Flexible Imputation of Missing Data

Association between γ marker, human leucocyte antigens and killer immunoglobulin‐like receptors and the natural course of human cytomegalovirus infection: a pilot study performed in a Sicilian population

Bona, D. D., Accardi, G., Aiello, A., Bilancia, M., Candore, G., Colomba, C., Caruso, C., Duro, G., Gambino, C. M., Macchia, L., et al. (2017) · Immunology · doi:10.1111/imm.12855 · Cited by 18

Development and external validation of a prediction rule for an unfavorable course of late-life depression: A multicenter cohort study

Maarsingh, O. R., Heymans, M. W., Verhaak, P. F. M., Penninx, B. W. J. H., & Comijs, H. C. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.04.026 · Cited by 19

Developing a risk prediction model for the functional outcome after hip arthroscopy

Stephan, P., Röling, M. A., Mathijssen, N. M. C., Hannink, G., & Bloem, R. M. (2018) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-018-2030-x · Cited by 18

Evaluation of six months sputum culture conversion as a surrogate endpoint in a multidrug resistant-tuberculosis trial

Meyvisch, P., Kambili, C., Andries, K., Lounis, N., Haxaire-Theeuwes, M., Dannemann, B. R., Vandebosch, A., der Elst, W. V., Molenberghs, G., & Alonso, A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200539 · Cited by 18

Unpacking the Racial Disparity in Crime from a Racialized General Strain Theory Perspective

Isom, D. A., & Grosholz, J. M. (2018) · Deviant Behavior · doi:10.1080/01639625.2018.1519127 · Cited by 18

Short and long-term change in subjective well-being among voluntary and involuntary retirees

Radó, M., & Boissonneault, M. (2018) · The Journal of the Economics of Ageing · doi:10.1016/j.jeoa.2018.11.003 · Cited by 18

An Approach to Addressing Multiple Imputation Model Uncertainty Using Bayesian Model Averaging

Kaplan, D. E., & Yavuz, S. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1657790 · Cited by 19

The effect of administrative form and stability on cities’ use of greenhouse gas emissions inventories as a basis for mitigation

Krause, R. M., Park, A. Y. S., Hawkins, C. V., et al. (2019) · Journal of Environmental Policy & Planning · doi:10.1080/1523908x.2019.1680273 · Cited by 18

Concurrent cisplatin or cetuximab with radiotherapy for HPV-positive oropharyngeal cancer: Medical resource use, costs, and quality-adjusted survival from the De-ESCALaTE HPV trial

Jones, D. A., Mistry, P., Dalby, M., Fulton‐Lieuw, T., Kong, A. H., Dunn, J., Mehanna, H. M., & Gray, A. M. (2019) · European Journal of Cancer · doi:10.1016/j.ejca.2019.10.025 · Cited by 18

A randomized placebo-controlled trial of bupropion for Cancer-related fatigue: Study design and procedures

Jim, H., Hoogland, A. I., Han, H. S., Culakova, E., Heckler, C. E., Janelsins, M. C., Williams, G. C., Bower, J. E., Cole, S., Desta, Z., et al. (2020) · Contemporary Clinical Trials · doi:10.1016/j.cct.2020.105976 · Cited by 18

Impact of World War 1 on placenta weight, birth weight and other anthropometric parameters of neonatal health

Butie, C., Matthes, K. L., Hösli, I., Floris, J., & Staub, K. (2020) · Placenta · doi:10.1016/j.placenta.2020.07.003 · Cited by 20

The prevalence and prognostic factors of psychological distress in older patients with a hip fracture: A longitudinal cohort study

van de Ree, C. L. P., de Munter, L., Biesbroeck, B. H. H., Kruithof, N., Gosens, T., & de Jongh, M. A. C. (2020) · Injury · doi:10.1016/j.injury.2020.07.049 · Cited by 18

Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions

Bruni, R., Daraio, C. C., & Aureli, D. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.106512 · Cited by 18

Multiple Imputation of Missing Race and Ethnicity in CDC COVID-19 Case-Level Surveillance Data

Zhang, G., Rose, C. E., Zhang, Y., Li, R., Lee, F. C., Massetti, G. M., & Adams, L. E. (2022) · International Journal of Statistics in Medical Research · doi:10.6000/1929-6029.2022.11.01 · Cited by 17

