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Multiple Imputation by Chained Equations (MICE): Implementation in Stata
Open accessAbstract
Missing data are a common occurrence in real datasets. For epidemiological and prognostic factors studies in medicine, multiple imputation is becoming the standard route to estimating models with missing covariate data under a missing-at-random assumption. We describe ice, an implementation in Stata of the MICE approach to multiple imputation. Real data from an observational study in ovarian cancer are used to illustrate the most important of the many options available with ice. We remark briefly on the new database architecture and procedures for multiple imputation introduced in releases 11 and 12 of Stata.
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“We used multiple imputation to deal with potential missing data biases, imputing 20 complete data sets using chained equations [50].”
From Electronic media use and academic performance in late childhood: A longitudinal study (2020) · cites this paper as [50]
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Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
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
Self-citationSterne, 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
Self-citationAnalysis of Incomplete Multivariate Data
Booth, D. E., & Schafer, J. L. (2000) · Technometrics · doi:10.2307/1271466 · Cited by 5,627
Schafer, J. L. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800102 · Cited by 3,949
Multiple imputation of discrete and continuous data by fully conditional specification
van Buuren, S. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206074463 · Cited by 2,827
Multiple Imputation of Missing Values
Royston, P. (2004) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0400400301 · Cited by 2,340 · cited 4×
“As described by Royston (2005b), to satisfy the normality assumption for a continuous variable, a transformation toward normality may be effective.”
BackgroundMethodInfluentialSelf-citationMultiple Imputation of Missing Values: Update
Royston, P. (2005) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0500500204 · Cited by 1,683
Self-citationFully conditional specification in multivariate imputation
Van Buuren, S., Brand, J. P. L., Groothuis-Oudshoorn, C. G. M., & Rubin, D. B. (2006) · Journal of Statistical Computation and Simulation · doi:10.1080/10629360600810434 · Cited by 1,217
Multiple Imputation of Missing Values: Update of Ice
Royston, P. J. (2005) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0500500404 · Cited by 1,038
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mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
“The ice software (Royston 2004, 2005; Royston and White 2011) is a widely used implementation in Stata.”
MethodPrincipled missing data methods for researchers
Dong, Y., & Peng, C.-Y. J. (2013) · SpringerPlus · doi:10.1186/2193-1801-2-222 · Cited by 2,208
Paul, E., Steptoe, A., & Fancourt, D. E. (2020) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2020.100012 · Cited by 1,014
Accounting for missing data in statistical analyses: multiple imputation is not always the answer
Hughes, R. A., Heron, J., Sterne, J. A. C., & Tilling, K. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyz032 · Cited by 802
