The DOI matches its Crossref record.
Applied Mixed Models in Medicine
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Random-effects models allow for estimation of between-person differences (ie, group effects) in within-person slopes (ie, change trajectories in secondary outcomes) and are the preferred methods for analysing clinical trial data.50”
Citations
Cited by
Sorted by citations
brms : An R Package for Bayesian Multilevel Models Using Stan
Bürkner, P.-C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v080.i01 · Cited by 9,476
Long-term kidney outcomes of semaglutide in obesity and cardiovascular disease in the SELECT trial
Colhoun, H. M., Lingvay, I., Brown, P. M., Deanfield, J., Brown-Frandsen, K., Kahn, S. E., Plutzky, J., Node, K., Parkhomenko, A., Rydén, L., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03015-5 · Cited by 238
Joshanloo, M., & Jovanović, V. (2019) · Archives of Women s Mental Health · doi:10.1007/s00737-019-00998-w · Cited by 264
Tapiainen, T., Koivusaari, P., Brinkac, L. M., Lorenzi, H., Salo, J., Renko, M., Pruikkonen, H., Pokka, T. M.-L., Li, W., Nelson, K., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-46964-5 · Cited by 181
Röver, C., Bender, R., Dias, S., Schmid, C. H., Schmidli, H., Sturtz, S., Weber, S., & Friede, T. (2021) · Research Synthesis Methods · doi:10.1002/jrsm.1475 · Cited by 209
Mahlke, C. I., Priebe, S., Heumann, K., Daubmann, A., Wegscheider, K., & Bock, T. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2016.12.007 · Cited by 148
Kersemaekers, W., Rupprecht, S., Wittmann, M., Tamdjidi, C., Falke, P., Donders, R., Speckens, A., & Kohls, N. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00195 · Cited by 148
Gender differences in the predictors of life satisfaction across 150 nations
Joshanloo, M. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.07.043 · Cited by 129
Hutten, N. R. P. W., Mason, N. L., Dolder, P. C., Theunissen, E. L., Holze, F., Liechti, M. E., Feilding, A., Ramaekers, J. G., & Kuypers, K. P. C. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.10.002 · Cited by 123
Trends of blood pressure and heart rate in normal pregnancies: a systematic review and meta-analysis
Loerup, L., Pullon, R. M., Birks, J., Fleming, S., Mackillop, L. H., Gerry, S., & Watkinson, P. (2019) · BMC Medicine · doi:10.1186/s12916-019-1399-1 · Cited by 112
Parker, R. A., Weir, C. J., Rubio, N., Rabinovich, R., Pinnock, H., Hanley, J., McCloughan, L. B., Drost, E., Mantoani, L. C., MacNee, W., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168321 · Cited by 105
Life‐Space Mobility Change Predicts 6‐Month Mortality
Kennedy, R., Sawyer, P., Williams, C., Lo, A. X., Ritchie, C. S., Roth, D. L., Allman, R. M., & Brown, C. J. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14738 · Cited by 104
Valid statistical approaches for analyzing sholl data: Mixed effects versus simple linear models
Wilson, M., Sethi, S., Lein, P. J., & Keil, K. P. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.01.003 · Cited by 92
Using multiple agreement methods for continuous repeated measures data: a tutorial for practitioners
Parker, R. A., Scott, C., Inácio, V., & Stevens, N. T. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-01022-x · Cited by 97
Röver, C., Bender, R., Dias, S., Schmid, C. H., Schmidli, H., Sturtz, S., Weber, S., & Friede, T. (2021) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 89
Spatiotemporal analysis of tuberculosis incidence and its associated factors in mainland China
Guo, C., Du, Y., Shen, S., Lao, X. Q., Qian, J., & Ou, C. (2017) · Epidemiology and Infection · doi:10.1017/s0950268817001133 · Cited by 84
Dimethyl fumarate–induced lymphopenia in MS due to differential T-cell subset apoptosis
Ghadiri, M., Rezk, A., Li, R. Q., et al. (2017) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000340 · Cited by 76
Optimal human functioning around the world: A new index of eudaimonic well‐being in 166 nations
Joshanloo, M. (2018) · British Journal of Psychology · doi:10.1111/bjop.12316 · Cited by 67
Supporting Family Caregivers With Technology for Dementia Home Care: A Randomized Controlled Trial
Williams, K. N., Perkhounkova, Y., Shaw, C. A., Hein, M., Vidoni, E. D., & Coleman, C. (2019) · Innovation in Aging · doi:10.1093/geroni/igz037 · Cited by 71