The Effect of Early Catch-Up Growth on Health and Well-Being in Young Adults

van Dommelen, P., van der Pal, S. M., Gravenhorst, J. B., et al. (2014) · Annals of Nutrition and Metabolism · doi:10.1159/000364884 · Cited by 18

The effectiveness of a Supported Self-management task-shifting intervention for adult depression in Vietnam communities: study protocol for a randomized controlled trial

Murphy, J., Goldsmith, C. H., Jones, W. R., Oanh, P. T. K., & Nguyen, V. C. (2017) · Trials · doi:10.1186/s13063-017-1924-5 · Cited by 19

Satisfaction with Care Among Men with Localised Prostate Cancer: A Nationwide Population-based Study

Bergengren, O., Garmo, H., Ola Bratt, A., Holmberg, L., Johansson, E., & Bill‐Axelson, A. (2018) · European Urology Oncology · doi:10.1016/j.euo.2018.02.003 · Cited by 19

Self-Reported Hearing/Visual Loss and Mortality in Middle-Aged and Older Adults: Findings From the Komo-Ise Cohort, Japan

Miyawaki, A., Kobayashi, Y., & Kawachi, I. I. (2019) · Journal of Epidemiology · doi:10.2188/jea.je20180198 · Cited by 18

Pilot Study of the Juvenile Dermatomyositis Consensus Treatment Plans: A CARRA Registry Study

Liu, K., TOMLINSON, G. A., Reed, A. M., et al. (2020) · The Journal of Rheumatology · doi:10.3899/jrheum.190494 · Cited by 18

Self-reported long-term cardiac morbidity in breast cancer patients: a retrospective cohort study in Germany (PASSOS Heart Study)

Wollschläger, D., Merzenich, H., Schwentner, L., Janni, W., Wiegel, T., Bartkowiak, D., Wöckel, A., Schmidt, M., Schmidberger, H., & Blettner, M. (2017) · Breast Cancer Research and Treatment · doi:10.1007/s10549-017-4215-7 · Cited by 17

Impact on perinatal health and cost-effectiveness of risk-based care in obstetrics: a before-after study

van Montfort, P., Scheepers, H. C. J., Dirksen, C. D., van Dooren, I. M. A., van Kuijk, S. M. J., Meertens, L. J. E., Wijnen, E. J., Zelis, M., Zwaan, I. M., Spaanderman, M. E. A., et al. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.02.036 · Cited by 17

To use or not to use learning data: A survey study to explain German primary school teachers’ usage of data from digital learning platforms for purposes of individualization

Hase, A., Kahnbach, L., Kuhl, P., & Lehr, D. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.920498 · Cited by 17

Smoothing target encoding and class center-based firefly algorithm for handling missing values in categorical variable

Nugroho, H., Utama, N. P., & Surendro, K. (2023) · Journal Of Big Data · doi:10.1186/s40537-022-00679-z · Cited by 18

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy

Burnside, E. S., Liu, J., Wu, Y., et al. (2015) · Academic Radiology · doi:10.1016/j.acra.2015.09.007 · Cited by 17

A Comparison of Three Approaches to Correct for Direct and Indirect Range Restrictions: A Simulation Study

Pfaffel, A., Schober, B., & Spiel, C. (2020) · Scholarworks (University of Massachusetts Amherst) · doi:10.7275/x4ep-fv42 · Cited by 17

Nonparametric Imputation by Data Depth

Mozharovskyi, P., Josse, J., & Husson, F. (2019) · Journal of the American Statistical Association · doi:10.1080/01621459.2018.1543123 · Cited by 17

A Bayesian Approach to Developing a Stochastic Mortality Model for China

Li, J. S., Zhou, K. Q., Zhu, X. M., et al. (2019) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12473 · Cited by 17

The effect of team collaboration and continuity of care on health and disability among rehabilitation patients: a longitudinal survey-based study from western Norway

Hustoft, M., Biringer, E., Gjesdal, S., Moen, V. P., Aβmus, J., & Hetlevik, Ø. (2019) · Quality of Life Research · doi:10.1007/s11136-019-02216-7 · Cited by 17

