Cited by 2,022Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo MethodsData Analysis with R

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Flexible Imputation of Missing Data

van Buuren, Stef·2012·Chapman & Hall/CRC eBooks

Open this paper in CoChat — free account

Abstract

Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science-multiple imputation-fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which a

Integrity signals

Registry

Crossref · 10.1201/b11826

Cites

0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The publisher hasn’t deposited this paper’s reference list.

Sorted by citations

Items 501–600 of 1,002

Elevated teenage conception risk amongst looked after children; a national audit
Craine, N., Midgley, C., Zou, L., et al. (2014) · Public Health · doi:10.1016/j.puhe.2014.05.008 · Cited by 32
Handling Missing Data in Matched Case-Control Studies Using Multiple Imputation
Seaman, S. R., & Keogh, R. H. (2015) · Biometrics · doi:10.1111/biom.12358 · Cited by 32
Microaggressions, Injustices, and Racial Identity
Isom, D. A. (2015) · Journal of Contemporary Criminal Justice · doi:10.1177/1043986215607253 · Cited by 37
Propensity Score Analysis in R
Keller, B., & Tipton, E. (2016) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998616631744 · Cited by 32
Accounting for Parcel-Allocation Variability in Practice: Combining Sources of Uncertainty and Choosing the Number of Allocations
Sterba, S. K., & Rights, J. D. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2016.1144502 · Cited by 33
A Comparison of Joint Model and Fully Conditional Specification Imputation for Multilevel Missing Data
Mistler, S. A., & Enders, C. K. (2017) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998617690869 · Cited by 31
Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review
Chen, S., & Haziza, D. (2018) · International Statistical Review · doi:10.1111/insr.12305 · Cited by 32
Satellite data and machine learning tools for predicting poverty in rural India
Subash, S., Kumar, R. R., & Aditya, K. S. (2018) · Agricultural Economics Research Review · doi:10.5958/0974-0279.2018.00040.x · Cited by 33
Holistic care program for elderly patients to integrate spiritual needs, social activity, and self-care into disease management in primary care (HoPES3): study protocol for a cluster-randomized trial
Straßner, C., Frick, E., Stotz-Ingenlath, G., Buhlinger-Göpfarth, N., Szécsényi, J., Krisam, J., Schalhorn, F., Valentini, J., Stolz, R., & Joos, S. (2019) · Trials · doi:10.1186/s13063-019-3435-z · Cited by 42
On the use of surrogate models in engineering design optimization and exploration
Palar, P. S., Liem, R. P., Zuhal, L. R., et al. (2019) · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · doi:10.1145/3319619.3326813 · Cited by 32
Long-term prognosis after kidney donation: a propensity score matched comparison of living donors and non-donors from two population cohorts
Janki, S., Dehghan, A., van de Wetering, J., Steyerberg, E. W., Klop, K. W. J., Kimenai, H. J. A. N., Rizopoulos, D., Hoorn, E. J., Stracke, S., Weimar, W. W., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00647-y · Cited by 32
Racial and geographic variation in effects of maternal education and neighborhood-level measures of socioeconomic status on gestational age at birth: Findings from the ECHO cohorts
Dunlop, A. L., Essalmi, A. G., Alvalos, L., Breton, C. V., Camargo, C. A., Cowell, W., Dabelea, D., Dager, S. R., Duarte, C. S., Elliott, A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245064 · Cited by 37
Financial risk assessment in shipping: a holistic machine learning based methodology
Clintworth, M., Lyridis, D. V., & Boulougouris, E. K. (2021) · Maritime Economics & Logistics · doi:10.1057/s41278-020-00183-2 · Cited by 33
Anxiety and depressive symptoms in adolescents and young adults with epilepsy: The role of illness beliefs and social factors
Engel, M. L., Shanley, R., Scal, P. B., & Kunin‐Batson, A. (2021) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2020.107737 · Cited by 33
Plant functional and taxonomic diversity in European grasslands along climatic gradients
