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Should a Normal Imputation Model be Modified to Impute Skewed Variables?

https://doi.org/10.1177/0049124112464866
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Multiple Imputation for Nonresponse in Surveys
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Robustness of a multivariate normal approximation for imputation of incomplete binary data
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A Note on the Transformation of Chi-Squared Variables to Normality
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Ridge Regression: Biased Estimation for Nonorthogonal Problems
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Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
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Regression with Missing X 's: A Review
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Multiple imputation using multivariateghtransformations
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On the Performance of Sequential Regression Multiple Imputation Methods with Non Normal Error Distributions
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Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: a simulation assessment
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Pathways to Power: The Role of Political Parties in Women’s National Political Representation
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Inference and missing data
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4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data
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8. How to Impute Interactions, Squares, and other Transformed Variables
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Imputing continuous data under some non‐Gaussian distributions
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A Review of Hot Deck Imputation for Survey Non‐response
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An Analysis of Transformations
inferredcites →https://doi.org/10.1177/0049124100028003003openalex-snapshot
Multiple Imputation for Missing Data
inferredcites →https://doi.org/10.1177/0049124189018002004openalex-snapshot
The Analysis of Social Science Data with Missing Values
inferredcites →https://doi.org/10.1177/0962280206075304openalex-snapshot
Multiple imputation: current perspectives
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A Potential for Bias When Rounding in Multiple Imputation
inferredcites →https://doi.org/10.1198/000313006x126819openalex-snapshot
Tukey'sghDistribution for Multiple Imputation
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Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective
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Finite sample properties of multiple imputation estimators
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The Theory of Unbiased Estimation
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Maximum Likelihood Estimates for a Multivariate Normal Distribution when Some Observations are Missing
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Missing Data
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An application of Multiple Imputation under the Two Generalized Parametric Families

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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