1995
DOI: 10.2307/2291134
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Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data

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Cited by 446 publications
(583 citation statements)
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“…The median duration of breastfeeding in Malawi is 23 months and only few children were still breast-fed beyond our follow-up duration [24]. A strength of our study is that we adjusted our estimates for HIV transmission to take into account unobserved HIV test results from children lost to follow-up or not tested, and that we thus could estimate the cumulative incidence of HIV infection for all children enrolled in the PMTCT programme [19,20]. Our study also has several limitations.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The median duration of breastfeeding in Malawi is 23 months and only few children were still breast-fed beyond our follow-up duration [24]. A strength of our study is that we adjusted our estimates for HIV transmission to take into account unobserved HIV test results from children lost to follow-up or not tested, and that we thus could estimate the cumulative incidence of HIV infection for all children enrolled in the PMTCT programme [19,20]. Our study also has several limitations.…”
Section: Discussionmentioning
confidence: 99%
“…We used inverse probability of censoring weighting to account for HIV infections that would have been observed if all children who enrolled were retained in care and tested according to the guidelines [19,20]. In the weighted analysis, children who were not tested were represented by children who had similar characteristics and were tested.…”
Section: Methodsmentioning
confidence: 99%
“…Stratification, regression or matching can be used for such purpose. In our analysis, we adopt the Double-Robust (DR) estimator (Bang and Robins, 2005;Robins, Rotnitzky and Zhao, 1995;Lunceford and Davidian, 2004) as defined in the implementation of Emsley et al (2008).…”
Section: Methodsmentioning
confidence: 99%
“…For all analyses, p<.05 was considered significant. In intention-to-treat analyses, change over time was assessed with generalized linear models with inference based on generalized estimating equations (GEEs) (32). To test the assumption that data were missing completely at random (MCAR), logistic modeling was performed to determine whether missing assessment data depended on individual patients’ observed responses in previous assessments (Table 2).…”
Section: Methodsmentioning
confidence: 99%