Factors contributing to post-stroke health care utilization and costs, secondary results from the life after stroke (LAST) study

Døhl, Ø., Halsteinli, V., Askim, T., Gunnes, M., Ihle‐Hansen, H., Indredavik, B., Langhammer, B., Phan, A., & Magnussen, J. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05158-w · Cited by 17

Imputation of missing covariate in randomized controlled trials with a continuous outcome: Scoping review and new results

Kayembe, M. T., Jolani, S., Tan, F. E. S., & van Breukelen, G. (2020) · Pharmaceutical Statistics · doi:10.1002/pst.2041 · Cited by 16

Longitudinal associations between the disruption of incarceration and community re-entry on substance use risk escalation among Black men who have sex with men; a causal analysis

Feelemyer, J., Dyer, T., Turpin, R., Brewer, R., Hucks-Oritz, C., van der Mei, W. F., Cleland, C., Mazumdar, M., Caniglia, E., Geller, A., et al. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108123 · Cited by 16

Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative

Alexos, A., Kokkotis, C., Moustakidis, S., Papageorgiou, E. I., & Tsaopoulos, D. E. (2020) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa50023.2020.9284379 · Cited by 18

Saturated signals in spectroscopic imaging: why and how should we deal with this regularly observed phenomenon?

Nardecchia, A., Motto‐Ros, V., & Duponchel, L. (2021) · Analytica Chimica Acta · doi:10.1016/j.aca.2021.338389 · Cited by 17

Regression imputation optimizing sample size and emulation: Demonstrations and comparisons to prominent methods

Templeton, G. F., Kang, M., & Tahmasbi, N. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113624 · Cited by 17

Die langfristigen individuellen Konsequenzen des Studienabbruchs

Klein, D., Mishra, S., & Müller, L. (2021) · Springer eBooks · doi:10.1007/978-3-658-32892-4_12 · Cited by 17

Multiple imputation in veterinary epidemiological studies: a case study and simulation

Dohoo, I. R., Nielsen, C., & Emanuelson, U. (2016) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2016.04.003 · Cited by 17

Towards an MI-proper Predictive Mean Matching

Gaert, P., Meinfelder, F., & Bosch, V. (2016) · Cited by 17

A robust imputation method for missing responses and covariates in sample selection models

Ogundimu, E., & Collins, P. G. S. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280217715663 · Cited by 17

Teachers’ rankings of children’s executive functions: Validating a methodology for school-based data collection

Sulik, M. J., & Obradović, J. (2018) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2018.01.016 · Cited by 18

Visual Analysis of Missing Values in Longitudinal Cohort Study Data

Alemzadeh, S., Niemann, U., Ittermann, T., et al. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13662 · Cited by 17

Zostavax vaccine effectiveness among US elderly using real‐world evidence: Addressing unmeasured confounders by using multiple imputation after linking beneficiary surveys with Medicare claims

Izurieta, H. S., Wu, X., Lu, Y., et al. (2019) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.4801 · Cited by 17

Urinary Sodium-to-Potassium Ratio and Blood Pressure in CKD

de Pinho, N. A., Kaboré, J., Laville, M., Metzger, M., Lange, C., Jacquelinet, C., Combe, C., Fouque, D. P., Frimat, L., Ayav, C., et al. (2020) · Kidney International Reports · doi:10.1016/j.ekir.2020.05.025 · Cited by 19

Total Survey Error for Longitudinal Surveys

Lynn, P. J., & Lugtig, P. J. (2017) · doi:10.1002/9781119041702.ch13 · Cited by 19

Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic DataPreprint

Arnold, C., & Neunhoeffer, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.07740 · Cited by 28

Human Capital and Reemployment Success: The Role of Cognitive Abilities and Personality

Gnambs, T. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5010009 · Cited by 16

Disentangling the health-crime relationship among adults: The role of healthcare access and health behaviors

Semenza, D. C., Isom, D. A., Grosholz, J. M., & Jackson, D. B. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.112800 · Cited by 17

How Self-Employed Older Adults Differ by Age: Evidence and Implications From the Health and Retirement Study

Halvorsen, C. (2020) · The Gerontologist · doi:10.1093/geront/gnaa132 · Cited by 18

