Abstract
A class of maximum weighted Kaplan-Meier test statistics is described where the weight functions are chosen from a family of smooth functions. The investigated test statistic is robust and sensitive to a variety of alternatives that are often observed in cancer prevention and screening trials. A simulation study is performed to compare the size and power properties between the proposed test statistics and some existing ones. We illustrate the procedure using data from a clinical trial of a breast cancer screening program.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 837-843 |
| Number of pages | 7 |
| Journal | Biometrics |
| Volume | 57 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2001 |
Keywords
- Log-rank test
- Maximum weighted Kaplan-Meier test
- Screening clinical trials
- Survival curve comparisons
ASJC Scopus subject areas
- Statistics and Probability
- General Biochemistry, Genetics and Molecular Biology
- General Immunology and Microbiology
- General Agricultural and Biological Sciences
- Applied Mathematics