Cited by 233Statistical Methods and Bayesian InferenceStatistical Methods in EpidemiologyAdvanced Causal Inference Techniques

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome

Ambler, Gareth, Omar, Rumana Z, Royston, Patrick·2007·Statistical Methods in Medical Research

DOI 10.1177/0962280206074466

Open this paper in CoChat — free account

Abstract

Risk models that aim to predict the future course and outcome of disease processes are increasingly used in health research, and it is important that they are accurate and reliable. Most of these risk models are fitted using routinely collected data in hospitals or general practices. Clinical outcomes such as short-term mortality will be near-complete, but many of the predictors may have missing values. A common approach to dealing with this is to perform a complete-case analysis. However, this may lead to overfitted models and biased estimates if entire patient subgroups are excluded. The aim of this paper is to investigate a number of methods for imputing missing data to evaluate their effect on risk model estimation and the reliability of the predictions. Multiple imputation methods, including hotdecking and multiple imputation by chained equations (MICE), were investigated along with several single imputation methods. A large national cardiac surgery database was used to create simulated yet realistic datasets. The results suggest that complete case analysis may produce unreliable risk predictions and should be avoided. Conditional mean imputation performed well in our scenario, but may not be appropriate if using variable selection methods. MICE was amongst the best performing multiple imputation methods with regards to the quality of the predictions. Additionally, it produced the least biased estimates, with good coverage, and hence is recommended for use in practice.

Integrity signals

Registry

Crossref · 10.1177/0962280206074466

Cites

39 of 39 references verified0 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?

Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
A simulation study of the number of events per variable in logistic regression analysis
Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00236-3 · Cited by 9,655
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Regression Modeling Strategies
Harrell, F. E. (2001) · Springer series in statistics · doi:10.1007/978-1-4757-3462-1 · Cited by 9,270
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Harrell (2015) · Springer Series in Statistics · doi:10.1007/978-3-319-19425-7 · Cited by 6,878
Journal of The American Statistical Association
Fienberg, S. E. (2004) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess1317 · Cited by 6,289
The APACHE III Prognostic System
Knaus, W. A., Wagner, D. P., Draper, E. A., Zimmerman, J. E., Bergner, M., BASTOS, P. G., Sirio, C., Murphy, D. J., Lotring, T., Damiano, A., et al. (1991) · CHEST Journal · doi:10.1378/chest.100.6.1619 · Cited by 3,539
European system for cardiac operative risk evaluation (EuroSCORE)
Nashef, S. A. M., Roques, F., Michel, P., Gauducheau, E., Lemeshow, S., & Salamon, R. (1999) · European Journal of Cardio-Thoracic Surgery · doi:10.1016/s1010-7940(99)00134-7 · Cited by 3,362
The APACHE III Prognostic System
Teres, D., & Lemeshow, S. A. (1992) · CHEST Journal · doi:10.1378/chest.102.6.1919b · Cited by 2,896

Show all 39 references

Research works printed but not linked: 7

Rosen AK, 2003, Insights, 4, 1
Mander A., 2000, Stata Technical Bulletin, 9, 199
Allison PD, 2001, Missing data
Fay RE, Proceedings of the Survey Research Methods Sections
Keogh B., 2002, Systems
Berrisford R., 2005, Surgery, 28, 306
O'Sullivan C., 2005, British Journal of General Practice, 55, 529

