controllers
发表于 2025-3-21 18:36:30
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hypnogram
发表于 2025-3-21 22:43:03
2199-7357 ls in R with supplementary R code and data sets.Discusses thThis book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros
RADE
发表于 2025-3-22 03:06:25
Untersuchungsdesign und Methodik,d with simple examples. In addition, conditions are given for analysing data sets without the need to explicitly model the missing data mechanism (“ignorability”). We also review diagnostic tools for incomplete data sets, both descriptive and based on a statistical test.
碌碌之人
发表于 2025-3-22 07:46:07
Untersuchungsdesign und Methodik,ve practical advice which procedure might be suited best in a given scenario because valid inferences in applied research can only be expected based on informed decisions. A conclusion of this chapter will be that there is not the one method or technique that works best under every possible scenario.
limber
发表于 2025-3-22 12:00:15
Untersuchungsdesign und Methodik,modeling approach, where only univariate marginal models are used to generate imputations. Additional topics are rounding, how to deal with restrictions and how to treat interaction or higher polynomial terms.
FLAGR
发表于 2025-3-22 13:33:53
Missing Data Mechanism and Ignorability,d with simple examples. In addition, conditions are given for analysing data sets without the need to explicitly model the missing data mechanism (“ignorability”). We also review diagnostic tools for incomplete data sets, both descriptive and based on a statistical test.
legitimate
发表于 2025-3-22 19:10:30
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AVID
发表于 2025-3-23 00:31:13
Multiple Imputation: Theory,modeling approach, where only univariate marginal models are used to generate imputations. Additional topics are rounding, how to deal with restrictions and how to treat interaction or higher polynomial terms.
苍白
发表于 2025-3-23 02:01:14
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沙漠
发表于 2025-3-23 06:08:31
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