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Non-parametric Survival Techniques with Improved WeightBy M. Ramadurai, M.A. Ghouse Basha
Abstract: Generally, in most of the studies all the subjects could not attain the event of interest within the time period, which results in censoring, also sometimes leads to the situation of heavy censoring. In the case of heavy censoring, the conventional Kaplan-Meier estimator overestimates the survival function. To overcome this, a new weight is designed by accounting the length of the survival time and censoring rate for each time interval …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 3, 2018 · pp. 19–29 Read article →