Boonman, C. C. F., Santini, L., Robroek, B. J. M., Hoeks, S., Kelderman, S., Dengler, J., Bergamini, A., Biurrun, I., Carranza, M. L., Cerabolini, B. E. L., et al. (2021) · Journal of Vegetation Science · doi:10.1111/jvs.13027 · Cited by 31
Generalized linear models
Buckley, Y. M. (2015) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199672547.003.0007 · Cited by 37
The effectiveness of a proactive coping intervention targeting self-management in diabetes patients
Kroese, F. M., Adriaanse, M. A., Vinkers, C. D. W., van de Schoot, R., & de Ridder, D. T. D. (2013) · Psychology and Health · doi:10.1080/08870446.2013.841911 · Cited by 36
Effectiveness of pulmonary rehabilitation for patients with asthma: study protocol of a randomized controlled trial (EPRA)
Schultz, K., Seidl, H., Jelusic, D., Wagner, R., Wittmann, M., Faller, H., Nowak, D., & Schüler, M. (2017) · BMC Pulmonary Medicine · doi:10.1186/s12890-017-0389-3 · Cited by 32
Influence of Data Distribution in Missing Data Imputation
Santos, M. S., Soares, J. P., Abreu, P. H., et al. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59758-4_33 · Cited by 32
Kids Safe and Smokefree (KiSS) Multilevel Intervention to Reduce Child Tobacco Smoke Exposure: Long-Term Results of a Randomized Controlled Trial
Lepore, S. J., Collins, B. N., Coffman, D. L., Winickoff, J. P., Nair, U. S., Moughan, B., Bryant-Stephens, T. C., Taylor, D. R., Fleece, D. M., & Godfrey, M. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15061239 · Cited by 33
Missing Data
Little, T. D., Lang, K. M., Wu, W., & Rhemtulla, M. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy117 · Cited by 32
Cost-effectiveness and cost-utility of an Acceptance and Commitment Therapy intervention vs. a Cognitive Behavioral Therapy intervention for older adults with anxiety symptoms: A randomized controlled trial
Witlox, M., Kraaij, V., Garnefski, N., Bohlmeijer, E., Smit, F., & Spinhoven, P. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262220 · Cited by 31
Counterfactual scenarios reveal historical impact of cropland management on soil organic carbon stocks in the United States
Ogle, S. M., Breidt, F. J., Grosso, S. J. D., Gurung, R., Marx, E., Spencer, S., Williams, S., & Manning, D. T. (2023) · Scientific Reports · doi:10.1038/s41598-023-41307-x · Cited by 33
“With the regional trending information, an artificial neural network 60 was used to identify likely N inputs at NRI survey locations within each CEAP region, and final N inputs for synthetic fertilization and manure amendments were assigned using a predictive mean matching method 61, 62 .”
Method
Variable selection models based on multiple imputation with an application for predicting median effective dose and maximum effect
Wan, Y., Datta, S., Conklin, D. J., et al. (2014) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2014.907801 · Cited by 31
Who are Rural Students? How Definitions of Rurality Affect Research on College Completion
Manly, C. A., Wells, R. S., & Kommers, S. (2019) · Research in Higher Education · doi:10.1007/s11162-019-09556-w · Cited by 31
The Self-(un)Identification of Disability in Higher Education
Aquino, K. C., & Bittinger, J. D. (2019) · The Journal of Postsecondary Education and Disability · Cited by 31
Effects of long-term antipsychotics treatment on body weight: A population-based cohort study
Bazo‐Alvarez, J. C., Morris, T. P., Carpenter, J. R., Hayes, J., & Petersen, I. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881119885918 · Cited by 32
“We assumed weight records were missing at random within strata, conditional on observed weights, so that modelling the observed data over time provides unbiased estimates (van Buuren, 2012).”
Method
Ancestry Estimation Using Cranial and Postcranial Macromorphoscopic Traits
Spiros, M. C., & Hefner, J. T. (2019) · Journal of Forensic Sciences · doi:10.1111/1556-4029.14231 · Cited by 35
Standardized Regression Coefficients and Newly Proposed Estimators for R 2 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${R}^{{2}}$$\end{document} in Multiply Imputed Data
van Ginkel, J. R. (2020) · Psychometrika · doi:10.1007/s11336-020-09696-4 · Cited by 31
Long-term BMI change trajectories in Chinese adults and its association with the hazard of type 2 diabetes: evidence from a 20-year China Health and Nutrition Survey
