RealSurvSim (version 1.0.0)

dats: Collection of Survival Datasets (dats)

Description

dats is a collection of seven survival datasets used for testing and simulation of survival data. These datasets were reconstructed from published Kaplan-Meier survival curves using the widely applied algorithm by Guyot et al. (2012). The datasets were originally sourced from various clinical studies and digitized using WebPlotDigitizer. They are used as benchmarks for synthetic survival data methods, including kernel density estimation, parametric distribution fitting, and bootstrap resampling.

Usage

data(dats)

Format

A list containing 7 data frames. Each data frame includes:

V1

Time to event (numeric).

V2

Event indicator (0 = censored, 1 = event; numeric).

V3

Group identifier (numeric or categorical).

The datasets in dats are:

• Liang: Derived from Liang et al. (2019).

• Spigel: Derived from Spigel et al. (2022).

• Wu: Derived from Wu et al. (2015).

• Wei: Derived from Wei et al. (2020).

• Lima: Derived from Lima et al. (2018).

• Yoshioka: Derived from Yoshioka et al. (2019).

• Seto: Derived from Seto et al. (2020).

Examples

data(dats)
names(dats)
head(dats$Liang)