Handling missing data in clinical research

Missing data: our view of the state of the art

Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638

Inference and missing data

RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925

Multiple imputation using chained equations: Issues and guidance for practice

White, I. R., Royston, P., & Wood, A. M. (2011) · Statistics in Medicine · doi:10.1002/sim.4067 · Cited by 9,792

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Sterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ · doi:10.1136/bmj.b2393 · Cited by 7,299

Untitled work

(2010) · Cited by 7,034

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(2010) · University of Twente Research Information · Cited by 6,037

A comparison of inclusive and restrictive strategies in modern missing data procedures.

Collins, L. M., Schafer, J. L., & Kam, C.-M. (2001) · Psychological Methods · doi:10.1037/1082-989x.6.4.330 · Cited by 2,389

Multiple Imputation for Nonresponse in Surveys.

Lynn, P. J., & Rubin, D. B. (1988) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348774 · Cited by 2,330

The prevention and treatment of missing data in clinical trials

Little, R. J., D'Agostino, R., Cohen, M. L., Dickersin, K., Emerson, S. S., Farrar, J. T., Frangakis, C., Hogan, J. W., Molenberghs, G., Murphy, S. A., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmsr1203730 · Cited by 1,884

Missing Data in Clinical Research: A Tutorial on Multiple Imputation

Austin, P. C., White, I. R., Lee, D. S., & van Buuren, S. (2021) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2020.11.010 · Cited by 1,006 · cited 1×

Low socioeconomic status is associated with worse treatment outcomes in patients with Achilles tendinopathy

Visser, T. S., Brul, S. L., Deng, J. F., Bonsel, J. M., van Es, E. M., Eygendaal, D. E., & de Vos, R. (2024) · British Journal of Sports Medicine · doi:10.1136/bjsports-2023-107633 · Cited by 5

Enhancing data integrity in Electronic Health Records: Review of methods for handling missing dataPreprint

Vahdati, A., Cotterill, S., Marsden, A., & Kontopantelis, E. (2024) · medRxiv · doi:10.1101/2024.05.13.24307268 · Cited by 5

Investigating Differential Item Functioning of the Simplified Beck Depression Inventory Using Partial Credit Tree Model

Effatpanah, F., Schmitt, M., Kunina‐Habenicht, O., & Doebler, P. (2025) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2025.2540341 · Cited by 4

Hyperparameters and Tuning Methods for Random Forest Using Python Sklearn Package Relevant to Psychology Studies

Uludağ, K. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-2703-6.ch011 · Cited by 4

Benefits of a group-based running session on feelings of energy and fatigue: No augmenting effect of green exercise during the defoliation season

Legrand, F. D., Jeandet, P., Polidori, G., Beaumont, F., & Rhodes, R. E. (2024) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2024.102760 · Cited by 6

Interpretive machine learning predicts short-term mortality risk in elderly sepsis patients

Zhu, X., Jiang, Z.-M., Xiao, L., Lv, Z.-W., Tian, J., & Su, F. (2025) · Frontiers in Physiology · doi:10.3389/fphys.2025.1549138 · Cited by 4

The Longitudinal Association Between Chronic Back Pain and Cognitive Decline in Older Adults With Mediation Analysis: An Analysis of Four Population‐Based Databases

Huang, F., Zhang, Y., Liu, L., Hsu, C. L., Chung, R., Wu, W., Zheng, D. K. Y., Xiong, Z., Chang, J. R., Zheng, Y., et al. (2025) · European Journal of Pain · doi:10.1002/ejp.70084 · Cited by 5

Machine learning-driven insights into the mechanical performance of polymeric microneedle array patches

Liew, X. Y., Lee, J. Y., Ong, J. Y., Tham, Y. Y., Yeoh, E. D., Osman, M. A., & Goh, C. F. (2025) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.114505 · Cited by 4

Artificial intelligence and its role in developing predictive prognostic models for patients with aneurysmal subarachnoid hemorrhage: A systematic review

Khan, M. M., Shah, N., Arshad, M. M., Alrabayah, T., & Belkhair, S. (2024) · Next research. · doi:10.1016/j.nexres.2024.100002 · Cited by 4

Spontaneous recovery in the majority of stable dysplastic hips treated with active surveillance

