High-Level Interface for Survival Analysis and Associated Plots
Multivariate analysis (Cox Regression)
Univariate survival analysis
Turns a coxph result to a data frame
Create a grid of forest plots
Forest plots for survival analysis.
Formats a SurvivalAnalysisMultivariateResult for printing
Formats a SurvivalAnalysisUnivariateResult for printing
Build a gtable representation from a ggsurvplot object
Grid layouting
Ordering function: identity order
Display multiple survival curves within the same Kaplan Meier plot
A grid of kaplan meier plots
Kaplan Meier plots from survival results.
Turns a multivariate analysis result to a data frame
Access individual components of multivariate survival analysis
Access individual components of univariate survival analysis
Print the essentials of a SurvivalAnalySurvivalAnalysisMultivariateRes...
Print the essentials of a SurvivalAnalysisUnivariateResult
Extract results from univariate survival analysis structured as data f...
Convenience formatting and printing of result
Compute survival rates by KM estimate for given time points for an uni...
Write survival rates for one or multiple survival analysis results in ...
Print the essentials of a SurvivalAnalysisUnivariateResult.
A high-level interface to perform survival analysis, including Kaplan-Meier analysis and log-rank tests and Cox regression. Aims at providing a clear and elegant syntax, support for use in a pipeline, structured output and plotting. Builds upon the 'survminer' package for Kaplan-Meier plots and provides a customizable implementation for forest plots. Kaplan & Meier (1958) <doi:10.1080/01621459.1958.10501452> Cox (1972) Journal of the Royal Statistical Society. Series B (Methodological), Vol. 34, No. 2 (1972), pp. 187-220 (34 pages) Peto & Peto (1972) <doi:10.2307/2344317>.