The literature on inference from the resulting incomplete data is now huge, and continues to grow both as methods are developed for large a... (展开全部) 我来说两句 短评 ··· 热门 / 最新 / 好友 还没人写过短评呢 我要写书评 Multiple Imputation and Its Application的书评 ··· ( ...
doi:10.1002/bimj.201300188No abstract is available for this article.Michael O'KellyBiometrical Journal
Multiple Imputation and its Application, by James R. Carpenter and Michael G. Kenward, provides an excellent review of multiple imputation (MI) from basic to advanced concepts. MI is a statistical method for analyzing incomplete data. The flexibility of the MI procedure has prompted its use in...
In this review, application of multiple imputations, as a novel technique for handling missing data in health and epidemiological research, is briefly discussed.Mir Mohammadkhani, MajidHolakouie Naieni, KouroshJournal of School of Public Health & Institute of Public Health Research...
Multiple Imputation And Its Application A practical guide to analysing partially observed data. Collecting, analysing and drawing inferences from data is central to research in the medical and so... Carpenter JR,Kenward MG - John Wiley & Sons, 被引量: 524发表: 2012年 Survival Analysis Using ...
We used four methods to investigate the influence of respectively sampling and imputation variation: MI only, bootstrap only, and two methods that combine MI and bootstrapping. Variables were selected based on the inclusion frequency of each prognostic variable, i.e. the proportion of times that...
The MVP summary statistics were obtained via an approved dbGaP application (phs001672.v4.p1). For details on the MVP, seehttps://www.research.va.gov/mvp/and ref. 76. This research is based on data from the MVP, Office of Research and Development, Veterans Health Administration, and wa...
But the standard PCA and MANOVA require that all values be present for the phenotypes. Fortunately, there are methods available to get around the problem of missing data, for example imputation. So we can predict and fill in missing values before implementing any method to analyse the multi-...
A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS. Am. J. Hum. Genet. 101, 37–49 (2017). Article CAS PubMed PubMed Central Google Scholar Zhou, W. et al. Efficiently controlling for case-control imbalance and sample relatedness in large-scale ...
Financial well-being in an urban area: An application of multiple imputation. Applied Economics, 41, 2955-2964.D. A. Penn. Estimating missing values from the general social survey: An application of multiple imputation. Social Science Quarterly, 88(2):573-584, 2007....