Theunissen, W. W. E. S., van der Steen, M. C., Klerkx, T., Schonck, C., Besselaar, A. T., van Douveren, F. Q. M. P., & Tolk, J. J. (2025) · The Bone & Joint Journal · doi:10.1302/0301-620x.107b2.bjj-2024-0331.r1 · Cited by 4

Mechanisms Linking Restaurant Entrepreneurship Education to Graduating Hospitality Students’ Entrepreneurial Intentions: Validating the Theory of Planned Behavior

Xu, D., & Lee, C. (2025) · SAGE Open · doi:10.1177/21582440251319957 · Cited by 4

Prepregnancy levels of antimüllerian hormone do not impact the perinatal outcomes in women with polycystic ovary syndrome

Guo, Y., Chen, H., Zha, L., Bai, D., & Jin, L. (2025) · Fertility and Sterility · doi:10.1016/j.fertnstert.2025.06.032 · Cited by 4

Digital phenotyping: An equal opportunity approach to reducing disparities in Alzheimer's disease and related dementia research

Britton, G. B., Huang, L., Villarreal, A. E., Levey, A. I., Philippakis, A., Hu, C., Yang, C. C., Mushi, D. L., Oviedo, D. C., Rangel, G. A., et al. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12495 · Cited by 4

Overcoming Missing Data: Accurately Predicting Cardiovascular Risk in Type 2 Diabetes, A Systematic Review

Ren, W., Fan, K., Liu, Z., Wu, Y., An, H., & Liu, H. (2025) · Journal of Diabetes · doi:10.1111/1753-0407.70049 · Cited by 3

Current practices in hemodynamic monitoring and management during non-cardiac surgery in Austria

Gaik, C., Paal, P., Reuter, D. A., Wulf, H., & Vojnar, B. (2025) · BMC Anesthesiology · doi:10.1186/s12871-025-03374-7 · Cited by 3

Construction of a risk prediction model for postoperative atrial fibrillation in lung cancer patients based on multi-dimensional feature fusion and ensemble learning

Gong, Z., Haierla, S., Shi, J., & Liu, X. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1679973 · Cited by 3

Integration of metabolic parameters with SOFA score for mortality risk assessment in elderly sepsis: a derivation study

Zhu, X., Li, W., Lv, Z., & Pan, X. (2025) · BMC Infectious Diseases · doi:10.1186/s12879-025-12031-w · Cited by 3

Associations of bullying victimization with problematic internet gaming and problematic social media use among adolescents: moderators and differences

Neumayer, F., Jantzer, V., Killer, A., Lerch, S., & Kaess, M. (2025) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-025-01008-x · Cited by 3

Investigating VR Safety Training Transfer in Construction Hazard Recognition: A Neurocognitive Perspective

Xiong, Z., Ding, Z., Li, Y., & Zhang, J. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.104412 · Cited by 5

Temporal instability analysis of fatal commercial fishing vessel incidents: A correlated random-parameter model with heterogeneity in means

Ye, Y., Liu, M., Meng, F., Wong, S. C., Gao, X., & Yang, Z. (2026) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2026.112423 · Cited by 4

Handling missing patient-reported outcomes in longitudinal clinical trials: a simulation study

Khan, H. (2026) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2026.112254 · Cited by 3

Trustworthy AI for Predictive Analytics under Missing Data

Bouraima, M. O., Shahin, M. B. N., Nandy, D., Islam, M. J., Koneru, S. P., & Biswas, A. (2026) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict68280.2026.11510904 · Cited by 3

Did temporomandibular gap arthroplasty with temporalis interpositional flap improve function and pain in patients with end-stage joint disease? A 5-year retrospective follow-up

Bazsefidpay, N., Ulmner, M., & Lund, B. K. (2024) · Journal of Cranio-Maxillofacial Surgery · doi:10.1016/j.jcms.2024.02.013 · Cited by 3

Screen11: validating a screening instrument for voice disorders in accordance with the COSMIN framework

Holmqvist-Jämsén, S., Fellman, D., Wistbacka, G. Ö., Kuuskoski, J., Ruuskanen, M., Zenger, A., Rantanen, J., & Simberg, S. (2024) · Logopedics Phoniatrics Vocology · doi:10.1080/14015439.2024.2330967 · Cited by 3

Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem

Ortíz-Bayliss, J. C., Gárate-Escamilla, A. K., & Terashima‐Marín, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-62836-8_4 · Cited by 3

Training and Game Loads Across Noncongested and Congested Weekly Microcycles During the Regular Season in a Semiprofessional Women’s Basketball Team

Power, C. J., Fox, J. L., Teramoto, M., Dalbo, V. J., & Scanlan, A. T. (2024) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2023-0448 · Cited by 3

Rationale and design of Dapagliflozin vErsus SacubiTrIl-valsartaN therapY in Heart Failure with reduced ejection fraction (DESTINY-HF): a pragmatic randomised controlled trial protocol

Tiwari, K., Deora, S., Choudhary, R., Kaushik, A., Dwivedi, P., Singh, S., Ambwani, S. R., Midha, N. K., Shukla, R. K. G., Sankanagoudar, S., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-089562 · Cited by 3

Donor and recipient factors associated with primary graft dysfunction following lung transplantation: A donor management goal registry analysis

Alderete, I. S., Medina, C. K., Pontula, A., Halpern, S. E., Soto, A. L., Patel, K., Klapper, J. A., & Hartwig, M. G. (2024) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2024.10.045 · Cited by 4

Validation of a French version of the empowerment scale for mental health service users

Desvignes, S., Boucékine, M., Loubière, S., Leclerc, L., Auquier, P., & Tinland, A. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06554-4 · Cited by 3

Host Biomarkers and Antibiotic Tissue Penetration in Sepsis: Insights from Moxifloxacin

Sanz-Codina, M., Nowak, H., & Zeitlinger, M. A. (2025) · European Journal of Drug Metabolism and Pharmacokinetics · doi:10.1007/s13318-025-00945-4 · Cited by 3

Furosemide versus placebo for fluid overload in intensive care patients—The randomised GODIF trial second version: Statistical analysis plan

Wichmann, S., Lange, T., Perner, A., Gluud, C. N., Itenov, T. S., Berthelsen, R. E., Nebrich, L., Wiis, J., Brøchner, A. C., Nielsen, L. G., et al. (2023) · Acta Anaesthesiologica Scandinavica · doi:10.1111/aas.14320 · Cited by 3

Identification of risk factors on rabies vaccine efficacy from censored data: Pre-travel tests for dogs and cats from Yaoundé (2005–2015)

Ntsama, F., Noh, S. M., Tizzani, P., Ntsama, C. F. A., Ella, G. S. N., Awada, L., & Tidjou, G. S. D. (2024) · Research in Veterinary Science · doi:10.1016/j.rvsc.2024.105278 · Cited by 3

Estimating Missing Panel Data with Regression and Multivariate Imputation by Chained Equations (MICE)

Susetyo, B., & Fitrianto, A. (2024) · CAUCHY Jurnal Matematika Murni dan Aplikasi · doi:10.18860/ca.v9i1.24824 · Cited by 3

Tutorial: dos and don’ts in clinical prediction research for venous thromboembolism

Nemeth, B., Smeets, M. J. R., Cannegieter, S. C., & van Smeden, M. (2024) · Research and Practice in Thrombosis and Haemostasis · doi:10.1016/j.rpth.2024.102480 · Cited by 3

News Media Coverage of Snakebite Incidence in Nepal during 2010–2022

Pandey, D. P. (2023) · Advances in Clinical Toxicology · doi:10.23880/act-16000285 · Cited by 3

Moderators of treatment effect of non-steroidal anti-inflammatory drugs for patients with (sub) acute low back pain: Protocol for a systematic review with individual participant data meta-analysis

Fu, Y., Madsen, S. D., Shaheed, C. A., de Zoete, A., Chiarotto, A., & Koes, B. W. (2024) · MethodsX · doi:10.1016/j.mex.2024.102713 · Cited by 2

The association between alcohol retail access and health care visits attributable to alcohol for individuals with and without a history of alcohol‐related health‐care use

Myran, D. T., Friesen, E. L., Talarico, R., Gaudreault, A., Taljaard, M., Hobin, E. P., Smith, B. T., Schwartz, N., Giesbrecht, N., Crépault, J., et al. (2024) · Addiction · doi:10.1111/add.16566 · Cited by 2

