skiTum: Simulated data mimicking a skin cancer chemoprevention trial
In jun-yan/spef: Semiparametric Estimating Functions

Description Usage Format References Examples

A data frame contains data on the recurrence of skin tumor. This simulated data is created for illustrative purpose and it mimic the Skin Cancer Chemoprevention Trial used in Chiou et al. (2017). This data set contains records of 100 simulated patients.

skiTum

This data frame contains the following columns:

id: : patient id (repeated for each recurrence)
time: : observation time
age: : patient's age at enrollment; age = 1 if greater than 65, age = 0 otherwise
male: : gender; male = 1, female = 0
dfmo: : treatment (DFMO) group = 1; placebo = 0
priorTumor: : number of prior tumor from diagnosis to randomization
count: : number of new tumors since last observation time

Chiou, S., Xu, G., Yan, J., and Huang, C.-Y. (2017). Semiparametric estimation of the accelerated means model with panel count data with informative examination times. unpublished manuscript

data(skiTum)
library(ggplot2)
skiTum$dfmo <- factor(skiTum$dfmo, levels = c(1, 0), labels = c("placebo", "DFMO"))
ggplot(skiTum, aes(time, id, height = 2, width = 25)) +
    geom_tile(aes(fill = count)) + theme_bw() +
    facet_grid(dfmo ~ ., scales = "free_y") + 
    scale_fill_gradient(low = "grey", high = "black") + labs(fill="Count") +
    scale_x_continuous(breaks = seq(0, 1800, 100)) + xlab("Time in days")