SkinCancerChemo_df: Simulated Data from Skin Cancer Chemoprevention Trial

In OncoDataSets: A Comprehensive Collection of Cancer Types and Cancer-Related Datasets

Simulated Data from Skin Cancer Chemoprevention Trial

Description

This dataset, SkinCancerChemo_df, is a data frame containing simulated data mimicking the Skin Cancer Chemoprevention Trial as used in Chiou et al. (2017). It records tumor recurrence in patients who were part of the trial, which includes information on patient demographics, prior tumors, and the treatment they received. The dataset consists of 894 observations with 7 variables.

Usage

data(SkinCancerChemo_df)

Format

A data frame with 894 observations and 7 variables:

id

Patient ID (numeric).

time

Time to event or censoring (numeric).

count

Number of tumor recurrences (numeric).

age

Age of the patient at the start of the trial (numeric).

male

Gender of the patient (1 = male, 0 = female) (numeric).

dfmo

Indicates whether the patient received DFMO treatment (1 = yes, 0 = no) (numeric).

priorTumor

Number of prior tumors before the trial (numeric).

Details

The dataset name has been kept as 'SkinCancerChemo_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the OncoDataSets package and assists users in identifying its specific characteristics. The suffix '_df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the spef package. This simulated dataset is based on the study by Chiou et al. (2017): *Marginal and conditional cumulative incidence functions in the presence of dependent censoring*. Biometrics, 73(2), 385–394.

OncoDataSets documentation built on April 3, 2025, 6:08 p.m.