A coninion testing problem for a life table or survival date is to test the equality of two survival distributions when the data is both grouped end censored. Several tests have been proposed in the literature which require various assumptions about the censoring distributions. It is shown that if t
A Likelihood Ratio Test of the Equality of Paired Survival Data with Censoring
β Scribed by Prof. R. G. Knapp; Dr. A. J. Gross; Dr. A. B. Cantor
- Publisher
- John Wiley and Sons
- Year
- 1986
- Tongue
- English
- Weight
- 328 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
A test ia developed to determine whether the mean survival times are equal when dealing with paired survival dafe.
We meume the data follow a bivariata exponential distribution for which the variables are conditionally independent. The unconditional distribution is derived in which the distribution of the nuimnce variable is general.
A method baaed on the likelihood ratio is derived to obtain the test. The data 8re allowed to have both left and right censoring.
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## Abstract The exact generalization of GEHAN's (1965) twoβsample test for arbitrarily censored survival data has been overlooked by subsequent work on the multisample problem. We give this general covariance matrix and show how it may be used in test procedures. While this permutation test is less
## Abstract The pairedβ__t__, sign, and signed rank tests were compared for samples from a bivariate exponential distribution. Each is a valid Ξ±βlevel test. One test was not uniformly more powerful than the others for all sample sizes, Ξ± levels, correlations, and alternative hypotheses considered,