Mi, B., Wu, C., Gao, X., Wu, W., Du, J., Zhao, Y., Wang, D., Dang, S., & Yan, H. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000879 · Cited by 31
Does Facilitated and Early Access to the Healthcare System Improve Refugees’ Health Outcomes? Evidence from a Natural Experiment in Germany
Jaschke, P., & Kosyakova, Y. (2021) · International Migration Review · doi:10.1177/0197918320980413 · Cited by 33
Predict Health Insurance Cost by using Machine Learning and DNN Regression Models
Hanafy, M., & Mahmoud, O. M. (2021) · International Journal of Innovative Technology and Exploring Engineering · doi:10.35940/ijitee.c8364.0110321 · Cited by 31
With(Out) a Little Help From My Friends? Reconciling Incongruous Findings on Stakeholder Management, Innovation, and Firm Performance
Haefner, N., Palmié, M., & Leppänen, P. T. (2021) · Entrepreneurship Theory and Practice · doi:10.1177/10422587211024497 · Cited by 34
Neurobiological Factors as Predictors of Prisoners’ Response to a Cognitive Skills Training
Cornet, L. J. M., van der Laan, P. H., Nijman, H., Tollenaar, N., & de Kogel, C. D. (2015) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2015.02.003 · Cited by 29
“Therefore, we decided to impute missing values with a multiple imputation (MI) technique (Rubin, 1987; Van Buuren, 2012).”
Measurement model choice influenced randomized controlled trial results
Gorter, R., Fox, J., Apeldoorn, A. T., & Twisk, J. W. R. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.06.011 · Cited by 31
Trajectory of Improvement in Children and Adolescents With Chronic Migraine: Results From the Cognitive-Behavioral Therapy and Amitriptyline Trial
Kroner, J. W., Peugh, J., Kashikar‐Zuck, S., LeCates, S. L., Allen, J. R., Slater, S. K., Zafar, M., Kabbouche, M. A., O’Brien, H. L., Shenk, C. E., et al. (2017) · Journal of Pain · doi:10.1016/j.jpain.2017.01.002 · Cited by 31
Bullying and negative appearance feedback among adolescents: Is it objective or misperceived weight that matters?
Lee, K., Dale, J. R., Guy, A., & Dieter Wolke, C. (2017) · Journal of Adolescence · doi:10.1016/j.adolescence.2017.12.008 · Cited by 32
Modularization in an Era of Mobile Web: Investigating the Effects of Cutting a Survey Into Smaller Pieces on Data Quality
Toepoel, V., & Lugtig, P. (2022) · Social Science Computer Review · doi:10.1177/0894439318784882 · Cited by 30
Relations among spatial skills, number line estimation, and exact and approximate calculation in young children
Gunderson, E. A., & Hildebrand, L. L. (2021) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2021.105251 · Cited by 29
Centre characteristics and procedure‐related factors have an impact on outcomes of allogeneic transplantation for patients with CLL : a retrospective analysis from the European Society for Blood and Marrow Transplantation ( EBMT )
Schetelig, J., de Wreede, L. C., Andersen, N. S., Moreno, C., van Gelder, M., Vı́tek, A., Karas, M., Michallet, M., Machaczka, M., Gramatzki, M., et al. (2017) · British Journal of Haematology · doi:10.1111/bjh.14791 · Cited by 30
Predictive value of long-term changes of growth differentiation factor-15 over a 27-year-period for heart failure and death due to coronary heart disease
Fluschnik, N., Ojeda, F., Zeller, T., Jørgensen, T., Kuulasmaa, K., Becher, P. M., Sinning, C., Blankenberg, S., & Westermann, D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197497 · Cited by 30
Improved discrimination between normal‐tension and primary open‐angle glaucoma with advanced vascular examinations – the Leuven Eye Study
Barbosa‐Breda, J., Keer, K. V., Pinto, L. A., et al. (2018) · Acta Ophthalmologica · doi:10.1111/aos.13809 · Cited by 30
Added value of frailty and social support in predicting risk of 30-day unplanned re-admission or death for patients with heart failure: An analysis from OPERA-HF
Sokoreli, I., Cleland, J. G. F., Pauws, S. C., Steyerberg, E. W., de Vries, J. J. G., Riistama, J. M., Dobbs, K., Bulemfu, J., & Clark, A. L. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.12.030 · Cited by 31
An industrial missing values processing method based on generating model
Wang, H., Yuan, Z., Chen, Y., Shen, B., & Wu, A. (2019) · Computer Networks · doi:10.1016/j.comnet.2019.02.007 · Cited by 30
