point of View. Springer...
  • mlr

  • Referenced in 27 articles [sw12357]
  • also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning...
  • gcmr

  • Referenced in 26 articles [sw07433]
  • continuous setting numerical approximations are used. Residual analysis and a specification test are suggested ... series, cross-design data, longitudinal studies, survival analysis and spatial regression...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • recognition algorithms such as kernel Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks ... data visualization and dimensionality reduction, and survival analysis. For very large scale problems a method...
  • dynpred

  • Referenced in 13 articles [sw35364]
  • Package to ”Dynamic Prediction in Clinical Survival Analysis”. The dynpred package contains functions for dynamic ... prediction in survival analysis...
  • uniCox

  • Referenced in 14 articles [sw19131]
  • model. Univarate shrinkage prediction for survival analysis using in the Cox model.. Especially useful...
  • KMsurv

  • Referenced in 9 articles [sw15343]
  • sets from Klein and Moeschberger (1997), Survival Analysis. Data sets and functions for Klein ... Moeschberger (1997), ”Survival Analysis, Techniques for Censored and Truncated Data”, Springer...
  • eha

  • Referenced in 8 articles [sw06775]
  • presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical ... statistics. A much-needed primer, Event History Analysis with R is a didactically excellent resource ... practitioners of applied event history and survival analysis...
  • Muhaz

  • Referenced in 9 articles [sw14703]
  • package muhaz: Hazard Function Estimation in Survival Analysis. A package for producing a smooth estimate...
  • discSurv

  • Referenced in 4 articles [sw15815]
  • package discSurv: Discrete Time Survival Analysis. Provides data transformations, estimation utilities, predictive evaluation measures ... simulation functions for discrete time survival analysis...
  • Tick

  • Referenced in 6 articles [sw26586]
  • tools for generalized linear models and survival analysis. The core of the library...
  • pec

  • Referenced in 5 articles [sw15816]
  • Curves for Risk Prediction Models in Survival Analysis. Validation of risk predictions obtained from survival...
  • bsa

  • Referenced in 5 articles [sw26370]
  • Display of Changing Posterior in Bayesian Survival Analysis: The Software. We consider the problem...
  • lmomco

  • Referenced in 5 articles [sw14732]
  • useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics...
  • Survival Kit

  • Referenced in 3 articles [sw24155]
  • FORTRAN package for the analysis of survival data. The Survival Kit is primarily intended ... estimate random effects. Methods of survival analysis have primarily been developed in the area ... animal breeders, the programs of the Survival Kit could be interesting for people from other ... command language. The models supported by the Survival Kit belong to the group of univariate...
  • GBMCI

  • Referenced in 2 articles [sw11476]
  • gradient boosting algorithm for survival analysis via direct optimization of concordance index. Survival analysis focuses ... statistical models have been proposed for survival analysis. They often impose strong assumptions on hazard ... propose a nonparametric model for survival analysis that does not explicitly assume particular forms ... most widely used metrics in survival model performance evaluation. We implemented our model...
  • pammtools

  • Referenced in 2 articles [sw34835]
  • Exponential Additive Mixed Modeling Tools for Survival Analysis. The Piece-wise exponential (Additive Mixed) Model ... powerful model class for the analysis of survival (or time-to-event) data, based ... /biostatistics/kxy003>. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation...