碩士 / 逢甲大學 / 統計與精算所 / 100 / This article considers the categorical response variable with missing covariate that is missing at random (MAR).We propose two kinds of Multiple Imputations(MI) estimate parameter in multiple logistic regression are based on the conditional empirical distribution from Wang and Chen(2009),and compare with four different estimate methods:Complete-Case Estimator (CC),Weighted Estimator (WE),Regression Calibration (RC) and Mutiple Imputation by Chained Equations (MICE).We compare their results through simulations using various values of the sample size and missing rate.The methods are illustrated using data from the high blood pressure studay in Changhua.
| Identifer | oai:union.ndltd.org:TW/100FCU05336015 |
| Date | January 2012 |
| Creators | Yu-Ting Huang, 黃鈺婷 |
| Contributors | none, 李燊銘 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 36 |
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