Distributed stochastic optimization algorithm with non-consistent constraints in time-varying unbalanced networks

Zhu, Y., Zhou, Z., & Miao, G. (2024) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2024.107081 · Cited by 2

Oops, we missed a spot: Comparing data substitution methods for non-random missing survey data in a longitudinal study

Cheung, T. C. K., Cost, K. T., Esser, K., Anagnostou, E. A., Birken, C. S., Charach, A., Monga, S., Korczak, D. J., & Crosbie, J. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.10.070 · Cited by 2

Effect of Current-Season-Only Versus Continuous Two-Season Influenza Vaccination on Mortality in Older Adults: A Propensity-Score-Matched Retrospective Cohort Study

Sun, H., Yijing, W., Wei, Y., Hu, W., Zhou, J., Nama, N., Ma, Y., Liu, G., & Hao, Y. (2025) · Vaccines · doi:10.3390/vaccines13020164 · Cited by 2

Evaluating Methods for Imputing Race and Ethnicity in Electronic Health Record Data

Conderino, S. E., Divers, J., Dodson, J. A., Thorpe, L. E., Weiner, M. G., & Adhikari, S. (2025) · Health Services Research · doi:10.1111/1475-6773.14649 · Cited by 2

Antibiotic use for common illnesses in children living with disability: a multi-country study across 42 low- and middle-income countries

Qiu, S., Xu, M., Wu, Y., Liu, C., Li, X., Yang, X., Xia, H., Wang, R., Ma, Z., Meng, F., et al. (2025) · EClinicalMedicine · doi:10.1016/j.eclinm.2025.103326 · Cited by 2

Federated causal inference from observational data

Vo, T. V., Lee, Y., & Leong, T.-Y. (2025) · Machine Learning · doi:10.1007/s10994-025-06819-9 · Cited by 2

Impact of maltreatment, shame and self-criticism on psychological difficulties: A variable- and a person-centred approach with adolescents from community and residential youth care

Miguel, R. R., Santos, L., Salvador, M. D. C., Nobre-Lima, L., & Rijo, D. (2025) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2025.107627 · Cited by 2

Better movers, better friends? A test for the environmental stress hypothesis in typically developing primary school children

de Bruijn, A. G. M., & Brocken, J. E. A. (2025) · British Journal of Developmental Psychology · doi:10.1111/bjdp.70016 · Cited by 2

Is surgery for multiple myeloma-related spinal involvement associated with higher blood loss compared to spinal metastases?

Velde, J. P. T., Zijlstra, H., Pierik, R., Shankar, G. M., van Royen, B. J., Kempen, D. H. R., Schwab, J. H., & Tobert, D. G. (2025) · European Spine Journal · doi:10.1007/s00586-025-09294-x · Cited by 2

Health-Related Social Needs Among LGB+ Veterans

Lamba, S., Frank, D. A., McCoy, J. L., Purkayastha, S., Leder, S., Russell, L. E., Gordon, J. H., Procario, G. T., Moy, E. M., & Hausmann, L. R. M. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.39986 · Cited by 2

Could Primary Contact Physical Therapy Improve Emergency Department Care While Being Efficient? A 3-Month Cost-Utility Analysis

Gagnon, R., Guertin, J. R., Perreault, K., LaRue, S., Berthelot, S., Gatovo, K. E., Lafrance, S., & Hébert, L. J. (2025) · Journal of Orthopaedic and Sports Physical Therapy · doi:10.2519/jospt.2025.13429 · Cited by 2

Joint Statistical Mask Learning and Distributed Estimation Without Support Priors

Shamsi, M., & Marvasti, F. (2025) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2025.3599781 · Cited by 2

Socioeconomic determinants of virtual care use among people living with HIV in a clinical cohort in Ontario, Canada: A cross-sectional study

Rehman, N., Mbuagbaw, L., Mertz, D., Muraca, G. M., Jones, A., & on behalf of the Ontario HIV Treatment Network Cohort Study (2026) · PLoS ONE · doi:10.1371/journal.pone.0326989 · Cited by 2

Talking past each other: a review of the quantitative study of interlinkages between the sustainable development goals

