Titlebook: Applied Multiple Imputation; Advantages, Pitfalls Kristian Kleinke,Jost Reinecke,Martin Spiess Textbook 2020 Springer Nature Switzerland AG

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Untersuchungsdesign und Methodik, nonresponse, unit nonresponse and attrition, and review the most common statistical approaches to inference from samples to populations. Missing data patterns (univariate, monotone, arbitrary) are described as far as they are relevant for choosing an appropriate technique to compensate for missing

流浪者

Untersuchungsdesign und Methodik,t random (MAR) or missing not at random (MNAR) is introduced. Consequences of different possible missing data mechanisms are considered and illustrated with simple examples. In addition, conditions are given for analysing data sets without the need to explicitly model the missing data mechanism (“ig

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Untersuchungsdesign und Methodik,ed on monotone and non-monotone missing patterns, the approach based on joint modeling of all variables with missing values and the fully conditional modeling approach, where only univariate marginal models are used to generate imputations. Additional topics are rounding, how to deal with restrictio

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Kristian Kleinke,Jost Reinecke,Martin SpiessProvides an introduction to missing data and multiple imputation for students and applied researchers.Features numerous step-by-step tutorials in R with supplementary R code and data sets.Discusses th

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Statistics for Social and Behavioral Scienceshttp://image.papertrans.cn/a/image/159973.jpg

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