Estimation of finite population duration distributions from longitudinal survey panels with intermittent followup
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Publication:746473
DOI10.1007/S10985-012-9241-5zbMath1322.62022OpenAlexW2008333663WikidataQ85843766 ScholiaQ85843766MaRDI QIDQ746473
Publication date: 16 October 2015
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10012/11012
inverse probability weightsdropoutloss to followupspell durationssurvival distributionsweighted Kaplan-Meier estimates
Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Censored data models (62N01)
Cites Work
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- Product-limit survival functions with correlated survival times
- Assessing the impact of initial nonresponse and attrition in the analysis of unemployment duration with panel surveys
- Duration analysis in longitudinal studies with intermittent observation times and losses to followup
- Inference and missing data
- Estimation of the failure time distribution in the presence of informative censoring
- A Marginal Model for Analyzing Discrete Outcomes From Longitudinal Surveys With Outcomes Subject to Multiple-Cause Nonresponse
- Locally Efficient Estimation of a Multivariate Survival Function in Longitudinal Studies
- Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
- Maximum Likelihood Estimation of Misspecified Models
- Estimating the marginal survival function in the presence of time dependent covariates
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