Sota, R., & Venghaus, S. (2026) · Energy Sustainability and Society · doi:10.1186/s13705-026-00572-0 · Cited by 2

Micronutrient Deficiency During Pregnancy After Bariatric Surgery: The Role of Micronutrient Supplements and Dietary Intake

Guthrie, T. M., Eccles‐Smith, J., Lee, S., Kothari, A., Perez, W. F. P., Truby, H., & de Jersey, S. (2026) · Obesity Surgery · doi:10.1007/s11695-026-08576-7 · Cited by 2

Effects of rule-reversal ball games on executive function and motor coordination in boys aged 6–7 years

Ibrahim, A., Hawar, A. B., Albadree, B. M. M., Jebur, M. S., Al-Samarae, M. S. K., & Ahmed, M. H. (2026) · Pedagogy of Physical Culture and Sports · doi:10.15561/26649837.2026.0403 · Cited by 2

Fatigue Item Response among Hemoglobin-Normalized Patients with Paroxysmal Nocturnal Hemoglobinuria: PEGASUS Trial Results at 16 and 48 Weeks

Schwartz, C. E., Borowiec, K., Min, J., & Fishman, J. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13061703 · Cited by 2

Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets

Kia, H., Vali, M., & Sabahi, H. (2023) · National and International Iranian Conference on Biomedical Engineering (ICBME) · doi:10.1109/icbme61513.2023.10488667 · Cited by 3

International Comparison of Home Dialysis Uptake: A Multi-Registry Analysis from the INTEGRATED Research Group

Boyer, A., Éthier, I., Johnson, D. W., Tennankore, K., Lobbedez, T., Bechade, C., Couchoud, C., Semple, D. J., Elftouh, N., Ameh, O. I., et al. (2023) · Clinical Kidney Journal · doi:10.1093/ckj/sfag271 · Cited by 2

Feasibility of a nurse-initiated brief cognitive behavioral strategy intervention program for symptom clusters experienced by patients with advanced non-small cell lung cancer

Hamada, T., Ishikawa, H. A., Rosenzweig, M. Q., Nishimura, N., Sakakibara‐Konishi, J., & Itoh, T. (2024) · Asia-Pacific Journal of Oncology Nursing · doi:10.1016/j.apjon.2024.100600 · Cited by 2

Adolescent risk behaviours are associated with educational attainment in early adulthood: results from the Raine Study cohort

Graham, P. L., SCHOFIELD, D. J., Tait, R. J., Bista, S., Ivers, R., Liu, B. C., Lymer, S. J., Marino, J. L., Sanci, L. A., Shrestha, R. N., et al. (2024) · BMC Public Health · doi:10.1186/s12889-024-20208-2 · Cited by 2

Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database

Feng, Q., Lv, Z., Ba, C., & Zhang, Y. Q. (2024) · Scientific Reports · doi:10.1038/s41598-024-74294-8 · Cited by 2

Health-related quality of life in children born preterm at school age: the mediating role of social support and maternal stress

Martínez‐Shaw, M. L., Evensen, K. A. I., Melero, S., & Sánchez‐Sandoval, Y. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1463804 · Cited by 2

Evaluating the effectiveness of a conflict resolution and resilience building bespoke educational workshop for South Australia midwifery students: A pre-post measure education study

Simpson, N., Vernon, R., Briley, A. L., Esterman, A., & Steen, M. (2025) · Midwifery · doi:10.1016/j.midw.2025.104436 · Cited by 2

Confidence Intervals for the Model Performance Metrics Under the Imbalanced Classification: Evaluating SMOTE’s Impact on Metrics’ Reliability

Festa, Y. Y., & Penikas, H. I. (2025) · Model Assisted Statistics and Applications · doi:10.1177/15741699251350368 · Cited by 2

Dietary Habits and Obesity in Middle-Aged and Elderly Europeans—The Survey of Health, Ageing, and Retirement in Europe (SHARE)

Maltarić, M., Kljusurić, J. G., Kolak, M., Smolić, Š., Kolarić, B., & Bender, D. V. (2025) · Nutrients · doi:10.3390/nu17152525 · Cited by 2

Evaluation of Clinical and Quality of Life Effects of Oral Semaglutide Use in Type 2 Diabetes from a Public Health View: A Prospective Study in Italy

