A Potential for Bias When Rounding in Multiple Imputation
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Implications of discrimination based on sexuality, gender, and race/ethnicity for psychological distress among working-class sexual minorities: the United for Health Study, 2003-2004A comparison of incomplete-data methods for categorical data.Longitudinal quality of life data: a comparison of continuous and ordinal approaches.Simulation-based study comparing multiple imputation methods for non-monotone missing ordinal data in longitudinal settings.A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables.Multiple imputation of discrete and continuous data by fully conditional specification.Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation studyComparison of methods for imputing limited-range variables: a simulation study.Imputation strategies for missing binary outcomes in cluster randomized trials.Random-covariances and mixed-effects models for imputing multivariate multilevel continuous data.Comparison of methods for imputing ordinal data using multivariate normal imputation: a case study of non-linear effects in a large cohort study.Iron status and reproduction in US women: National Health and Nutrition Examination Survey, 1999-2006.Egalitarianism, Housework, and Sexual Frequency in MarriageQuantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials.Evaluating model-based imputation methods for missing covariates in regression models with interactions.Handling Missing Values in Longitudinal Panel Data With Multiple Imputation.Gaussian-based routines to impute categorical variables in health surveys.A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experiments.The HCUP SID Imputation Project: Improving Statistical Inferences for Health Disparities Research by Imputing Missing Race Data.Discrimination, family relationships, and major depression among Asian Americans.Swiss medical centres vary significantly when it comes to outcomes of neonates with a very low gestational age.Faculty Motivation to Mentor Students Through Undergraduate Research Programs: A Study of Enabling and Constraining Factors.Great Expectations: HIV Risk Behaviors and Misperceptions of Low HIV Risk among Incarcerated Men.Forced Displacement From Rental Housing: Prevalence and Neighborhood Consequences.Provider cultural competency, client satisfaction, and engagement in home-based programs to treat child abuse and neglect.Multiple imputation with non-additively related variables: Joint-modeling and approximations.Bias in a binary risk behaviour model subject to inconsistent reports and dropout in a South African high school cohort study.Multiple Imputation in Two-Stage Cluster Samples Using The Weighted Finite Population Bayesian Bootstrap.The Role of Racial Identity and Implicit Racial Bias in Self-Reported Racial Discrimination: Implications for Depression Among African American Men.Comparison of several multiple imputation strategies for repeated measures analysis of clinical scales: to truncate or not to?The Missing Dimension of the Political Resource Curse DebateRounding non-binary categorical variables following multivariate normal imputation: evaluation of simple methods and implications for practiceBias Introduced by Rounding in Multiple Imputation for Ordered Categorical VariablesDiscreteness Causes Bias in Percentage-Based Comparisons: A Case Study From Educational TestingThe conundrum of social class: Disparities in publishing among STEM students in undergraduate research programs at a Hispanic majority institution
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P2860
A Potential for Bias When Rounding in Multiple Imputation
description
article
@en
im November 2003 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в листопаді 2003
@uk
name
A Potential for Bias When Rounding in Multiple Imputation
@en
A Potential for Bias When Rounding in Multiple Imputation
@nl
type
label
A Potential for Bias When Rounding in Multiple Imputation
@en
A Potential for Bias When Rounding in Multiple Imputation
@nl
prefLabel
A Potential for Bias When Rounding in Multiple Imputation
@en
A Potential for Bias When Rounding in Multiple Imputation
@nl
P356
P1476
A Potential for Bias When Rounding in Multiple Imputation
@en
P2093
Michael Parzen
Nicholas J Horton
P304
P356
10.1198/0003130032314
P407
P577
2003-11-01T00:00:00Z