Mars, B., Heron, J., Klonsky, E. D., Moran, P., O'Connor, R. C., Tilling, K., Wilkinson, P., & Gunnell, D. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30030-6 · Cited by 546
Household availability of ultra-processed foods and obesity in nineteen European countries
Monteiro, C. A., Moubarac, J., Levy, R. B., Canella, D. S., Louzada, M. L. D. C., & Cannon, G. (2017) · Public Health Nutrition · doi:10.1017/s1368980017001379 · Cited by 608
Mental health before and during the COVID-19 pandemic in two longitudinal UK population cohorts
Kwong, A. S. F., Pearson, R. M., Adams, M. J., Northstone, K., Tilling, K. M., Major‐Smith, D., Fawns‐Ritchie, C., Bould, H., Warne, N., Zammit, S., et al. (2020) · The British Journal of Psychiatry · doi:10.1192/bjp.2020.242 · Cited by 543
Comparison of performance of data imputation methods for numeric dataset
Jadhav, A., Pramod, D., & Ramanathan, K. (2019) · Applied Artificial Intelligence · doi:10.1080/08839514.2019.1637138 · Cited by 471
Bootstrap inference when using multiple imputation
Schomaker, M., & Heumann, C. (2018) · Statistics in Medicine · doi:10.1002/sim.7654 · Cited by 495
Longevity and mortality of owned dogs in England
O'Neill, D. G., Church, D. B., McGreevy, P. D., Thomson, P. C., & Brodbelt, D. C. (2013) · The Veterinary Journal · doi:10.1016/j.tvjl.2013.09.020 · Cited by 327
Katikireddi, S. V., Whitley, E., Lewsey, J., Gray, L., & Leyland, A. H. (2017) · The Lancet Public Health · doi:10.1016/s2468-2667(17)30078-6 · Cited by 320
Clinical and social outcomes of adolescent self harm: population based birth cohort study
Mars, B., Heron, J., Crane, C., Hawton, K., Lewis, G., Macleod, J., Tilling, K., & Gunnell, D. (2014) · BMJ · doi:10.1136/bmj.g5954 · Cited by 311
Kingston, A., Comas-Herrera, A., & Jagger, C. (2018) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30118-x · Cited by 287
Sarkisian, N., & Gerstel, N. R. (2015) · Journal of Social and Personal Relationships · doi:10.1177/0265407515597564 · Cited by 260
Roman-Urrestarazu, A., van Kessel, R., Allison, C., Matthews, F. E., Brayne, C., & Baron-Cohen, S. (2021) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2021.0054 · Cited by 242
Pain Trends Among American Adults, 2002–2018: Patterns, Disparities, and Correlates
Zajacova, A., Grol-Prokopczyk, H., & Zimmer, Z. (2021) · Demography · doi:10.1215/00703370-8977691 · Cited by 224
Nguyen, Q. C., Osypuk, T. L., Schmidt, N. M., Glymour, M. M., & Tchetgen, E. J. T. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu278 · Cited by 223
Reporting the Use of Multiple Imputation for Missing Data in Higher Education Research
Manly, C. A., & Wells, R. S. (2015) · Research in Higher Education · doi:10.1007/s11162-014-9344-9 · Cited by 210
Lassale, C. M., Gaye, B., Hamer, M., Galé, C. R., & Batty, G. D. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.05.074 · Cited by 205
Fiol-deRoque, M. A., Serrano-Ripoll, M. J., Jiménez, R., Zamanillo‐Campos, R., Yáñez, A. M., Bennasar‐Veny, M., Leiva, A., Gervilla, E., Buades, E. G., Garcı́a-Toro, M., et al. (2021) · JMIR mhealth and uhealth · doi:10.2196/27039 · Cited by 203
Survival Benefit of Breast Surgery for Low-Grade Ductal Carcinoma In Situ
Sagara, Y., Mallory, M. A., Wong, S. M., Aydoğan, F., Desantis, S. D., Barry, W. T., & Golshan, M. A. (2015) · JAMA Surgery · doi:10.1001/jamasurg.2015.0876 · Cited by 190
Mars, B., Heron, J., Crane, C., Hawton, K. E., Kidger, J., Lewis, G., Macleod, J., Tilling, K. M., & Gunnell, D. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.07.009 · Cited by 206