Sorted by citations

Missing data imputation using statistical and machine learning methods in a real breast cancer problem
Jerez, J. M., Molina, I., García-Laencina, P. J., Alba, E., Ribelles, N., Martín, M., & Franco, L. (2010) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2010.05.002 · Cited by 608
The Effect of Multidisciplinary Care Teams on Intensive Care Unit Mortality
Kim, M. M., Barnato, A. E., Angus, D. C., Fleisher, L., & Kahn, J. M. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.521 · Cited by 531
Inflammatory Markers and Incident Heart Failure Risk in Older Adults
Kalogeropoulos, A., Georgiopoulou, V., Psaty, B. M., Rodondi, N., Smith, A. L., Harrison, D. G., Liu, Y., Hoffmann, U., Bauer, D. C., Newman, A. B., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.12.045 · Cited by 478
Imputation of missing data in life‐history trait datasets: which approach performs the best?
Penone, C., Davidson, A. D., Shoemaker, K. T., Marco, M. D., Rondinini, C., Brooks, T. M., Young, B. E., Graham, C. H., & Costa, G. C. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12232 · Cited by 452
Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology
Gerry, S., Bonnici, T., Birks, J., Kirtley, S., Virdee, P. S., Watkinson, P., & Collins, P. G. S. (2020) · BMJ · doi:10.1136/bmj.m1501 · Cited by 415
A predictive model for local recurrence after transanal endoscopic microsurgery for rectal cancer
Bach, S. P., Hill, J., Monson, J. R. T., Simson, J. N. L., Lane, L., Merrie, A. E. H., Warren, B. F., & Mortensen, N. J. M. (2009) · British journal of surgery · doi:10.1002/bjs.6456 · Cited by 371
Risk factors for relapse of antineutrophil cytoplasmic antibody–associated vasculitis
Walsh, M. W., Floßmann, O., Berden, A. E., Westman, K. W. A., Höglund, P., Stegeman, C. A., Jayne, D. R. W., & European Vasculitis Study Group (2011) · Arthritis & Rheumatism · doi:10.1002/art.33361 · Cited by 365
Association Between Depression and Functional Vision Loss in Persons 20 Years of Age or Older in the United States, NHANES 2005-2008
Zhang, X., Bullard, K. M., Cotch, M. F., Wilson, M. R., Rovner, B. W., McGwin, G., Owsley, C. J., Barker, L. E., Crews, J. E., & SAADDINE, J. B. (2013) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2013.2597 · Cited by 294
Hematologic Manifestations and Predictors of Lymphoma Development in Primary Sjögren Syndrome
Baimpa, E., Dahabreh, I. J., Voulgarelis, M., & Moutsopoulos, H. Μ. (2009) · Medicine · doi:10.1097/md.0b013e3181b76ab5 · Cited by 274
Mental Health Difficulties in Children With Developmental Coordination Disorder
Lingam, R., Jongmans, M. J., Ellis, M., Hunt, L. P., Golding, J., & Emond, A. M. (2012) · PEDIATRICS · doi:10.1542/peds.2011-1556 · Cited by 232
Frailty and risk for heart failure in older adults: The health, aging, and body composition study
Khan, H., Kalogeropoulos, A. P., Georgiopoulou, V. V., Newman, A. B., Harris, T. B., Rodondi, N., Bauer, D. C., Kritchevsky, S. B., & Butler, J. (2013) · American Heart Journal · doi:10.1016/j.ahj.2013.07.032 · Cited by 217
Personality, Socioeconomic Status, and All-Cause Mortality in the United States
Chapman, B. P., Fiscella, K., Kawachi, I., & Duberstein, P. R. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp323 · Cited by 198
Missing Data and Multiple Imputation
Cummings, P. (2013) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2013.1329 · Cited by 189
Missing data methods for arbitrary missingness with small samples
McNeish, D. (2017) · Journal of Applied Statistics · doi:10.1080/02664763.2016.1158246 · Cited by 189
Perioperative Outcomes among Patients with the Modified Metabolic Syndrome Who Are Undergoing Noncardiac Surgery
Glance, L. G., Wissler, R. N., Mukamel, D. B., Li, Y., Diachun, C. A. B., Salloum, R. M., Fleming, F. J., & Dick, A. W. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181eff32e · Cited by 185
Surgeon Specialty and Long-Term Survival After Pulmonary Resection for Lung Cancer
Farjah, F., Flum, D. R., Varghese, T. K., Symons, R. G., & Wood, D. E. (2009) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2008.12.030 · Cited by 175
Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research
Hardt, J., Herke, M., & Leonhart, R. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-184 · Cited by 169
