skinTumor: 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. The original data is available in Table A.3. of Sun and Zhao (2013). This dataset contains records of 290 patients.

skinTumor

This data frame contains the following columns:

id: : patient id (repeated for each recurrence)
time: : observation time
age: : patient's age at enrollment
male: : gender; male = 1, female = 0
dfmo: : treatment (DFMO) group = 1; placebo = 0
priorTumor: : number of prior tumor from diagnosis to randomization
countBC: : number of newly developed basal cell carcinomas tumors since last observation time
countSC: : number of newly developed squamous cell carcinomas tumors since last observation time
count: : number of newly developed non-melanoma tumors since last observation time; this is equal to countBC + countSC

Chiou, S., Xu, G., Yan, J., and Huang, C.-Y. (2017). Semiparametric estimation of the accelerated mean model with panel count data under informative examination times. Biometrics, to appear. <doi: 10.1111/biom.12840>.

Sun, J. and Zhao, X. (2013). Statistical Analysis of Panel Count Data. New York: Springer.

data(skinTumor)
library(ggplot2)
ggplot(skinTumor, aes(time, id, width = 25, height = 2)) +
    geom_tile(aes(fill = count)) + theme_bw() +
    facet_grid(dfmo ~ ., scales = "free_y", as.table = FALSE,
               labeller = labeller(dfmo = function(x) paste("DFMO =", x))) + 
    scale_fill_gradient(low = "grey", high = "black") +
    scale_x_continuous(breaks = seq(0, 2000, 200)) +
    labs(fill = "Count") + xlab("Time in days")