A note on an inverse-probability-weighted approach to the estimation ofsuccessive duration times under left-truncation and right-censoring
碩士 === 東海大學 === 統計學系 === 95 === In incident cohort studies, survival data often include subjects who have had an initiate event at recruitment and may potentially experience two successive events (first and second) during the follow-up period. Since the second duration process becomes observable onl...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/62707185219329536096 |
| Summary: | 碩士 === 東海大學 === 統計學系 === 95 === In incident cohort studies, survival data often include subjects who have had an initiate
event at recruitment and may potentially experience two successive events (first and second)
during the follow-up period. Since the second duration process becomes observable only
if the second event has occurred, left-truncation and dependent censoring arise if the two
duration times are correlated. To confront the two potential sampling biases, Chang and
Tzeng (2006) provided an inverse-probability-weighted (IPW) approach for estimating the
joint probability function of successive duration times. In this note, an alternative IPW
approach is proposed and shown to be equivalent to the estimator of Chang and Tzeng
(2006). A simulation study is conducted to investigate the IPW estimator.
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