Functional status‐based risk–benefit analyses of high‐ KDPI kidney transplant versus dialysis
Bui, K., Kilambi, V., & Mehrotra, S. (2019) · Transplant International · doi:10.1111/tri.13483 · Cited by 30
Development and external validation of a prediction model for survival in patients with resected ampullary adenocarcinoma
Moekotte, A. L., van Roessel, S. R., Malleo, G., Rajak, R., Ecker, B. L., Fontana, M., Han, H., Rabie, M., Roberts, K. J., Khalil, K., et al. (2020) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2020.04.011 · Cited by 28
Recent quantitative research on determinants of health in high income countries: A scoping review
Varbanova, V., & Beutels, P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239031 · Cited by 34
Activated factor VII–antithrombin complex predicts mortality in patients with stable coronary artery disease: a cohort study
Martinelli, N., Girelli, D., Baroni, M., Guarini, P., Sandri, M. F., Lunghi, B., Tosi, F., Branchini, A., Sartori, F. G., Woodhams, B. J., et al. (2016) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.13274 · Cited by 30
Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach
Leke, C. A., & Marwala, T. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-41000-5_26 · Cited by 30
Enhancing Precision in Large-Scale Data Analysis: An Innovative Robust Imputation Algorithm for Managing Outliers and Missing Values
Templ, M. (2023) · Mathematics · doi:10.3390/math11122729 · Cited by 29
A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis
Jahangiri, M., Kazemnejad, A., Goldfeld, K. S., DANESHPOUR, M. S., Mostafaei, S., Khalili, D., Moghaddas, M. R., & Akbarzadeh, M. (2023) · BMC Medical Research Methodology · doi:10.1186/s12874-023-01968-8 · Cited by 30
The relationships among fear of hypoglycaemia, diabetes-related quality of life and psychological well-being in Norwegian adults with Type 1 diabetes
Strandberg, R. B., Graue, M., Wentzel‐Larsen, T., Peyrot, M. F., Wahl, A. K., & Rokne, B. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.12.018 · Cited by 29
Patient education-level affects treatment allocation and prognosis in esophageal- and gastroesophageal junctional cancer in Sweden
Linder, G., Sandin, F., Johansson, J., et al. (2018) · Cancer Epidemiology · doi:10.1016/j.canep.2017.12.008 · Cited by 29
A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values
Ngouna, R. H., Ratolojanahary, R., Medjaher, K., Dauriac, F., Sébilo, M., & Junca-Bourié, J. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2020.103822 · Cited by 29
Psychosocial and peripartum determinants of postpartum depression: Findings from a prospective population-based cohort. The ABCD study
Walker, A. L., de Rooij, S. R., Dimitrova, M., Witteveen, A. B., Verhoeven, C. J. M., de Jonge, A., Vrijkotte, T. G. M., & Henrichs, J. (2021) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2021.152239 · Cited by 37
Comparison of Missing Data Infilling Mechanisms for Recovering a Real-World Single Station Streamflow Observation
Baddoo, T. D., Li, Z., Odai, S. N., Boni, K. R. C., Nooni, I. K., & Andam‐Akorful, S. A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168375 · Cited by 32
The Associations of Common Psychological Problems With Mental Disorders Among College Students
Cuijpers, P. J., Smit, F., Aalten, P., Batelaan, N. M., Klein, A. M., Salemink, E., Spinhoven, P., Struijs, S. Y., Vonk, P., Wiers, R. W. H. J., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.573637 · Cited by 43
Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study
Wang, J., Wang, S., Zhu, M. X., Yang, T., Yin, Q., & Hou, Y. (2022) · JMIR Medical Informatics · doi:10.2196/33395 · Cited by 31
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion
Li, B.-Z., Zhao, X.-L., Zhang, X., et al. (2023) · SIAM Journal on Imaging Sciences · doi:10.1137/22m1531907 · Cited by 29
Prostate cancer: net survival and cause-specific survival rates after multiple imputation
Morisot, A., Bessaoud, F., Landais, P., Rébillard, X., Trétarre, B., & Daurès, J. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0048-4 · Cited by 30
Varenicline for Smoking Cessation in Light Smokers
Ebbert, J. O., Croghan, I. T., Hurt, R. T., Schroeder, D. R., & Hays, J. T. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw123 · Cited by 30
