Methods to improve the estimation of time ‐to‐event outcomes when data is de‐identified
This study investigates five methods intended to reduce the bias of time‐to‐event estimates. A simulation s tudy was conducted to evaluate the effectiveness of each method in reducing bias. In situations where there was a large number of censored patients, the results of the simulation showed that Method 4 yielded the most accurate estimates. This method adjusted the survival times of censored patients by adding a random uniform component such that the modified survival time would occur within the final year of the study. Alternatively, when there was only a small number of censored patients, the method that did not alter the de‐identified data set (Method 1) provided the most accurate estimates.
Source: Statistics in Medicine - Category: Statistics Authors: Samantha ‐Jo Caetano,
David Dawe,
Peter Ellis,
Craig C. Earle,
Gregory R. Pond Tags: RESEARCH ARTICLE Source Type: research