Gülöksüz, S., Pries, L.-K., Delespaul, P., Kenis, G., Luykx, J. J., Lin, B. D., Richards, A. L., Akdede, B. B., Binbay, T., Altınyazar, V., et al. (2019) · World Psychiatry · doi:10.1002/wps.20629 · Cited by 189
Castelló, A., Pollán, M., Buijsse, B., Ruiz, A., Casas, A. M., Baena-Cañada, J. M., Lope, V, Antolín, S., Ramos, M., Muñoz, M., et al. (2014) · British Journal of Cancer · doi:10.1038/bjc.2014.434 · Cited by 182
State of the Multiple Imputation Software
Yucel, R. M. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i01 · Cited by 177
Clarity of Responsibility, Accountability, and Corruption
Schwindt‐Bayer, L. A., & Tavits, M. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781316412404 · Cited by 179
Vitiello, M. V., McCurry, S. M., Shortreed, S. M., Baker, L. D., Rybarczyk, B. D., Keefe, F. J., & Von Korff, M. (2014) · Pain · doi:10.1016/j.pain.2014.04.032 · Cited by 171
Women’s Representation, Accountability and Corruption in Democracies
Esarey, J., & Schwindt‐Bayer, L. A. (2017) · British Journal of Political Science · doi:10.1017/s0007123416000478 · Cited by 185
Olaya, B., Moneta, M. V., Caballero, F. F., Tyrovolas, S., Bayes‐Marin, I., Ayuso‐Mateos, J. L., & Haro, J. M. (2017) · BMC Geriatrics · doi:10.1186/s12877-017-0586-1 · Cited by 167
Lundberg, J., Cars, T., Lööv, S., Söderling, J. K., Sundström, J., Tiihonen, J., Levál, A., Gannedahl, A., Björkholm, C., Själin, M., et al. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.3860 · Cited by 168
Agay‐Shay, K., Martinez, D. R., Valvi, D., García‐Esteban, R., Basagaña, X., Robinson, O., Casas, M., Sunyer, J., & Vrijheid, M. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1409049 · Cited by 167
Schmutz, E. A., Leeger‐Aschmann, C. S., Radtke, T., Muff, S., Kakebeeke, T. H., Zysset, A. E., Messerli‐Bürgy, N., Stülb, K., Arhab, A., Meyer, A. H., et al. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0456-9 · Cited by 165
Adolescent body dissatisfaction and disordered eating: Predictors of later risky health behaviours
Bornioli, A., Lewis‐Smith, H., Smith, A. D. A. C., Slater, A., & Bray, I. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.112458 · Cited by 162
Bornioli, A., Lewis‐Smith, H., Slater, A., & Bray, I. (2020) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2019-213033 · Cited by 174
Enhancing credit scoring with alternative data
Djeundje, V. B., Crook, J. N., Calabrese, R., & Hamid, M. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113766 · Cited by 141
Beliefs about climate change in the aftermath of extreme flooding
Albright, E. A., & Crow, D. A. (2019) · Climatic Change · doi:10.1007/s10584-019-02461-2 · Cited by 143
Azeredo, C. M., Rezende, L. F. M., Canella, D. S., Claro, R. M., Peres, M. F. T., Luiz, O. D. C., França, I., Kinra, S., Hawkesworth, S., & Levy, R. B. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.03.026 · Cited by 133
McCormick, M. P., & O’Connor, E. E. (2014) · Journal of Educational Psychology · doi:10.1037/a0037457 · Cited by 123
Personality trait development across the transition to retirement.
Schwaba, T., & Bleidorn, W. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000179 · Cited by 128
Evaluation of Changes in Functional Status in the Year After Aortic Valve Replacement
Kim, D. H., Afilalo, J., Shi, S., Popma, J. J., Khabbaz, K. R., Laham, R. J., Grodstein, F., Guibone, K. A., Lux, E., & Lipsitz, L. A. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.6738 · Cited by 118