Improving prediction models with new markers: a comparison of updating strategies
Nieboer, D., Vergouwe, Y., Ankerst, D. P., Roobol, M. J., & Steyerberg, E. W. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0231-2 · Cited by 30
Prenatal loss of father during World War One is predictive of a reduced lifespan in adulthood
Todd, N., Valleron, A., & Bougneres, P. F. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617911114 · Cited by 31
Imputation of Mixed Data With Multilevel Singular Value Decomposition
Husson, F., Josse, J., Narasimhan, B., & Robin, G. (2019) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2019.1585261 · Cited by 29
“…missMDA (Josse and Husson, 2016); 4. imputation with iterative conditional random eﬀects regression models as implemented in the R package mice (van Buuren, 2012); 5. imputation by a joint model based on random eﬀects models as implemented in the R package jomo (Quartagno and Carpenter,…”
Method
Development of a stratification tool to identify pancreatic intraductal papillary mucinous neoplasms at lowest risk of progression
Overbeek, K. A., Alblas, M., Gausman, V., Kandel, P., Schweber, A. B., Brooks, C., van Riet, P. A., Wallace, M. B., Gonda, T. A., Cahen, D. L., et al. (2019) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.15440 · Cited by 28
Gender commonalities and differences in risk and protective factors of suicidal thoughts and behaviors: A cross‐sectional study of Spanish university students
Miranda-Mendizábal, A., Castellví, P., Alayo, I., Vilagut, G., Blasco, M. J., Torrent, A., Ballester, L., Almenara, J., Lagares, C., Roca, M., et al. (2019) · Depression and Anxiety · doi:10.1002/da.22960 · Cited by 33
“Pooled estimates from multiple imputations and MI‐based standard errors taking into account within imputation and between imputation variances were obtained (Van Buuren, 2012).”
Updating Poverty Estimates at Frequent Intervals in the Absence of Consumption Data: Methods and Illustration with Reference to a Middle-Income Country
Lanjouw, P., Dang, H.-A. H., & Serajuddin, U. (2014) · doi:10.1596/1813-9450-7043 · Cited by 28
Analyzing weight loss intervention studies with missing data: Which methods should be used?
Batterham, M. J., Tapsell, L. C., & Charlton, K. E. (2013) · Nutrition · doi:10.1016/j.nut.2013.01.017 · Cited by 28
A Three-Year Randomized Controlled Trial in 6-Year-Old Children on Caries-Preventive Strategies in a General Dental Practice in the Netherlands
Vermaire, J. H., Poorterman, J. H. G., van Herwijnen, L., & van Loveren, C. (2014) · Caries Research · doi:10.1159/000358342 · Cited by 27
Leventhal’s common-sense model and asthma control: Do illness representations predict success of an asthma rehabilitation?
Achstetter, L. I., Schultz, K., Faller, H., & Schüler, M. (2016) · Journal of Health Psychology · doi:10.1177/1359105316651332 · Cited by 28
Strategies for handling missing data in longitudinal studies with questionnaires
Nooraee, N., Molenberghs, G., Ormel, J., & van den Heuvel, E. R. (2018) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2018.1520854 · Cited by 32
Generosity pays: Selfish people have fewer children and earn less money.
Eriksson, K., Vartanova, I., Strimling, P., & Simpson, B. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000213 · Cited by 27
Multiple Imputation Using Gaussian Copulas
Hollenbach, F. M., Bojinov, I., Minhas, S., Metternich, N. W., Ward, M. D., & Volfovsky, A. (2018) · Sociological Methods & Research · doi:10.1177/0049124118799381 · Cited by 57
“One such approach is developed in MICE (Van Buuren 2012), another was developed as the MI package in R (Goodrich et al. 2012).”
BackgroundMethodInfluential
COMPARE Family (Children of Mentally Ill Parents at Risk Evaluation): A Study Protocol for a Preventive Intervention for Children of Mentally Ill Parents (Triple P, Evidence-Based Program That Enhances Parentings Skills, in Addition to Gold-Standard CBT With the Mentally Ill Parent) in a Multicenter RCT—Part II
Stracke, M., Gilbert, K., Kieser, M., Klose, C., Krisam, J., Ebert, D. D., Buntrock, C., & Christiansen, H. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00054 · Cited by 30
