Semiparametric isotonic regression analysis for risk assessment under nested case-control and case-cohort designs
نویسندگان
چکیده
منابع مشابه
Risk prediction measures for case-cohort and nested case-control designs: an application to cardiovascular disease.
Case-cohort and nested case-control designs are often used to select an appropriate subsample of individuals from prospective cohort studies. Despite the great attention that has been given to the calculation of association estimators, no formal methods have been described for estimating risk prediction measures from these 2 sampling designs. Using real data from the Swedish Twin Registry (2004...
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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...
متن کاملSemiparametric additive isotonic regression
Article history: Received 15 November 2007 Received in revised form 4 September 2008 Accepted 4 September 2008 Available online 5 October 2008
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BACKGROUND Sampling from a large cohort in order to derive a subsample that would be sufficient for statistical analysis is a frequently used method for handling large data sets in epidemiological studies with limited resources for exposure measurement. For clinical studies however, when interest is in the influence of a potential risk factor, cohort studies are often the first choice with all ...
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Case-cohort and nested case-control designs are often used to select an appropriate subsample of individuals from prospective cohort studies. Despite the great attention that has been given to the calculation of association estimators, no formal methods have been described for estimating risk prediction measures from these 2 sampling designs. Using real data from the Swedish Twin Registry (2004...
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ژورنال
عنوان ژورنال: Statistical Methods in Medical Research
سال: 2019
ISSN: 0962-2802,1477-0334
DOI: 10.1177/0962280219893389