Steinmann, J.-P. (2018) · Journal of Ethnic and Migration Studies · doi:10.1080/1369183x.2018.1480359 · Cited by 129
Couper, K., Murrells, T., Sanders, J., Anderson, J. E., Blake, H., Kelly, D. M., Kent, B., Maben, J., Rafferty, A. M., Taylor, R. M., et al. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.104155 · Cited by 120
Cooklin, A., Dinh, H., Strazdins, L. M., Westrupp, E. M., Leach, L., & Nicholson, J. M. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.02.036 · Cited by 112
Dietary intake of Brazilian adolescents
Azeredo, C. M., Rezende, L. F. M., Canella, D. S., Claro, R. M., de Castro, I. R. R., Luiz, O. D. C., & Levy, R. B. (2014) · Public Health Nutrition · doi:10.1017/s1368980014001463 · Cited by 108
Black, A. M., Hagel, B. E., Palacios-Derflingher, L. M., Schneider, K., & Emery, C. A. (2017) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-097392 · Cited by 104
Appropriate inclusion of interactions was needed to avoid bias in multiple imputation
Tilling, K. M., Williamson, E., Spratt, M., Sterne, J. A. C., & Carpenter, J. R. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.07.004 · Cited by 99
An Experimental Survey of Missing Data Imputation Algorithms
Miao, X., Wu, Y., Chen, L., Gao, Y., & Yin, J. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3186498 · Cited by 103
Dipnall, J. F., Pasco, J. A., Berk, M., Williams, L. J., Dodd, S., Jacka, F. N., & Meyer, D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148195 · Cited by 110
Castelló, A., Martín, M., Ruı́z, A., Casas, A., Baena-Cañada, J. M., Lope, V., Antolín, S., Sánchez, P., Ramos, M., Antón, A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126096 · Cited by 102
Trajectories of depression and anxiety symptom change during psychological therapy
Saunders, R., Buckman, J. E. J., Cape, J., Fearon, P., Leibowitz, J., & Pilling, S. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.02.043 · Cited by 99
Bjureberg, J., Dahlin, M., Carlborg, A., Edberg, H., Haglund, A., & Runeson, B. (2021) · Psychological Medicine · doi:10.1017/s0033291721000751 · Cited by 111
McKinnon, B., Quach, C., Dubé, È., Nguyen, C. T., & Zinszer, K. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.10.077 · Cited by 99
Do Payments Pay Off? Evidence from Participation in Costa Rica’s PES Program
Arriagada, R., Sills, E. O., Ferraro, P. J., & Pattanayak, S. K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131544 · Cited by 99
Can We Measure Immigrants’ Legal Status? Lessons from Two U.S. Surveys
Bachmeier, J. D., Hook, J. V., & Bean, F. D. (2014) · International Migration Review · doi:10.1111/imre.12059 · Cited by 98
Mostafa, T., & Wiggins, R. D. (2015) · Longitudinal and Life Course Studies · doi:10.14301/llcs.v6i2.312 · Cited by 97
Multiomics Research: Principles and Challenges in Integrated Analysis
Luo, Y., Zhao, C., & Chen, F. (2024) · BioDesign Research · doi:10.34133/bdr.0059 · Cited by 108
Cullen, P., Möller, H., Woodward, M., Senserrick, T. M., Boufous, S., Rogers, K. D., Brown, J. K., & Ivers, R. (2021) · SSM - Population Health · doi:10.1016/j.ssmph.2021.100816 · Cited by 95
Equality of opportunity in educational achievement in the Middle East and North Africa
Salehi‐Isfahani, D., Hassine, N. B., & Assaad, R. A. (2013) · The Journal of Economic Inequality · doi:10.1007/s10888-013-9263-6 · Cited by 94