Multiple imputation in a large-scale complex survey: a practical guide
He, Y., Zaslavsky, A. M., Landrum, M., Harrington, D. P., & Catalano, P. J. (2009) · Statistical Methods in Medical Research · doi:10.1177/0962280208101273 · Cited by 168
Population prevalence of edentulism and its association with depression and self-rated health
Tyrovolas, S., Koyanagi, A., Panagiotakos, D. B., Haro, J. M., Kassebaum, N. J., Chrepa, V., & Kotsakis, G. A. (2016) · Scientific Reports · doi:10.1038/srep37083 · Cited by 174
Multiple imputation of missing repeated outcome measurements did not add to linear mixed-effects models
Peters, S. A. E., Bots, M. L., den Ruijter, H. M., Palmer, M. K., Grobbee, D. E., Crouse, J. R., O’Leary, D. H., Evans, G. W., Raichlen, J. S., Moons, K. G. M., et al. (2012) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2011.11.012 · Cited by 165
Return to Work in Out-of-Hospital Cardiac Arrest Survivors
Kragholm, K. H., Wissenberg, M., Mortensen, R. N., Fonager, K., Jensen, S. E., Rajan, S., Lippert, F. K., Christensen, E. F., Hansen, P. A., Lang-Jensen, T., et al. (2015) · Circulation · doi:10.1161/circulationaha.114.011366 · Cited by 161
The Association Between Developmental Coordination Disorder and Other Developmental Traits
Lingam, R., Golding, J., Jongmans, M. J., Hunt, L. P., Ellis, M., & Emond, A. M. (2010) · PEDIATRICS · doi:10.1542/peds.2009-2789 · Cited by 172
Sternal wound infection after cardiac surgery: incidence and risk factors according to clinical presentation
Lemaignen, A., Birgand, G., Ghodhbane, W., Alkhoder, S., Lolom, I., Belorgey, S., Lescure, F.-X., Armand-Lefèvre, L., Raffoul, R., Dilly, M., et al. (2015) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2015.03.025 · Cited by 156
THE GOLDEN AGE : MASA EFEKTIF MERANCANG KUALITAS ANAK
Uce, L. (2017) · Bunayya Jurnal Pendidikan Anak · doi:10.22373/bunayya.v1i2.1322 · Cited by 191
Exploratory Factor Analysis With Small Samples and Missing Data
McNeish, D. (2016) · Journal of Personality Assessment · doi:10.1080/00223891.2016.1252382 · Cited by 152
A Food Store–Based Environmental Intervention Is Associated with Reduced BMI and Improved Psychosocial Factors and Food-Related Behaviors on the Navajo Nation
Gittelsohn, J., Kim, E. M., He, S., & Pardilla, M. (2013) · Journal of Nutrition · doi:10.3945/jn.112.165266 · Cited by 122
Standard versus bicaval techniques for orthotopic heart transplantation: An analysis of the United Network for Organ Sharing database
Davies, R. R., Russo, M. J., Morgan, J. A., Sorabella, R. A., Naka, Y., & Chen, J. M. (2010) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2010.04.029 · Cited by 116
Survival after out-of-hospital cardiac arrest in relation to sex: A nationwide registry-based study
Wissenberg, M., Hansen, C. M., Folke, F., Lippert, F. K., Weeke, P. E., Karlsson, L., Rajan, S., Søndergaard, K. B., Kragholm, K. H., Christensen, E. F., et al. (2014) · Resuscitation · doi:10.1016/j.resuscitation.2014.06.008 · Cited by 115
MICE vs PPCA: Missing data imputation in healthcare
Hegde, H., Shimpi, N. A., Panny, A., Glurich, I., Christie, P., & Acharya, A. (2019) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2019.100275 · Cited by 100
Stalk Bending Strength is Strongly Associated with Maize Stalk Lodging Incidence Across Multiple Environments
Sekhon, R. S., Joyner, C. N., Ackerman, A. J., McMahan, C. S., Cook, D. D., & Robertson, D. J. (2020) · Field Crops Research · doi:10.1016/j.fcr.2020.107737 · Cited by 98
Key steps and common pitfalls in developing and validating risk models
Wynants, L., Collins, P. G. S., & CALSTER, B. V. (2016) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.14170 · Cited by 99
Nicotinic acetylcholine receptor variation and response to smoking cessation therapies
Bergen, A. W., Javitz, H. S., Krasnow, R. E., Nishita, D., Michel, M., Conti, D. V., Liu, J., Lee, W., Edlund, C. K., Hall, S. M., et al. (2012) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e32835cdabd · Cited by 92
Association of water temperature and submersion duration and drowning outcome
Quan, L., Mack, C. D., & Schiff, M. A. (2014) · Resuscitation · doi:10.1016/j.resuscitation.2014.02.024 · Cited by 89
