4.5 Article

Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach

Related references

Note: Only part of the references are listed.
Article Public, Environmental & Occupational Health

Principled Approaches to Missing Data in Epidemiologic Studies

Neil J. Perkins et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2018)

Article Public, Environmental & Occupational Health

Missing data and multiple imputation in clinical epidemiological research

Alma B. Pedersen et al.

CLINICAL EPIDEMIOLOGY (2017)

Article Psychology, Applied

Missing Data: Five Practical Guidelines

Daniel A. Newman

ORGANIZATIONAL RESEARCH METHODS (2014)

Review Anesthesiology

The prevention and handling of the missing data

Hyun Kang

KOREAN JOURNAL OF ANESTHESIOLOGY (2013)

Article Medical Laboratory Technology

Interrater reliability: the kappa statistic

Mary L. McHugh

BIOCHEMIA MEDICA (2012)

Article Statistics & Probability

Multiple imputation in practice-a case study using a complex German establishment survey

Joerg Drechsler

ASTA-ADVANCES IN STATISTICAL ANALYSIS (2011)

Review Statistics & Probability

A Review of Hot Deck Imputation for Survey Non-response

Rebecca R. Andridge et al.

INTERNATIONAL STATISTICAL REVIEW (2010)

Article Mathematical & Computational Biology

Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values

Ian R. White et al.

STATISTICS IN MEDICINE (2010)

Article Computer Science, Interdisciplinary Applications

The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies

Laura K. Vaughan et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2009)

Article Medicine, General & Internal

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Jonathan A. C. Sterne et al.

BMJ-BRITISH MEDICAL JOURNAL (2009)

Article Mathematical & Computational Biology

A hot-deck multiple imputation procedure for gaps in longitudinal data on recurrent events

Roderick J. Little et al.

STATISTICS IN MEDICINE (2008)

Article Public, Environmental & Occupational Health

How many imputations are really needed? - Some practical clarifications of multiple imputation theory

John W. Graham et al.

PREVENTION SCIENCE (2007)

Review Health Care Sciences & Services

Review: A gentle introduction to imputation of missing values

A. Rogier T. Donders et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2006)