ArticleEmerging themes in epidemiology2017
Model checking in multiple imputation: an overview and case study.
Article in Emerging themes in epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed.
- Testing two digital stress-management interventions in a randomized controlled trial of breast cancer patients.Scientific reports · 2025Trial
- Moderators of the cost-effectiveness of transdiagnostic CBT for anxiety disorders over an 8-month time horizon using a net-benefit regression framework.BMC health services research · 2023Trial
- Factors affecting inter-individual variability in endoxifen concentrations in patients with breast cancer: results from the prospective TOTAM trial.Breast cancer research and treatment · 2022Trial
- Augmentation therapy with minocycline in treatment-resistant depression patients with low-grade peripheral inflammation: results from a double-blind randomised clinical trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Trial
- Irritable bowel syndrome and suicide risk among adolescents: a prospective cohort study.The Lancet regional health. Western Pacific · 2026Article
- Accurate prediction of mortality in children with sepsis: development and validation of an explainable model based on real-world data.Italian journal of pediatrics · 2026Article
- Long COVID longitudinal symptoms burden clusters within a national community-based cohort.BMC infectious diseases · 2026Article
- Integrated epidemiological and molecular data inform the relationship between precancer and cancer states of esophageal adenocarcinoma.Nature medicine · 2026Article
- Performance of clinical prediction models for chronic kidney disease among people with diabetes: external validation using the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).Diagnostic and prognostic research · 2025Article
- Long COVID Longitudinal Symptoms Burden Clusters Within A National Community-Based Cohort.medRxiv : the preprint server for health sciences · 2025Article
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- Incorporating Multiple Imputation Into Tanezumab Dose-Response Modeling of WOMAC Pain CFB Across Six Randomized Placebo-Controlled Phase 3 Trials.CPT: pharmacometrics & systems pharmacology · 2025Article
- Multiple imputation for systematically missing effect modifiers in individual participant data meta-analysis.Statistical methods in medical research · 2025Article
- A Multiple Imputation Workflow for Handling Missing Covariate Data in Pharmacometrics Modeling.CPT: pharmacometrics & systems pharmacology · 2025Article
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- Evaluation of imputation strategies for multi-centre studies: Application to a large clinical pathology dataset.PloS one · 2025Article
- Association between breastfeeding duration and educational attainment in rural Southwest Uganda: a population-based cohort study.Global health action · 2024Article
- Septic Shock Requiring Three Vasopressors: Patient Demographics and Outcomes.Critical care explorations · 2024Article
- The roles of dating and victimization on adverse mental health among teens: Survey findings during the COVID-19 pandemic.Journal of adolescence · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple imputation has become very popular as a general-purpose method for handling missing data. The validity of multiple-imputation-based analyses relies on the use of an appropriate model to impute the missing values. Despite the widespread use of multiple imputation, there are few guidelines available for checking imputation models. ANALYSIS: In this paper, we provide an overview of currently available methods for checking imputation models. These include graphical checks and numerical summaries, as well as simulation-based methods such as posterior predictive checking. These model checking techniques are illustrated using an analysis affected by missing data from the Longitudinal Study of Australian Children.
conclusionsAs multiple imputation becomes further established as a standard approach for handling missing data, it will become increasingly important that researchers employ appropriate model checking approaches to ensure that reliable results are obtained when using this method.
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