• 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...
  • ggfortify

  • Referenced in 4 articles [sw20802]
  • package ggfortify: Data Visualization Tools for Statistical Analysis Results. Unified plotting tools for statistics commonly ... time series, PCA families, clustering and survival analysis. The package offers a single plotting interface...
  • 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...
  • relsurv

  • Referenced in 3 articles [sw14711]
  • Relative Survival. Various functions for relative survival analysis...
  • CPE

  • Referenced in 2 articles [sw16164]
  • package CPE: Concordance Probability Estimates in Survival Analysis. Functions to calculate concordance probability estimates ... survival analysis...
  • prodlim

  • Referenced in 3 articles [sw24651]
  • nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method...
  • icensBKL

  • Referenced in 3 articles [sw31582]
  • datasets and several smaller functions suitable for analysis of interval-censored data. The package complements ... book Bogaerts, Komárek and Lesaffre (2017). ”Survival Analysis with Interval-Censored Data: A Practical Approach...
  • Pomelo II

  • Referenced in 3 articles [sw35617]
  • based, freely available tool for the analysis of gene (and protein) expression and tissue array ... comparisons (t-test, ANOVA) and regression; survival analysis using Cox model; contingency table analysis with...
  • GSVA

  • Referenced in 3 articles [sw17293]
  • this challenge, we introduce Gene Set Variation Analysis (GSVA), a GSE method that estimates variation ... utility in differential pathway activity and survival analysis. Lastly, we show how GSVA works analogously...
  • Statistix

  • Referenced in 3 articles [sw17939]
  • nonparametric tests, time series, association tests, survival analysis, quality control, power analysis, and more...
  • ahw

  • Referenced in 3 articles [sw33865]
  • consistently, paving the way for causal survival analysis...
  • GuideR

  • Referenced in 3 articles [sw30224]
  • suitable for classification, regression, and survival analysis problems. The effectiveness of the algorithm...
  • SmoothHR

  • Referenced in 3 articles [sw11464]
  • using spline smoothing methods in survival analysis, there is currently no analytical method...
  • stgenreg

  • Referenced in 2 articles [sw24058]
  • Stata Package for General Parametric Survival Analysis. In this paper we present the Stata package ... stgenreg for the parametric analysis of survival data. Any user-defined hazard function...
  • KyPlot

  • Referenced in 2 articles [sw00496]
  • canonical correlation analysis) and for survival analysis...
  • scikit-survival

  • Referenced in 1 article [sw37193]
  • survival is a Python module for survival analysis built on top of scikit-learn ... allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing ... doing cross-validation. The objective in survival analysis (also referred to as time-to-event ... time of an event. What makes survival analysis differ from traditional machine learning...
  • riskRegression

  • Referenced in 2 articles [sw19175]
  • Regression Models and Prediction Scores for Survival Analysis with Competing Risks. Implementation of the following ... methods for event history analysis. Risk regression models for survival endpoints also in the presence...
  • marked

  • Referenced in 4 articles [sw14404]
  • marked: Mark-Recapture Analysis for Survival and Abundance Estimation. Functions for fitting various models...
  • ASURV

  • Referenced in 1 article [sw35613]
  • ASURV: Astronomy SURVival analysis. This contains source code and documentation for ASURV, Astronomy SURVival analysis ... suite of statistical methods for the analysis of censored data; i.e. data which are known ... that are often omitted from commercial survival analysis packages...