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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99705

    Title: Analysis of Current Status Data with Missing Covariates
    Authors: Wen, Chi-Chung
    Contributors: 淡江大學數學學系
    Date: 2011-06-24
    Issue Date: 2014-12-11 09:31:21 (UTC+8)
    Abstract: Statistical inference based on right-censored data for the proportional hazards (PH) model with missing covariates has received considerable attention, but interval-censored or current status data with missing covariates has not yet been investigated. Our study is partly motivated by the analysis of fracture data from the 2005 National Health Interview Survey Original Database in Taiwan, where the occurrence of fractures was interval censored and the covariate osteoporosis was not reported for all residents. A semiparametric maximum likelihood method and an inverse probability weighted estimation procedure are proposed to analyze current status data with missing covariates. Simulation and real data analysis are included.
    DOI: 10.1111/j.1541-0420.2010.01505.x
    Appears in Collections:[Graduate Institute & Department of Mathematics] Proceeding

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