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QUANTILE ESTIMATION OF TREATMENT EFFECT FOR THE 2-SAMPLE PROBLEM WITH RIGHT CENSORED-DATA
- Authors
- PARK, Hyo-il; Park, Sang-Gue
- Issue Date
- Aug-1995
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- TREATMENT EFFECT; KAPLAN-MEIER ESTIMATOR; QUANTILE FUNCTION; LOCATION SHIFT MODEL; TRUNCATED MEAN DIFFERENCE
- Citation
- STATISTICS & PROBABILITY LETTERS, v.24, no.2, pp 139 - 145
- Pages
- 7
- Journal Title
- STATISTICS & PROBABILITY LETTERS
- Volume
- 24
- Number
- 2
- Start Page
- 139
- End Page
- 145
- ISSN
- 0167-7152
1879-2103
- Abstract
- Estimating the treatment effect in the two-sample problem when some of the data are right censored is an important problem. Akritas (1986) and Meng et al. (1991) proposed estimators of the treatment effect under the location shift model using the fact that the median of the distribution of the difference of two independent random variables is the location shift. An estimator based on the quantile function is proposed and consistency and asymptotic normality of it are also presented.
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