Systolic blood pressure and incident heart failure in the elderly. The Cardiovascular Health Study and the Health, Ageing and Body Composition Study
Butler, J., Kalogeropoulos, A. P., Georgiopoulou, V. V., Bibbins-Domingo, K. B., Najjar, S. S., Sutton‐Tyrrell, K., Harris, T. B., Kritchevsky, S. B., Lloyd‐Jones, D. M., Newman, A. B., et al. (2011) · Heart · doi:10.1136/hrt.2011.225482 · Cited by 90
Risk factors for childhood enteric infection in urban Maputo, Mozambique: A cross-sectional study
Knee, J., Sumner, T., Adriano, Z., Berendes, D. M., de Bruijn, E., Schmidt, W., Nalá, R., Cumming, O., & Brown, J. M. (2018) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0006956 · Cited by 87
Serum Resistin Concentrations and Risk of New Onset Heart Failure in Older Persons
Butler, J., Kalogeropoulos, A. P., Georgiopoulou, V. V., de Rekeneire, N., Rodondi, N., Smith, A. L., Hoffmann, U., Kanaya, A. M., Newman, A. B., Kritchevsky, S. B., et al. (2009) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.109.186783 · Cited by 88
Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry
Goyal, A., Ngufor, C. G., Kerezoudis, P., McCutcheon, B. A., Storlie, C. B., & Bydon, M. (2019) · Journal of Neurosurgery Spine · doi:10.3171/2019.3.spine181367 · Cited by 80
Understanding Patterns of Service Utilization Among Informal Caregivers of Community Older Adults
Hong, S.-I. (2009) · The Gerontologist · doi:10.1093/geront/gnp105 · Cited by 80
The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data
Wood, A. M., Royston, P., & White, I. R. (2015) · Biometrical Journal · doi:10.1002/bimj.201400004 · Cited by 78
Comparison of methods for handling missing data on immunohistochemical markers in survival analysis of breast cancer
Ali, A. M., Dawson, S.-J., Blows, F. M., Provenzano, E., Ellis, I. O., Baglietto, L., Huntsman, D. D., Caldas, C., & Pharoah, P. D. P. (2011) · British Journal of Cancer · doi:10.1038/sj.bjc.6606078 · Cited by 75
Structural and Cultural Barriers to the Adoption of Smoking Cessation Services in Addiction Treatment Organizations
Knudsen, H. K., Studts, J. L., Boyd, S., & Roman, P. M. (2010) · Journal of Addictive Diseases · doi:10.1080/10550887.2010.489446 · Cited by 73
Impact of Statistical Approaches for Handling Missing Data on Trauma Center Quality
Glance, L. G., Osler, T., Mukamel, D., Meredith, W., & Dick, A. (2009) · Annals of Surgery · doi:10.1097/sla.0b013e31818e544b · Cited by 70
Risk Prediction Scores for Recurrence and Progression of Non-Muscle Invasive Bladder Cancer: An International Validation in Primary Tumours
Vedder, M. M., Márquez, M., de Bekker-Grob, E. W., Calle, M. L., Dyrskjøt, L., Kogevinas, M., Segersten, U., Malmström, P., Ferran Algaba, B., Beukers, W., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096849 · Cited by 67
Length of Hospital Stay and 30-Day Readmission Following Heart Failure Hospitalization: Insights from the EVEREST Trial
Khan, H., Greene, S. J., Fonarow, G. C., Kalogeropoulos, A. P., Ambrosy, A. P., Maggioni, A. P., Zannad, F. M., Konstam, M. A., Swedberg, K. B., Yancy, C. W., et al. (2015) · European Journal of Heart Failure · doi:10.1002/ejhf.282 · Cited by 66
Diabetes Mellitus: A Risk Factor for Delayed Graft Function after Deceased Donor Kidney Transplantation
Parekh, J. R., Bostrom, A., & Feng, S. (2010) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2009.02936.x · Cited by 66
Clinical and Laboratory Predictors of Distinct Histopathogical Features of Lupus Nephritis
Mavragani, C. P., Fragoulis, G. E., Somarakis, G., Drosos, A. A., Tzioufas, A. G., & Moutsopoulos, H. Μ. (2015) · Medicine · doi:10.1097/md.0000000000000829 · Cited by 63
Health of Elderly Mexican American Adults and Family Caregiver Distress
Rote, S. M., Angel, J. L., & Markides, K. S. (2014) · Research on Aging · doi:10.1177/0164027514531028 · Cited by 60
The Vermont Diabetes Information System: A Cluster Randomized Trial of a Population Based Decision Support System
MacLean, C. D., Gagnon, M., CALLAS, P. W., & Littenberg, B. (2009) · Journal of General Internal Medicine · doi:10.1007/s11606-009-1147-x · Cited by 56
Internal Migration and Life Satisfaction: Well-Being Paths of Young Adult Migrants
Switek, M. (2014) · Social Indicators Research · doi:10.1007/s11205-014-0829-x · Cited by 57
ABO-incompatible deceased donor liver transplantation in the United States: A national registry analysis
