library(dplyr)
library(ggplot2)
devtools::load_all()
load("../simulation/simu_qte_v6.Rdata")
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width=14,
  fig.height=14
)

Additional Simulation Results for Difference Censoring Proportion

We further evaluate the performance of the proposed method under different censoring proportion. All set up are the same as in simultion_v5.Rmd report except the intercept of the censoring distribution.

Missing data and censoring proportion

result_meta %>% subset(scenario != 4) %>% mutate_if(is.numeric, round, digits = 1) %>% show_db()

S1

s1

S2

s2

S3

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S4

s4


elong0527/qte documentation built on Jan. 19, 2021, 10:24 p.m.