Gender Differences in the Violence Exposure Types That Predict PTSD and Depression in Adolescents
Schwartz, B., Kaminer, D., Hardy, A., Nöthling, J., & Seedat, S. (2019) · Journal of Interpersonal Violence · doi:10.1177/0886260519849691 · Cited by 28
“Furthermore, the efficiency of complete case analysis declines when both the predictor set and the outcome variable in a regression model contain missing values (Van Buuren, 2012), which was the case in the current study.”
Local traditional foods contribute to diversity and species richness of rural women’s diet in Ecuador
Peñafiel, D., Cevallos-Valdiviezo, H., Espinel, R., & Damme, P. V. (2019) · Public Health Nutrition · doi:10.1017/s136898001900226x · Cited by 30
Perinatal factors related to pregnancy and childbirth satisfaction: a prospective cohort study
Lemmens, S. M. P., van Montfort, P., Meertens, L. J. E., Spaanderman, M. E. A., Smits, L. J. M., Vries, R. G. D., & Scheepers, H. C. J. (2020) · Journal of Psychosomatic Obstetrics & Gynecology · doi:10.1080/0167482x.2019.1708894 · Cited by 28
Statistical Guidelines for Handling Missing Data in Traumatic Brain Injury Clinical Research
Nielson, J. L., Cooper, S. R., Seabury, S. A., Luciani, D., Fabio, A., Temkin, N. R., Ferguson, A. R., the TRACK-TBI Investigators, Adeoye, O. M., Badjatia, N., et al. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2019.6702 · Cited by 30
Home-visiting interventions for families with complex and multiple problems: A systematic review and meta-analysis of out-of-home placement and child outcomes
van Assen, A., Knot‐Dickscheit, J., Post, W. J., & Grietens, H. W. E. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.104994 · Cited by 28
Social and behavioral determinants of indoor temperatures in air-conditioned homes
Wright, M. K., Hondula, D. M., Chakalian, P. M., Kurtz, L. C., Watkins, L., Gronlund, C. J., Larsen, L. S., Mallen, E. S., & Harlan, S. L. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.107187 · Cited by 29
Peripheral artery disease, lower limb revascularization, and amputation in diabetes patients with and without coronary artery disease: a cohort study from the Western Denmark Heart Registry
Olesen, K. K. W., Gyldenkerne, C., Thim, T., Thomsen, R. W., & Mæng, M. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001803 · Cited by 32
Cannabinoid exposure as a major driver of pediatric acute lymphoid Leukaemia rates across the USA: combined geospatial, multiple imputation and causal inference study
Reece, A. S., & Hulse, G. K. (2021) · BMC Cancer · doi:10.1186/s12885-021-08598-7 · Cited by 28
Combining simple blood tests to identify primary care patients with unexpected weight loss for cancer investigation: Clinical risk score development, internal validation, and net benefit analysis
Nicholson, B. D., Aveyard, P. N., Koshiaris, C., Perera, R., Hamilton, W. T., Oke, J. L., & Hobbs, R. F. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003728 · Cited by 28
Long-Term Effects of Acceptance and Rejection by Parents and Peers on Educational Attainment: A Study from Pre-Adolescence to Early Adulthood
Lorijn, S. J., Engels, M. C., Huisman, M., & Veenstra, R. (2022) · Journal of Youth and Adolescence · doi:10.1007/s10964-021-01506-z · Cited by 28
Do Open-Science Badges Increase Trust in Scientists Among Undergraduates, Scientists, and the Public?
Schneider, J. M., Rosman, T., Kelava, A., & Merk, S. (2022) · Psychological Science · doi:10.1177/09567976221097499 · Cited by 46
Infant Parasympathetic and Sympathetic Activity during Baseline, Stress and Recovery: Interactions with Prenatal Adversity Predict Physical Aggression in Toddlerhood
Suurland, J., van der Heijden, K. B., Huijbregts, S. C. J., van Goozen, S. H. M., & Swaab, H. (2017) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-017-0337-y · Cited by 33
“A total of 10 imputed datasets were generated using MICE (Van Buuren 2012) in R, version 3.3.2.”
MethodInfluential
Use of an mHealth Intervention to Improve Engagement in HIV Community-Based Care Among Persons Recently Released from a Correctional Facility in Washington, DC: A Pilot Study
Kuo, I. C., Liu, T., Patrick, R., Trezza, C., Bazerman, L. B., Castonguay, B. J. U., Peterson, J. A., Kurth, A., & Beckwith, C. G. (2019) · AIDS and Behavior · doi:10.1007/s10461-018-02389-1 · Cited by 28
