ArticleAnnals of translational medicine2016
Missing data imputation: focusing on single imputation.
Article in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers, 3 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
186 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review.BMC medical research methodology · 2020Pooled it
- Thyroid-stimulating hormone levels in the normal range and incident type 2 diabetes mellitus.Acta diabetologica · 2019Pooled it
- Differences in maternal smoking across successive pregnancies - dose-dependent relation to BMI z-score in the offspring: an individual patient data (IPD) meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2018Pooled it
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- Development and validation of prognostic nomogram for cirrhotic patients with acute kidney injury upon ICU admission.Internal and emergency medicine · 2024Trial
- Training of vertical versus horizontal reading in patients with hemianopia - a randomized and controlled study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021Trial
- Article
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- Optimizing In-Hospital Mortality Prediction After Cardiac Surgery: A Machine Learning Approach Using Feature Engineering for Imbalanced Data.Diagnostics (Basel, Switzerland) · 2026Article
- Implementation Outcomes of Low Threshold Care for Persons with Opioid Use Disorders.Journal of general internal medicine · 2026Article
- [Perioperative hyperglycemia predicts poorer prognosis of esophageal squamous cell carcinoma patients treated with esophagectomy].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Integration of Machine Learning Techniques in ECG-Based Multiclass Arrhythmia Classification with Explainability Analysis.Biosensors · 2026Article
- Irregularity in Daily Activities Predicts Depression via Reduced Perceived Control: A Daily Diary Study.Journal of clinical psychology · 2026Article
- Predictive triage for testing may improve control of a COVID-19 epidemic while reducing testing requirements.Archives of public health = Archives belges de sante publique · 2026Article
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- Development of a questionnaire to assess the medication literacy of patients receiving oral anticancer drugs.Scientific reports · 2026Article
- Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).The American journal of gastroenterology · 2026Article
126 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complete case analysis is widely used for handling missing data, and it is the default method in many statistical packages. However, this method may introduce bias and some useful information will be omitted from analysis. Therefore, many imputation methods are developed to make gap end. The present article focuses on single imputation. Imputations with mean, median and mode are simple but, like complete case analysis, can introduce bias on mean and deviation. Furthermore, they ignore relationship with other variables. Regression imputation can preserve relationship between missing values and other variables. There are many sophisticated methods exist to handle missing values in longitudinal data. This article focuses primarily on how to implement R code to perform single imputation, while avoiding complex mathematical calculations.
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Registered trials
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