A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome

DOI10.1177/0962280206074466zbMath1122.62334OpenAlexW1965973862WikidataQ40196067 ScholiaQ40196067MaRDI QIDQ5425043

Rumana Z. Omar, Gareth Ambler, Patrick Royston

Publication date: 7 November 2007

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/0962280206074466

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data ⋮ Missing data methods for arbitrary missingness with small samples ⋮ On the Performance of Sequential Regression Multiple Imputation Methods with Non Normal Error Distributions ⋮ A cautionary case study of approaches to the treatment of missing data

Uses Software

• Stata
• hotdeck

Cites Work

• Unnamed Item
• A new approach to estimate correlation coefficients in the presence of censoring and proportional hazards

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