Stewart, Z. A., Locke, J. E., Montgomery, R. A., Singer, A. L., Cameron, A. M., & Segev, D. L. (2009) · Liver Transplantation · doi:10.1002/lt.21723 · Cited by 57
Religious Attendance and Biological Functioning
Hill, T. D., Rote, S. M., Ellison, C. G., & Burdette, A. M. (2014) · Journal of Aging and Health · doi:10.1177/0898264314529333 · Cited by 58
Interacting effects of particulate pollution and cold temperature on cardiorespiratory mortality in Scotland
Carder, M., McNamee, R., Beverland, I. J., Elton, R. A., van Tongeren, M., Cohen, G. R., Boyd, J., MacNee, W., & Agius, R. M. (2007) · Occupational and Environmental Medicine · doi:10.1136/oem.2007.032896 · Cited by 58
A cautionary case study of approaches to the treatment of missing data
Paul, C., Mason, W., McCaffrey, D., & Fox, S. (2008) · Stat. Methods Appl. · doi:10.1007/s10260-007-0090-4 · Cited by 48
Asymptomatic Rotavirus Infections in England: Prevalence, Characteristics, and Risk Factors
Phillips, G., Lopman, B. A., Rodrigues, L. C., & Tam, C. C. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq050 · Cited by 53
Verified Centers, Nonverified Centers, or Other Facilities: A National Analysis of Burn Patient Treatment Location
Zonies, D. H., Mack, C. D., Kramer, B. R., Rivara, F. P., & Klein, M. B. (2010) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2009.11.008 · Cited by 52
Ventricular assist devices as a bridge-to-transplant improve early post-transplant outcomes in children
Davies, R. R., Haldeman, S., McCulloch, M. A., & Pizarro, C. (2014) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2014.02.010 · Cited by 52
Modeling major lung resection outcomes using classification trees and multiple imputation techniques
Ferguson, M. K., Siddique, J., & Karrison, T. G. (2008) · European Journal of Cardio-Thoracic Surgery · doi:10.1016/j.ejcts.2008.07.037 · Cited by 51
Risk-Adjusted Pathologic Margin Positivity Rate As a Quality Indicator in Rectal Cancer Surgery
Massarweh, N. N., Hu, C., You, Y. N., Bednarski, B. K., Rodríguez-Bigas, M. A., Skibber, J. M., Cantor, S. B., Cormier, J. N., Feig, B. W., & Chang, G. J. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2014.55.5334 · Cited by 49
Work stress and work ability: cross-sectional findings from the German sociomedical panel of employees
Bethge, M., Radoschewski, F., & Müller-Fahrnow, W. (2009) · Disability and Rehabilitation · doi:10.1080/09638280902751949 · Cited by 54
The implementation of tobacco-related brief interventions in substance abuse treatment: A national study of counselors
Knudsen, H. K., & Studts, J. (2010) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2009.12.002 · Cited by 50
Transcending data gaps: a framework to reduce inferential errors in ecological analyses
Kim, S. W., Blomberg, S. P., & Pandolfi, J. M. (2018) · Ecology Letters · doi:10.1111/ele.13089 · Cited by 46
Low Somatosensory Cortex Excitability in the Acute Stage of Low Back Pain Causes Chronic Pain
Jenkins, L. C., Chang, W., Buscemi, V., Liston, M. B., Skippen, P., Cashin, A. G., McAuley, J. H., & Schabrun, S. M. (2021) · Journal of Pain · doi:10.1016/j.jpain.2021.08.003 · Cited by 45
Uso da imputação múltipla de dados faltantes: uma simulação utilizando dados epidemiológicos
Nunes, L. N., Klück, M. M., & Fachel, J. M. G. (2009) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2009000200005 · Cited by 44
Donor organ turn-downs and outcomes after listing for pediatric heart transplant
Davies, R. R., Bano, M., Butts, R. J., Jaquiss, R. D. B., & Kirk, R. (2018) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2018.09.026 · Cited by 43
Prolonged continuous-flow left ventricular assist device support and posttransplantation outcomes: A new challenge
Fukuhara, S., Takeda, K., Polanco, A. R., Takayama, H., & Naka, Y. (2015) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2015.10.024 · Cited by 40
Prognostic Value of BNP Reduction During Hospitalization in Patients With Acute Heart Failure
Kagiyama, N., Kitai, T., Hayashida, A., Yamaguchi, T., Okumura, T., Kida, K., Mizuno, A., Oishi, S., Inuzuka, Y., Akiyama, E., et al. (2019) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2019.04.004 · Cited by 40
Multiple Imputation of Missing Data: A Simulation Study on a Binary Response