Imputation using information fusion technique for sensor generated incomplete data with high missing gap

Adhikari, D., Jiang, W., & Zhan, J. (2021) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2020.103636 · Cited by 15

A comparison study of human examples vs. non-human examples in an evolution lesson leads to differential impacts on student learning experiences in an introductory biology course

Grunspan, D. Z., Dunk, R. D. P., Barnes, M. E., Wiles, J. R., & Brownell, S. E. (2021) · Evolution Education and Outreach · doi:10.1186/s12052-021-00148-w · Cited by 16

The anatomy of friendship: neuroanatomic homophily of the social brain among classroom friends

D’Onofrio, P., Norman, L. J., Sudre, G. P., White, T. J. H., & Shaw, P. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab398 · Cited by 15

What Have We Called as “Poverty”? A Multidimensional and Longitudinal Perspective

Kim, S. (2015) · Social Indicators Research · doi:10.1007/s11205-015-1101-8 · Cited by 15

Associations between parental chronic pain and self-esteem, social competence, and family cohesion in adolescent girls and boys – family linkage data from the HUNT study

Kaasbøll, J., Ranøyen, I., Nilsen, W., Lydersen, S., & Indredavik, M. S. (2015) · BMC Public Health · doi:10.1186/s12889-015-2164-9 · Cited by 21

Dealing with deficient and missing data

Dohoo, I. R. (2015) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2015.04.006 · Cited by 16

Le score de propension, une alternative crédible à la randomisation ?

Filleron, T., & Kwiatowski, F. (2015) · Bulletin du Cancer · doi:10.1016/j.bulcan.2015.10.012 · Cited by 17

Telemonitoring in patients with heart failure: Is there a long-term effect?

Gingele, A. J., Rocca, H. B., Ramaekers, B. L. T., Gorgels, A. P. M., Weerd, G. D., Kragten, J. A., van Empel, V. P. M., Brandenburg, V. M., Vrijhoef, H. J., Cleuren, G. V. J., et al. (2017) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x17747641 · Cited by 16

Predicting an Unfavorable Course of Dizziness in Older Patients

Stam, H., Maarsingh, O. R., Heymans, M. W., van Weert, H. C. P. M., van der Wouden, J. C., & van der Horst, H. E. (2018) · The Annals of Family Medicine · doi:10.1370/afm.2289 · Cited by 16

Anode effect prediction based on a singular value thresholding and extreme gradient boosting approach

Zhou, K., Zhang, Z., Liu, J., Hu, Z., Duan, X., & Xu, Q. (2018) · Measurement Science and Technology · doi:10.1088/1361-6501/aaee5e · Cited by 16

A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes

Ji, L., Chen, M., Oravecz, Z., Cummings, E. M., Lu, Z., & Chow, S. (2019) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2019.1623681 · Cited by 17

Career trajectories into undereducation. Which skills and resources substitute formal education in the intergenerational transmission of advantage?*

Wiedner, J., & Schaeffer, M. (2020) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2020.100526 · Cited by 21

New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes

Arciniegas‐Alarcón, S., García‐Peña, M., & Rodrigues, P. C. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105617 · Cited by 16

Minimally Invasive Versus open AbdominoThoracic Esophagectomy for esophageal carcinoma (MIVATE) — study protocol for a randomized controlled trial DRKS00016773

Nickel, F., Probst, P., Studier‐Fischer, A., et al. (2021) · Trials · doi:10.1186/s13063-020-04966-z · Cited by 16

Characterization of heart rate variability signal for distinction of meditative and pre-meditative states

Deka, D., & Deka, B. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102414 · Cited by 16

Metacognitions and Obsessive Beliefs in Obsessive–Compulsive Disorder: A Study of Within- and Between-Person Effects on Long-Term Outcome

Sunde, T., Johnson, S. U., Himle, J. A., Bertelsen, T. B., Haaland, V. Ø., Vogel, P. A., Walseth, L. T., & Haaland, V. Ø. (2021) · Cognitive Therapy and Research · doi:10.1007/s10608-021-10210-y · Cited by 18

Self-regulation as promotive for academic achievement in young children across risk contexts

Distefano, R., Grenell, A., Palmer, A. R., Houlihan, K., Masten, A. S., & Carlson, S. M. (2021) · Cognitive Development · doi:10.1016/j.cogdev.2021.101050 · Cited by 21

Comparative Effectiveness of Atezolizumab, Nivolumab, and Docetaxel in Patients With Previously Treated Non–Small Cell Lung Cancer

Ramagopalan, S. V., Gupta, A., Arora, P., Thorlund, K., Ray, J. A., & Subbiah, V. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.34299 · Cited by 17

Multiple imputation for assessment of exposures to drinking water contaminants: Evaluation with the Atrazine Monitoring Program

Jones, R. M., Stayner, L. T., & Demirtaş, H. (2014) · Environmental Research · doi:10.1016/j.envres.2014.07.027 · Cited by 16

Partioned predictive mean matching as a large data multilevel imputation technique.

Vink, G., Lazendic, G., & van Buuren, S. (2015) · TNO Repository · Cited by 16

The Pattern of Social Fluidity within the British Class Structure: A Topological Model

Bukodi, E., Goldthorpe, J. H., & Kuha, J. (2016) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12234 · Cited by 16

Baseline Characteristics Predicting Very Good Outcome of Allogeneic Hematopoietic Cell Transplantation in Young Patients With High Cytogenetic Risk Chronic Lymphocytic Leukemia - A Retrospective Analysis From the Chronic Malignancies Working Party of the EBMT

van Gelder, M., Ziagkos, D., de Wreede, L. C., et al. (2017) · Clinical Lymphoma Myeloma & Leukemia · doi:10.1016/j.clml.2017.06.007 · Cited by 16

Treatment of auditory hallucinations with bilateral theta burst stimulation (cTBS): protocol of a randomized, double-blind, placebo-controlled, multicenter trial

Plewnia, C., Brendel, B., Schwippel, T., Martus, P., Cordes, J., Hasan, A., & Fallgatter, A. J. (2017) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-017-0861-3 · Cited by 16

A comparison of two approaches to implementing propensity score methods following multiple imputation

de Vries, B. B. L. P., & Groenwold, R. H. H. (2022) · Epidemiology Biostatistics and Public Health · doi:10.2427/12630 · Cited by 16

Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data

Vidotto, D., Vermunt, J. K., & Deun, K. V. (2018) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998618769871 · Cited by 14

Comparison of three generic quality-of-life metrics in peripheral arterial disease patients undergoing conservative and invasive treatments

Petersohn, S., Ramaekers, B., Olie, R., ten Cate-Hoek, A. J., Daemen, J., ten Cate, H., & Joore, M. (2019) · Quality of Life Research · doi:10.1007/s11136-019-02166-0 · Cited by 11

Examining and Expanding Latinx General Strain Theory

Isom, D. A., Whiting, S., & Grosholz, J. M. (2020) · Race and Justice · doi:10.1177/2153368720930409 · Cited by 18

missIWAE: Deep Generative Modelling and Imputation of Incomplete Data.Preprint

Mattei, P., & Frellsen, J. (2018) · arXiv (Cornell University) · Cited by 16

Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data - NJ Wiley Hoboken, 2020, 464 pp, $98.95 (hardcover), $79.00 (eBook), Print ISBN: 9780470526798, Online ISBN: 9781119482260

Vink, G. (2022) · Psychometrika · doi:10.1007/s11336-022-09856-8 · Cited by 16

Multiple Data Imputation Methods Advance Risk Analysis and Treatability of Co-occurring Inorganic Chemicals in Groundwater

Mahmood, A. U., Islam, M., Gulyuk, A. V., Briese, E., Velasco, C. A., Malu, M., Sharma, N., Spanias, A., Yingling, Y. G., & Westerhoff, P. K. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c05203 · Cited by 17

Advantages and Disadvantages of Modeling Beliefs by Single Item and Scale Models in the Context of the Theory of Planned Behavior

Heuckmann, B., Hammann, M., & Asshoff, R. (2019) · Education Sciences · doi:10.3390/educsci9040268 · Cited by 15

Supporting Patients With Untreated Prostate Cancer on Active Surveillance: What Causes an Increase in Anxiety During the First 10 Months?

