survivalAdPaik: Compute the Conditional Survival Function

In TimeDepFrail: Time Dependent Shared Frailty Cox Model

Compute the Conditional Survival Function

Description

Computes the conditional survival function based on the 'Adapted Paik et al.' model's given the estimated coefficients and frailty effects.

Usage

survivalAdPaik(result)

Arguments

result

S3 object of class 'AdPaik' containing model results.

Value

A dataset where each row corresponds to an individual unit in the dataset, and the columns represent the survival function values over time interval, with the first column indicating the cluster to which the individual belongs.

Examples

# Import data
data(data_dropout)

# Define the variables needed for the model execution
eps_paik <- 1e-10
categories_range_min <- c(-8, -2, eps_paik, eps_paik, eps_paik)
categories_range_max <- c(-eps_paik, 0.4, 1 - eps_paik, 1, 10)
time_axis <- c(1.0, 1.4, 1.8, 2.3, 3.1, 3.8, 4.3, 5.0, 5.5, 5.8, 6.0)
formula <- time_to_event ~ Gender + CFUP + cluster(group)

# Call the main model function

result <- AdPaikModel(formula, data_dropout, time_axis, categories_range_min, categories_range_max)

survivalAdPaik(result)
   

TimeDepFrail documentation built on April 11, 2025, 5:41 p.m.