Pantanetti, P., Ronconi, V., Mancin, S., Carolis, C. D., Alberti, S., Pazzi, O., Marco, S. D., Michetti, G., Coacci, S., Mignini, V. E., et al. (2025) · Diabetology · doi:10.3390/diabetology6080080 · Cited by 3

External validation of unsupervised COVID-19 clinical phenotypes and their prognostic impact

Giacobbe, D. R., Maria, E. D., Tagliafico, A. S., Bavastro, M., Trombetta, C. S., Marelli, C., Meco, G. D., Cattardico, G., Mora, S., Signori, A., et al. (2023) · Annals of Medicine · doi:10.1080/07853890.2023.2195204 · Cited by 2

Incidence of Intraoperative Vasoplegic Syndrome in Lung Transplantation

Lam, S., Mofidi, S., Saddic, L., Neelankavil, J. P., Wingert, T., Cheng, D., Grogan, T., & Methangkool, E. (2023) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2023.08.136 · Cited by 2

EvoImp: Multiple Imputation of Multi-label Classification data with a genetic algorithm

Jacob, A. F. L., do Carmo, F. A., de Santana, Á. L., Santana, E. É. C., & Lobato, F. M. F. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297147 · Cited by 2

Assessing the feasibility and acceptability of a diabetes-specific nurse-led multicomponent smoking cessation intervention in diabetes education: study protocol for an open-label pragmatic randomised controlled trial

Grech, J. L., Norman, I. J., Azzopardi, C., Grixti, M., & Sammut, R. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-083235 · Cited by 1

A randomised controlled phase II trial to examine the feasibility of using hyper‐oxygenated fatty acids ( HOFA ) to prevent facial pressure injuries from medical devices among adults admitted to intensive care—A research protocol

Hunt, L., Ingleman, J., Brennen, K., Armstrong, K., Hazell, M., Keith, N., Bickford, B., Sanchez, D., Khalil, S., Geering, S., et al. (2024) · International Wound Journal · doi:10.1111/iwj.70069 · Cited by 2

Sociodemographic Variables in Offender and Non-Offender Patients Diagnosed with Schizophrenia Spectrum Disorders—An Explorative Analysis Using Machine Learning

Hofmann, A. B., Dörner, M., Machetanz, L., & Kirchebner, J. (2024) · Healthcare · doi:10.3390/healthcare12171699 · Cited by 2

Exploring public support for novel tobacco and alcohol control policies in Great Britain 2021–2023: A population-based cross-sectional survey

Buss, V. H., Shahab, L., Cox, S., Kock, L. S., Oldham, M., Bauld, L., Cheeseman, H., Reid, G., & Brown, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e41303 · Cited by 3

Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers

Singh, V., Chaganti, S., Siebert, M., Rajesh, S., Puiu, A., Gopalan, R., Gramz, J., Comaniciu, D., & Kamen, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-97331-6 · Cited by 1

Data Missingness and Equity Implications in the Nation's Largest Student Fitness Surveillance System: The New York City School Based Physical Fitness Testing Programs, 2006–2020

Thompson, H. R., Ricks‐Oddie, J., Schneider, M. L., Day, S. E., Argenio, K. L., Konty, K., Radom‐Aizik, S., Guo, Y., & Cooper, D. M. (2025) · Journal of School Health · doi:10.1111/josh.70021 · Cited by 1

LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis

Savieri, P., Stas, L., & Barbé, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325834 · Cited by 1

Predictive modeling and explainable AI in addressing disparities in adolescent vaccination uptake: Insights from the US national immunization survey-Teen

Mathkor, D. M., Sufyan, M., & Haque, S. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110953 · Cited by 1

Heterogeneity in association of myocardial injury and mortality in sepsis or acute respiratory distress syndrome by subphenotype: a retrospective study

Sanchez, P., Obeidalla, S. N., Kerchberger, V. E., Moore, A. R., Maddali, M. V., Kangelaris, K. N., Hendrickson, C. M., Evrard, B., Liu, K. D., Bastarache, J. A., et al. (2025) · Critical Care · doi:10.1186/s13054-025-05613-2 · Cited by 1

Interpretable machine learning model for predicting myocardial injury in intensive care unit patients using SHapley Additive exPlanations analysis

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