Melano: Example data: Malignant Melanoma Data

In tdROC: Nonparametric Estimation of Time-Dependent ROC, Brier Score, and Survival Difference from Right Censored Time-to-Event Data with or without Competing Risks

Example data: Malignant Melanoma Data

Description

This example dataset is included for illustration. The Melano data is publicly available. In 1962-1977, 205 patients with malignant melanoma (skin cancer) had a radical operation performed at an academic medical center. At the end of the follow-up, 57 died from cancer, 14 died from other causes, and the other 134 patients were alive (censored). This example dataset illustrates the prediction accuracy of competing risk outcomes with baseline age and tumor thickness.

Usage

data(Melano)

Format

A data frame with 312 observations and 4 variables: time (event time/censoring), time), censor (censoring mayoscore4, mayoscore5. The two scores are derived from 4 and 5 covariates respectively.

References

Andersen, P. K. , & Skovgaard, L. T. (2010). Regression with linear predictors. New York, NY: Springer.

Examples

data(Melano)
head(Melano)

tdROC documentation built on May 29, 2024, 3:47 a.m.