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Modified weighted Kaplan-Meier estimator.

Author(s)
Mohammad Shafiq Department of Statistics, University of Peshawar, Peshawar, Pakistan
Shuhrat Shah Department of Statistics, University of Peshawar, Peshawar, Pakistan
Alamgir Department of Statistics, University of Peshawar, Peshawar, Pakistan
Abstract
In many medical studies majority of the study subjects don not reach to the event of interest during the study period. In such situations survival probabilities can be estimated for censored observation by Kaplan Meier estimator. However in case of heavy censoring these estimates are biased and over estimate the survival probabilities. For heavy censoring a new method was proposed (Bahrawar Jan, 2005) to estimate the survival probabilities by weighting the censored observations by non-censoring rate. But the main defect in this weighted method is that it gives zero weight to the least censored observation. To over come this difficulty a new weight is proposed which also gives a non-zero weight to the last censored observation.
Publication Details
Page(s) 39-44
DOI DOI not available
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 3, Issue: 1, Year: 2007

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