--- title: "CompAREdesign: Simulations" author: "Jordi Cortés Martínez, Marta Bofill Roig and Guadalupe Gómez Melis" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Simulations} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r setup, include=FALSE, echo=FALSE} library('CompAREdesign') # Load library knitr::opts_chunk$set(echo = TRUE) # Show code ``` ## Simulations ```{r} ## Probabilities of observing the event in control arm during follow-up p0_e1 <- 0.59 # Death p0_e2 <- 0.74 # Disease Progression ## Effect size (Cause specific hazard ratios) for each endpoint HR_e1 <- 0.91 # Death HR_e2 <- 0.77 # Disease Progression ## Hazard rates over time beta_e1 <- 2 # Death --> Increasing risk over time beta_e2 <- 1 # Disease Progression --> Constant risk over time ## Correlation rho <- 0.1 # Correlation between components rho_type <- 'Spearman' # Type of correlation measure copula <- 'Frank' # Copula used to get the joint distribution ## Additional parameter case <- 3 # 1: No deaths; 2: Death is the secondary event; # 3: Death is the primary event; 4: Both events are death by different causes ## Sample size sample_size <- 100 ## Effect size for each endpoint eff_e1 <- -0.0196 eff_e2 <- -0.0098 ``` ### Simulation of composite time-to-event endpoints ```{r} simulation_timetoevent<- simula_tte(p0_e1, p0_e2, HR_e1, HR_e2, beta_e1 = 1, beta_e2 = 1, case, copula = "Frank", rho = 0.3, rho_type = "Spearman", followup_time = 1, sample_size) ``` ```{r} head(simulation_timetoevent) ``` ```{r, echo = FALSE} rm(list = ls()) ```