Name
Abstract | ||
|---|---|---|
We propose logrank-type tests for comparing several survival functions from interval-censored data. The proposed tests do not require use of the so-called EM algorithm because we introduce uniform weights that depend only on the size of the risk set at each observed time instead of the weights involving estimated survivals. This technique reduces computation time. As alternatives for the estimated asymptotic variance of a proposed test statistic, we introduce estimates that mimic the logrank test and the multiple imputation method. Results from simulation studies show that our proposed tests are very satisfactory in terms of size and powers. We illustrate the proposed tests with breast cosmesis data from Finkelstein and Wolfe [1985. Biometrics 41, 933-945] and lung cancer post-operative data from the Yonsei Cancer Center in Korea. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.csda.2005.06.014 | Computational Statistics & Data Analysis |
Keywords | Field | DocType |
lung cancer post-operative data,proposed test statistic,estimated asymptotic variance,computation time,interval-censored data,survival curve,logrank-type test,estimated survival,logrank test,breast cosmesis data,proposed test,em algorithm,survival function,asymptotic variance,multiple imputation,score test | Econometrics,Score test,Survival function,Log-rank test,Test statistic,Expectation–maximization algorithm,Algorithm,Imputation (statistics),Statistics,Censoring (statistics),Delta method,Mathematics | Journal |
Volume | Issue | ISSN |
50 | 11 | Computational Statistics and Data Analysis |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinheum Kim | 1 | 23 | 2.09 |
| Dae Ryong Kang | 2 | 14 | 1.02 |
| Chung Mo Nam | 3 | 17 | 1.46 |