Supervisor behaviour and its associations with employees’ health in Europe
Montaño, D. (2015) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-015-1072-8 · Cited by 28
Data fusion with international large scale assessments: a case study using the OECD PISA and TALIS surveys
Kaplan, D. E., & Turner, A. (2013) · Large-scale Assessments in Education · doi:10.1186/2196-0739-1-6 · Cited by 28
“An overview of imputations via chained equations can be found in van Buuren (2012).”
Method
Household-level disparities in cancer risks from vehicular air pollution in Miami
Collins, T. W., Grineski, S. E., & Chakraborty, J. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/9/095008 · Cited by 27
Biases in feature selection with missing data
Seijo-Pardo, B., Alonso‐Betanzos, A., Bennett, K. P., Bolón‐Canedo, V., Josse, J., Saeed, M., & Guyon, I. (2019) · Neurocomputing · doi:10.1016/j.neucom.2018.10.085 · Cited by 27
Bowel Outcome Prediction After Traumatic Spinal Cord Injury: Longitudinal Cohort Study
Pavese, C., Bachmann, L. M., Schubert, M. J. W., Curt, A. E. P., Mehnert, U., Schneider, M. P., Scivoletto, G., Agrò, E. F., Maier, D. D., Abel, R. F., et al. (2019) · Neurorehabilitation and neural repair · doi:10.1177/1545968319868722 · Cited by 27
Identifying predictors of teachers’ intention and willingness to teach about cancer by using direct and belief-based measures in the context of the theory of planned behaviour
Heuckmann, B., Hammann, M., & Asshoff, R. (2020) · International Journal of Science Education · doi:10.1080/09500693.2020.1717671 · Cited by 30
A novel weighted distance threshold method for handling medical missing values
Cheng, C., Chang, J., & Huang, H.-H. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103824 · Cited by 26
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations
Liu, A., Jie Lu, B., & Zhang, G. (2020) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2020.3016040 · Cited by 30
Risk factors and pattern of weight gain in youths using antipsychotic drugs
van der Esch, C. C. L., Kloosterboer, S. M., van der Ende, J., Reichart, C. G., Kouijzer, M. E. J., de Kroon, M. M. J., van Daalen, E., Ester, W. A., Rieken, R., Dieleman, G. C., et al. (2020) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-020-01614-4 · Cited by 27
Age at first alcohol use and weapon carrying among adolescents: Findings from the 2019 Youth Risk Behavior Survey
Baiden, P., Jahan, N., Onyeaka, H., Thrasher, S. S., Tadeo, S. K., & Findley, E. (2021) · SSM - Population Health · doi:10.1016/j.ssmph.2021.100820 · Cited by 29
Normalization and outlier removal in class center-based firefly algorithm for missing value imputation
Nugroho, H., Utama, N. P., & Surendro, K. (2021) · Journal Of Big Data · doi:10.1186/s40537-021-00518-7 · Cited by 30
Contemporary Analysis of Electronic Frailty Measurement in Older Adults with Multiple Myeloma Treated in the National US Veterans Affairs Healthcare System
DuMontier, C., Fillmore, N. R., Yildirim, C., et al. (2021) · Cancers · doi:10.3390/cancers13123053 · Cited by 27
Association of transportation noise with sleep during the first year of life: A longitudinal study
Blume, C., Schoch, S. F., Vienneau, D., Röösli, M., Kohler, M., Mœller, A., Kurth, S., & Usemann, J. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111776 · Cited by 27

Authors: van Buuren, S.
Venue: Chapman & Hall/CRC eBooks
Publisher: Chapman and Hall/CRC
Published: 2012-03-29
DOI: 10.1201/b11826
OpenAlex: W612972800
Cited by: 2,022
References: 0
Citations by year: 2026: 81 · 2025: 69 · 2024: 69 · 2023: 119 · 2022: 111 · 2021: 268 · 2020: 296 · 2019: 222 · 2018: 204 · 2017: 164 · 2016: 140 · 2015: 144 · 2014: 81 · 2013: 44 · 2012: 9
FWCI: 22.42
Type: book
Language: en
Open access: closed
Locations: Chapman & Hall/CRC eBooks (publishedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Markov Chains and Monte Carlo Methods
Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
Keywords: missing data, multiple imputation, uncertainty quantification, missing data imputation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Flexible Imputation of Missing Data

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks