Multiple Imputation Analysis of Nested Case-Control and Case-Cohort Studies
نویسندگان
چکیده
منابع مشابه
Multiple imputation analysis of case-cohort studies.
The usual methods for analyzing case-cohort studies rely on sometimes not fully efficient weighted estimators. Multiple imputation might be a good alternative because it uses all the data available and approximates the maximum partial likelihood estimator. This method is based on the generation of several plausible complete data sets, taking into account uncertainty about missing values. When t...
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Although prospective logistic regression is the standard method of analysis for case-control data, it has been recently noted that in genetic epidemiologic studies one can use the "retrospective" likelihood to gain major power by incorporating various population genetics model assumptions such as Hardy-Weinberg-Equilibrium (HWE), gene-gene and gene-environment independence. In this article, we ...
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K. Ohneberg1,2; M. Wolkewitz1,2; J. Beyersmann3; M. Palomar-Martinez4,5; P. Olaechea-Astigarraga6; F. Alvarez-Lerma7; M. Schumacher1 1Institute for Medical Biometry and Statistics, Medical Center University of Freiburg, Freiburg, Germany; 2Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany; 3Institute of Statistics, Ulm University, Ulm, Germany; 4Hospital...
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Cohort and case-control methodologies are the main tools for analytical epidemiological research. Other important types of epidemiological studies mainly for generating hypotheses include cross-sectional and ecological, or correlation studies. The conclusions that can be drawn from findings of these types of studies are, however, much weaker compared to those of cohort and case-control studies....
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ژورنال
عنوان ژورنال: Japanese Journal of Biometrics
سال: 2013
ISSN: 0918-4430,2185-6494
DOI: 10.5691/jjb.33.101