Hardt, J., Herke, M., Brian, T., & Laubach, W. (2013) · Open Journal of Statistics · doi:10.4236/ojs.2013.35043 · Cited by 48
Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology
Bertolini, R., Finch, S. J., & Nehm, R. H. (2021) · Journal of Science Education and Technology · doi:10.1007/s10956-020-09888-8 · Cited by 44
Screening Stress Myocardial Perfusion Imaging and Eligibility for Liver Transplantation
Bradley, S. M., Soine, L. A., Caldwell, J. H., & Goldberg, S. L. (2010) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.11.023 · Cited by 39
Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study
Biccler, J. L., Eloranta, S., Brown, P. D. N., Frederiksen, H., Jerkeman, M., Jørgensen, J. M., Jakobsen, L. H., Smedby, K. E. E., Bøgsted, M., & El‐Galaly, T. C. (2018) · JCO Clinical Cancer Informatics · doi:10.1200/cci.18.00025 · Cited by 39
The ghost fruits of Madagascar: Identifying dysfunctional seed dispersal in Madagascar's endemic flora
Albert‐Daviaud, A., Buerki, S., Onjalalaina, G. E., Perillo, S., Rabarijaona, R. N., Razafindratsima, O. H., Sato, H., Valenta, K., Wright, P. C., & Stuppy, W. (2020) · Biological Conservation · doi:10.1016/j.biocon.2020.108438 · Cited by 37
The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis
Giorgi, R., Belot, A., Gaudart, J., & Launoy, G. D. (2008) · Statistics in Medicine · doi:10.1002/sim.3476 · Cited by 37
Prognostic impact of lead tip position confirmed via computed tomography in patients with right ventricular septal pacing
Hattori, M., Naruse, Y., Oginosawa, Y., Matsue, Y., Hanaki, Y., Kowase, S., Kurosaki, K., Mizukami, A., Kohno, R., Abe, H., et al. (2019) · Heart Rhythm · doi:10.1016/j.hrthm.2019.01.008 · Cited by 35
Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality
Rendleman, M. C., Buatti, J. M., Braun, T. A., Smith, B. J., Nwakama, C., Beichel, R., Brown, B., & Casavant, T. L. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2929-8 · Cited by 33
The search for stable prognostic models in multiple imputed data sets
Vergouw, D., Heymans, M. W., Peat, G., Kuijpers, T., Croft, P. R., de Vet, H. C. W., van der Horst, H. E., & van der Windt, D. (2010) · BMC Medical Research Methodology · doi:10.1186/1471-2288-10-81 · Cited by 34
Sustainment of smoking cessation programs in substance use disorder treatment organizations.
Knudsen, H. K., Muilenburg, J., & Eby, L. (2013) · Nicotine & Tobacco Research · doi:10.1093/ntr/nts242 · Cited by 34
Prognostic factors in adults with knee pain in general practice
Belo, J. N., Berger, M. Y., Koes, B. W., & Bierma-Zeinstra, S. (2009) · Arthritis Care & Research · doi:10.1002/art.24419 · Cited by 32
Health Care Utilization Among Surgically Treated Medicare Beneficiaries With Lung Cancer
Farjah, F., Wood, D. E., Varghese, T. K., Massarweh, N. N., Symons, R. G., & Flum, D. R. (2009) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2009.08.006 · Cited by 31
Perceptions of the State Policy Environment and Adoption of Medications in the Treatment of Substance Use Disorders
Knudsen, H. K., & Abraham, A. J. (2012) · Psychiatric Services · doi:10.1176/appi.ps.201100034 · Cited by 30
Childhood risk factors for offending before first psychiatric admission for people with schizophrenia: a case–control study of high security hospital admissions
Jones, R. M., van den Bree, M. B. M., Ferriter, M., & Taylor, P. J. (2009) · Behavioral Sciences & the Law · doi:10.1002/bsl.885 · Cited by 29
Diurnal variations in incidence and outcome of out-of-hospital cardiac arrest including prior comorbidity and pharmacotherapy: A nationwide study in Denmark
Karlsson, L., Wissenberg, M., Fosbøl, E. L., Hansen, C. M., Lippert, F. K., Bagai, A., McNally, B., Granger, C. B., Christensen, E. F., Folke, F., et al. (2014) · Resuscitation · doi:10.1016/j.resuscitation.2014.06.012 · Cited by 30
Predictors of Adverse Smoking Outcomes in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial
Barry, S., Tammemägi, M. C., Penek, S., Kassan, E. C., Dorfman, C. S., Riley, T. L., Commin, J., & Taylor, K. L. (2012) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs398 · Cited by 29
CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?
Karhade, A. V., & Schwab, J. H. (2020) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000001367 · Cited by 29