Dinh, H., Cooklin, A., Leach, L., Westrupp, E. M., Nicholson, J. M., & Strazdins, L. M. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.10.017 · Cited by 94
Modrego‐Alarcón, M., del Hoyo, Y. L., García‐Campayo, J., Pérez‐Aranda, A., Navarro‐Gil, M., Beltrán-Ruiz, M., Morillo, H., Delgado-Suárez, I., Oliván-Arévalo, R., & Montero‐Marín, J. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103866 · Cited by 109
Boer, M., van den Eijnden, R. J. J. M., Finkenauer, C., Boniel‐Nissim, M., Marino, C., Inchley, J., Cosma, A. P., Paakkari, L. T., & Stevens, G. W. J. M. (2021) · Addiction · doi:10.1111/add.15709 · Cited by 104
A review on missing values for main challenges and methods
Ren, L., Wang, T., Sekhari, A., Zhang, H., & Bouras, A. (2023) · Information Systems · doi:10.1016/j.is.2023.102268 · Cited by 93
The Relationship Between Education and Pain Among Adults Aged 30–49 in the United States
Zajacova, A., Rogers, R. G., Grodsky, E., & Grol-Prokopczyk, H. (2020) · Journal of Pain · doi:10.1016/j.jpain.2020.03.005 · Cited by 102
Steeg, S., Quinlivan, L., Nowland, R., Carroll, R., Casey, D., Clements, C., Cooper, J., Davies, L., Knipe, D., Ness, J., et al. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1693-z · Cited by 91
Liu, X., Agerbo, E., Ingstrup, K. G., Musliner, K., Meltzer-Brody, S., Bergink, V., & Munk-Olsen, T. (2017) · BMJ · doi:10.1136/bmj.j3668 · Cited by 90
Sanchez-Santos, M. T., Garriga, C., Judge, A., Batra, R. N., Price, A. J., Liddle, A. D., Javaid, M. K., Cooper, C. C., Murray, D. W., & Arden, N. (2018) · Scientific Reports · doi:10.1038/s41598-018-21714-1 · Cited by 88
Fowler, A. J., Ahmad, T. A., Abbott, T. E. F., Torrance, H. D. T., Wouters, P. F., Hert, S. G. D., Lobo, S. M., Rasmussen, L. S., Rocca, C. D., Beattie, W. S., et al. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2018.08.026 · Cited by 88
Norris, T., Cole, T. J., Bann, D., Hamer, M., Hardy, R., Li, L., Ong, K. K., Ploubidis, G. B., Viner, R., & Johnson, W. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003387 · Cited by 94
Tibuakuu, M., Kamimura, D., Kianoush, S., DeFilippis, A. P., Rifai, M. A., Reynolds, L. M., White, W., Butler, K. R., Mosley, T. H., Turner, S. T., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184914 · Cited by 84
McMunn, A., Martin, P., Kelly, Y. J., & Sacker, A. (2015) · Journal of Family Issues · doi:10.1177/0192513x15622415 · Cited by 83
Predictors of College Attendance Patterns of Rural Youth
Byun, S., Meece, J. L., & Agger, C. A. (2017) · Research in Higher Education · doi:10.1007/s11162-017-9449-z · Cited by 97
Culpin, I., Mars, B., Pearson, R. M., Golding, J., Heron, J., Bubak, I., Carpenter, P. K., Magnusson, C., Gunnell, D., & Rai, D. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.01.023 · Cited by 91
Saunders, R., Buckman, J. E. J., Stott, J., Leibowitz, J., Aguirre, E., John, A., Lewis, G., Cape, J., & Pilling, S. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.06.084 · Cited by 81
Economic evaluation of a dietary intervention for adults with major depression (the “SMILES” trial)
Chatterton, M. L., Mihalopoulos, C., O’Neil, A., Itsiopoulos, C., Opie, R., Castle, D., Dash, S., Brazionis, L., Berk, M., & Jacka, F. (2018) · BMC Public Health · doi:10.1186/s12889-018-5504-8 · Cited by 81
“To account for missing utility values, health care, transportation, and lost productivity costs, the ICE multiple imputation technique in Stata was used [33].”
