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201. Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies
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203. Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies
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204. Nonparametric Statistical Methods Using R (Chapman & Hall/Crc Texts in Statistical Science)
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206. Multilevel Modeling Using R
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207. Multivariate Statistical Methods
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208. Multivariate Statistical Methods
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209. Multivariate Data Integration Using R: Methods and Applications With the Mixomics Package (Chapman & Hall/Crc Computational Biology Series)
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210. Multivariate Statistical Methods: A Primer
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211. Nonparametric Statistical Methods Using R
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212. Nonparametric Statistical Methods Using R (Chapman & Hall/Crc Texts in Statistical Science)
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214. Multivariate Statistical Methods
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215. Introduction to Classifier Performance Analysis With R
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216. Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies
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217. Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies
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