Perceived Accessibility of Cigarettes Among Youth
Doubeni, C. A., Li, W., Fouayzi, H., & DiFranza, J. R. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.11.006 · Cited by 29
Intravenous Access During Out-of-Hospital Emergency Care of Noninjured Patients: A Population-Based Outcome Study
Seymour, C. W., Cooke, C. R., Hebert, P. L., & Rea, T. D. (2011) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2011.07.021 · Cited by 29
Seed dispersal syndromes in the Madagascan flora: the unusual importance of primates
Albert‐Daviaud, A., Perillo, S., & Stuppy, W. (2018) · Oryx · doi:10.1017/s0030605317001600 · Cited by 29
Predicting Mortality of Ruptured Abdominal Aortic Aneurysms in the Era of Endovascular Repair
Healey, C., Neilson, M., Clark, D. E., Schanzer, A. S., & Robinson, W. P. (2016) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2016.09.006 · Cited by 28
Very Early Diuretic Response After Admission for Acute Heart Failure
Kuroda, S., Damman, K., ter Maaten, J. M., Voors, A. A., Okumura, T., Kida, K., Oishi, S., Akiyama, E., Suzuki, S., Yamamoto, M., et al. (2018) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2018.09.004 · Cited by 28
UniMóvil: A Mobile Health Clinic Providing Primary Care to the Colonias of the Rio Grande Valley, South Texas
Manusov, E. G., Diego, V. P., Smith, J., Garza, J. R., Lowdermilk, J., Blangero, J., Williams‐Blangero, S., & Fernandez, F. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00215 · Cited by 28
Latent class analysis identified phenotypes in individuals with schizophrenia spectrum disorder who engage in aggressive behaviour towards others
Lau, S., Günther, M. P., Kling, S., & Kirchebner, J. (2019) · European Psychiatry · doi:10.1016/j.eurpsy.2019.05.005 · Cited by 27
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty
Nagarajan, G., & Babu, L. D. D. (2021) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2021.102214 · Cited by 26
Organic Cation Transporter Variation and Response to Smoking Cessation Therapies
Bergen, A. W., Javitz, H. S., Krasnow, R. E., Michel, M., Nishita, D., Conti, D. V., Edlund, C. K., Kwok, P., McClure, J. B., Kim, R. B., et al. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu161 · Cited by 27
Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability
Charlton, C. E., Poon, M. T. C., Brennan, P. M., & Fleuriot, J. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107482 · Cited by 28
On the Performance of Sequential Regression Multiple Imputation Methods with Non Normal Error Distributions
He, Y., & Raghunathan, T. E. (2009) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610910802677191 · Cited by 25
Urgent listing exceptions and outcomes in pediatric heart transplantation: Comparison to standard criteria patients
Davies, R. R., McCulloch, M. A., Haldeman, S., Gidding, S. S., & Pizarro, C. (2016) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2016.09.007 · Cited by 25
Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL)
Gade, G. V., Jørgensen, M. G., Ryg, J., Masud, T., Jakobsen, L. H., & Andersen, S. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02346-z · Cited by 27
Low body mass index is associated with increased waitlist mortality among children listed for heart transplant
Davies, R. R., Haldeman, S., McCulloch, M. A., Gidding, S. S., & Pizarro, C. (2015) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2015.05.023 · Cited by 24
Distributed Based Serial Regression Multiple Imputation for High Dimensional Multivariate Data in Multicore Environment of Cloud
Lavanya, K., V, Reddy, L. S. S., & Reddy, B. E. (2019) · International Journal of Ambient Computing and Intelligence · doi:10.4018/ijaci.2019040105 · Cited by 23
The impact of missing trauma data on predicting massive transfusion
Trickey, A. W., Fox, E. E., del Junco, D. J., Ning, J., Holcomb, J. B., Brasel, K. J., Cohen, M. J. M., Schreiber, M. A., Bulger, E. M., Phelan, H. A., et al. (2013) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e3182914530 · Cited by 24
The Quality Metric Prolonged Length of Stay Misses Clinically Important Adverse Events
Farjah, F., Lou, F., Rusch, V. W., & Rizk, N. P. (2012) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2012.04.082 · Cited by 23