MethodDereumeaux, C., Saoudi, A., Goria, S., Wagner, V., de Crouy-Chanel, P., Pecheux, M., Berat, B., Zaros, C., & Guldner, L. (2018) · Environment International · doi:10.1016/j.envint.2018.04.042 · Cited by 80
Montazeri, P., Thomsen, C., Casas, M., de Bont, J., Haug, L. S., Maître, L., Papadopoulou, E., Sakhi, A. K., Slama, R., Saulnier, P., et al. (2019) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2019.04.002 · Cited by 80
Nair, S. S., Mitani, A., Goldstein, B. A., Chertow, G. M., Lowenberg, D. W., & Winkelmayer, W. C. (2013) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.10901012 · Cited by 79
Pries, L.-K., van Os, J., ten Have, M., de Graaf, R., van Dorsselaer, S., Bak, M., Lin, B. D., van Eijk, K. R., Kenis, G., Richards, A. L., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.2304 · Cited by 79
Prenatal marijuana exposure predicts marijuana use in young adulthood
Sonon, K. E., Richardson, G. A., Cornelius, J. R., Kim, K. H., & Day, N. L. (2014) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2014.11.003 · Cited by 82
A fair comparison of tree‐based and parametric methods in multiple imputation by chained equations
Slade, E., & Naylor, M. (2020) · Statistics in Medicine · doi:10.1002/sim.8468 · Cited by 76
Fahey, C., Njau, P., Katabaro, E., Mfaume, R., Ulenga, N. K., Mwenda, N., Bradshaw, P. T., Dow, W., Padian, N., Jewell, N., et al. (2020) · The Lancet HIV · doi:10.1016/s2352-3018(20)30230-7 · Cited by 61
Predicting dropout in adolescents receiving therapy for depression
O’Keeffe, S., Martin, P., Goodyer, I. M., Wilkinson, P. O., Impact Consortium, & Midgley, N. (2017) · Psychotherapy Research · doi:10.1080/10503307.2017.1393576 · Cited by 77
The effect of the COVID-19 pandemic on mental health in individuals with pre-existing mental illness
Lewis, K. S., Lewis, C., Roberts, A., Richards, N. A., Evison, C., Pearce, H. A., Lloyd, K. R., Meudell, A., Edwards, B. M., Robinson, C., et al. (2022) · BJPsych Open · doi:10.1192/bjo.2022.25 · Cited by 78
Gómez-Fernández, N., & Mediavilla, M. (2021) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2021.101009 · Cited by 75
Mukaka, M., White, S. A., Terlouw, D. J., Mwapasa, V., Kalilani‐Phiri, L., & Faragher, E. B. (2016) · Trials · doi:10.1186/s13063-016-1473-3 · Cited by 83
Jenum, A. K., Brekke, I., Mdala, I., Muilwijk, M., Ramachandran, A., Kjøllesdal, M. K. R., Andersen, E., Richardsen, K. R., Douglas, A., Cezard, G. I., et al. (2019) · Diabetologia · doi:10.1007/s00125-019-4905-2 · Cited by 77
Wu, A. D., Gao, M., Aveyard, P., & Taylor, G. M. J. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.16111 · Cited by 68
Zajacova, A., Jehn, A., Stackhouse, M., Choi, K. H., Denice, P. A., Haan, M., & Ramos, H. (2020) · SSM - Population Health · doi:10.1016/j.ssmph.2020.100704 · Cited by 73
Socioeconomic Status and Childhood Cancer Incidence: A Population-Based Multilevel Analysis
Kehm, R. D., Spector, L. G., Poynter, J. N., Vock, D. M., & Osypuk, T. L. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx322 · Cited by 72
Double Toil and Trouble: Grade Retention and Academic PerformancePreprint
Choi, Á., Izquierdo, M. G., Mediavilla, M., & Valbuena, J. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2745970 · Cited by 72
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Hippisley‐Cox, J., Coupland, C. A. C., & Brindle, P. M. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005809 · Cited by 69
Marcaccio, C. L., Dumas, R. P., Huang, Y., Yang, W. P., Wang, G. J., & Holena, D. N. (2018) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2017.10.084 · Cited by 69
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Metadata
- Authors
- Royston, P., & White, I.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2011
- Volume
- 45
- Issue
- 4
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1781481323
- Cited by
- 1,248
- References
- 22
- Citations by year
- 2026: 56 · 2025: 99 · 2024: 95 · 2023: 124 · 2022: 134 · 2021: 159 · 2020: 119 · 2019: 107 · 2018: 97 · 2017: 76 · 2016: 62 · 2015: 46 · 2014: 44 · 2013: 24 · 2012: 3
- FWCI
- 20.49
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Statistical Software (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- multiple imputation, chained equations, mice, missing data, missing at random, Stata, ovarian cancer, database architecture
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.
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