ReviewCurrent environmental health reports2019
Multiple Imputation for Incomplete Data in Environmental Epidemiology Research.
Review in Current environmental health reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk prediction models for frailty in stroke patients: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Nontargeted screening identifies mixtures of environmental pollutants that are associated with perturbations to amino acid and fatty acid metabolic pathways during early pregnancy.Environment international · 2026Article
- Ability of the DHAM Score to Predict 5-Year All-Cause Mortality in Patients With Diabetes and Comorbid Hypertension: Validation and Risk Stratification in Two Prospective Cohorts.Journal of diabetes research · 2026Article
- Health-related quality of life and cost-of-illness in young people seeking peer support at @ease: A Dutch burden of disease study.PloS one · 2026Article
- The Individual and Combined Effects of Prenatal Micronutrient Supplementations on Neurobehavioral Developmental Disorders in Preschool Children.Children (Basel, Switzerland) · 2025Article
- Association between micronutrient supplementation during pregnancy and preterm birth: evidence from a large-scale children survey and Mendelian randomization study.Frontiers in public health · 2025Article
- The effects of early childhood probiotic intake on the association between prenatal micronutrient supplementation and neurobehavioral development in preschool children: a four-way decomposition analysis.Frontiers in nutrition · 2025Article
- Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China.BMC pregnancy and childbirth · 2024Article
- Environmental chemical exposures and a machine learning-based model for predicting hypertension in NHANES 2003-2016.BMC cardiovascular disorders · 2024Article
- The use of imputation in clinical decision support systems: a cardiovascular risk management pilot vignette study among clinicians.European heart journal. Digital health · 2024Article
- Article
- Navigating the bridge between wet and dry lab toxicology research to address current challenges with high-dimensional data.Frontiers in toxicology · 2023Article
- First Trimester of Pregnancy as the Sensitive Period for the Association between Prenatal Mosquito Coil Smoke Exposure and Preterm Birth.International journal of environmental research and public health · 2022Article
- Levels of Vitamin D and Expression of the Vitamin D Receptor in Relation to Breast Cancer Risk and Survival.Nutrients · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewIncomplete data are a common problem in statistical analysis of environmental epidemiological research. However, many researchers still ignore this complication. We evaluate the performance of two commonly used multiple imputation (MI) methods (fully conditional specification and multivariate normal) for handling missing data and compare them to complete case analysis (CCA) method. We further discuss issues that arise when these methods are being used. RECENT
findingsMI is a simulation-based approach to deal with incomplete data. In general, MI will perform better then ad hoc techniques such as CCA. MI is an approach which replaces the missing data with plausible values and allows for additional uncertainty due to the missing information caused by the incomplete data. To illustrate this, we use data of 944 women from the Collaborative Perinatal Project and compare estimates between these methods. The goal is to examine if each of two outcomes, birth-weight and spontaneous abortion, in the data set are associated with mothers' smoking status during pregnancy adjusting for baseline covariates in the model. Results indicate that MI is better suited for handling incomplete data and led to a significant improvement in parameter estimates compared to CCA. The two MI methods produced similar point estimates, but slightly different standard errors.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.