Authors: Ambler, G., Omar, R. Z., & Royston, P.
Affiliations: UCL Biomedical Research Centre (GB)
MRC Clinical Trials Unit at UCL (GB)
Corresponding author: Ambler, Gareth
ORCID: Ambler, Gareth
Omar, Rumana Z
Royston, Patrick
Venue: Statistical Methods in Medical Research
Publisher: SAGE Publications
Published: 2007-06
Volume: 16
Issue: 3
Pages: 277-298
ISSN: 0962-2802 (ISSN-L)
1477-0334
DOI: 10.1177/0962280206074466
OpenAlex: W1965973862
Cited by: 233
References: 39
Citations by year: 2026: 5 · 2025: 8 · 2024: 9 · 2023: 10 · 2022: 6 · 2021: 15 · 2020: 12 · 2019: 13 · 2018: 11 · 2017: 8 · 2016: 11 · 2015: 14 · 2014: 14 · 2013: 12 · 2012: 19
FWCI: 15.72
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Statistical Methods in Medical Research (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords: missing data imputation, risk prediction model, binary outcomes, multiple imputation, multiple imputation by chained equations, single imputation, complete case analysis, cardiac surgery, mortality prediction, forecast reliability, estimation bias
MeSH terms: Aged, Female, United Kingdom, Humans, Male, Middle Aged, Thoracic Surgery, Models, Statistical, Bias, Risk Assessment

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

A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome

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