Alvisi, M. F., Dordoni, P., Rancati, T., Avuzzi, B., Nicolai, N., Badenchini, F., Luca, L. D., Magnani, T., Marenghi, C., Menichetti, J., et al. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.576459 · Cited by 15

Neoadjuvant irradiation of retroperitoneal soft tissue sarcoma with ions (Retro-Ion): study protocol for a randomized phase II pilot trial

Seidensaal, K., Kieser, M., Hommertgen, A., et al. (2021) · Trials · doi:10.1186/s13063-021-05069-z · Cited by 15

Predicting the Risk of Human Immunodeficiency Virus Type 1 (HIV-1) Acquisition in Rural South Africa Using Geospatial Data

Roberts, D. A., Cuadros, D. F., Vandormael, A. M., et al. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciac069 · Cited by 15

Safety behaviors toward innocuous stimuli can maintain or increase threat beliefs

van Dis, E. A. M., Krypotos, A., Zondervan-Zwijnenburg, M. A. J., Tinga, A. M., & Engelhard, I. M. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104142 · Cited by 14

Analysis of long-term rainfall trend, variability, and drought in the Awash River Basin, Ethiopia

Meskelu, E., Ayana, M., & Birhanu, D. (2024) · Theoretical and Applied Climatology · doi:10.1007/s00704-024-05170-8 · Cited by 15

Post‐transplant adaptive function in childhood cerebral adrenoleukodystrophy

Pierpont, E. I., McCoy, E., King, K. E., Ziegler, R. S., Shanley, R., Nascene, D. R., Raymond, G. V., Phelan, R., Lund, T. C., Orchard, P. J., et al. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.526 · Cited by 16

On imputation for planned missing data in context questionnaires using plausible values: a comparison of three designs

Kaplan, D. E., & Su, D. (2018) · Large-scale Assessments in Education · doi:10.1186/s40536-018-0059-9 · Cited by 15

Linking geomorphological and demographic movements: The case of Southern Albania

Bon, N. G., Josipovič, D., & Kanjir, U. (2018) · Applied Geography · doi:10.1016/j.apgeog.2018.09.002 · Cited by 15

A Non-Iterative Neural-Like Framework for Missing Data Imputation

Tkachenko, R., Mishchuk, O., Izonin, I., et al. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.08.046 · Cited by 15

A multiple imputation score test for model modification in structural equation models.

Mansolf, M. A., Jorgensen, T. D., & Enders, C. K. (2019) · Psychological Methods · doi:10.1037/met0000243 · Cited by 15

Disrupting the disruption cycle – A longitudinal analysis of aggression trajectories, quality of life, psychopathology and self-efficacy in closed youth residential care

Kind, N., Bürgin, D., Clemens, V., Jenkel, N., & Schmid, M. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105015 · Cited by 15

A randomized controlled trial of a virtual reality based, approach-avoidance training program for alcohol use disorder: a study protocol

Mellentin, A. I., Nielsen, A. S., Ascone, L., Wirtz, J., Samochowiec, J., Kucharska–Mazur, J., Schadow, F., Lebiecka, Z., Skoneczny, T., Mistarz, N., et al. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02739-1 · Cited by 16

Substance use in psychiatric crisis: relationship to violence

Kalk, N. J., Robins, J. E., Ross, K. R., Pritchard, M., Lynskey, M. T., Curtis, V. A., & Morley, K. I. (2020) · Psychological Medicine · doi:10.1017/s0033291720003451 · Cited by 16

Onderzoeksopzet evaluatie Gezonde School: onder welke condities doet het ertoe?

Vennegoor, G., Vonk, L., van Assema, P., Huijts, T., Eekhout, I. E., Molleman, G. R. M., Levels, M., & Jansen, M. W. J. (2020) · TSG - Tijdschrift voor gezondheidswetenschappen · doi:10.1007/s12508-020-00276-6 · Cited by 15

Socioeconomic and behavioral determinants of cardiovascular diseases among older adults in Belgium and France: A longitudinal analysis from the SHARE study

Hassen, H. Y., Bastiaens, H., Royen, K. V., & Abrams, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243422 · Cited by 16

Neighborhood-aware autoencoder for missing value imputation

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