Li, L., Wister, A., & Mitchell, B. A. (2020) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaa197 · Cited by 66
Svensson‐Raskh, A., Schandl, A. R., Ståhle, A., Nygren‐Bonnier, M., & Olsén, M. F. (2021) · Physical Therapy · doi:10.1093/ptj/pzab094 · Cited by 71
Masa, J. F., Mokhlesi, B., Benitez, I. D., Mogollón, M. V., de Terreros, F. J. G., Sánchez-Quiroga, M. Á., Falcón, A. R., Caballero‐Eraso, C., Alonso-Álvarez, M. L., Ordax-Carbajo, E., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201906-1122oc · Cited by 61
Determination of the Minimal Important Change in the Life‐Space Assessment
Kennedy, R., ALMUTAIRI, M. K., Williams, C., Sawyer, P., Allman, R. M., & Brown, C. J. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15707 · Cited by 56
Blood Neurofilament Light in Progressive Multiple Sclerosis
Leppert, D., Kropshofer, H., Häring, D. A., Dahlke, F., Patil, A., Meinert, R., Tomic, D., Kappos, L., & Kühle, J. (2022) · Neurology · doi:10.1212/wnl.0000000000200258 · Cited by 55
Left hemisphere enhancement of auditory activation in language impaired children
van Bijnen, S., Kärkkäinen, S., Helenius, P., & Parviainen, T. (2019) · Scientific Reports · doi:10.1038/s41598-019-45597-y · Cited by 24
Scali, S. T., Beck, A. W., Torsello, G. B., et al. (2018) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2017.10.080 · Cited by 52
Retinal Vessel Diameters and Blood Pressure Progression in Children
Lona, G., Endes, K., Köchli, S., Infanger, D., Zahner, L., & Hanssen, H. (2020) · Hypertension · doi:10.1161/hypertensionaha.120.14695 · Cited by 53
“Regression model assumptions were checked graphically using residual plots.(38) We performed multiple imputation using chained equations (multiple imputation by chained equations [MICE]) to account for missing data of height, weight, BMI, and shuttle run performance at follow-up.”
MethodHe, J., Zhao, C., Zhong, S., Ouyang, N., Sun, G., Qiao, L., Yang, R., Zhao, C., Liu, H., Teng, W., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03616-8 · Cited by 61
What is eaten when all of the foods at a meal are served in large portions?
Roe, L. S., Kling, S. M. R., & Rolls, B. J. (2016) · Appetite · doi:10.1016/j.appet.2016.01.001 · Cited by 51
Wister, A., Li, L., Mitchell, B. A., Wolfson, C. M., McMillan, J. M., Griffith, L. E., Kirkland, S., Raina, P. S., Canadian Longitudinal Study on Aging (CLSA) Team, Costa, A. P., et al. (2022) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbac035 · Cited by 48
Impact evaluation of camera enforcement for traffic violations in Cali, Colombia, 2008–2014
Martínez-Ruiz, D. M., Fandiño‐Losada, A., de León, A. P., et al. (2019) · Accident Analysis & Prevention · doi:10.1016/j.aap.2019.02.002 · Cited by 47
Hopewell, S., Keene, D. J., Heine, P., Marian, I. R., Dritsaki, M., Cureton, L., Dutton, S., Dakin, H., Carr, A. J., Hamilton, W. T., et al. (2021) · Health Technology Assessment · doi:10.3310/hta25480 · Cited by 47
Quantifying sources of variability in gait analysis
Chia, K., & Sangeux, M. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2017.04.040 · Cited by 41
Barić, H., Đorđević, V., Cerovečki, I., & Trkulja, V. (2018) · Advances in Therapy · doi:10.1007/s12325-018-0680-6 · Cited by 40
Prescott, R. J. (2018) · Gait & Posture · doi:10.1016/j.gaitpost.2018.06.172 · Cited by 39
Self-citationRodríguez-López, C., Alcázar, J., Sánchez-Martín, C., Baltasar‐Fernandez, I., Ara, I., Csapo, R., & Alegre, L. M. (2021) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14073 · Cited by 40
Scali, S. T., Giles, K. A., Kubilis, P. S., Beck, A. W., Crippen, C. J., Hughes, S. J., Huber, T. S., Upchurch, G. R., & Stone, D. H. (2019) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2019.06.194 · Cited by 37
Wartolowska, K. A., Gerry, S., Feakins, B. G., Collins, P. G. S., Cook, J. A., Judge, A., & Carr, A. J. (2017) · Trials · doi:10.1186/s13063-017-2070-9 · Cited by 35
Caley, L. R., Smith, L. J., White, H., et al. (2020) · Journal of Cystic Fibrosis · doi:10.1016/j.jcf.2020.04.008 · Cited by 34
A multi-objective optimization with a delay-aware component for airport stand allocation
Bagamanova, M., & Mota, M. M. (2019) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2019.101757 · Cited by 33
Hjetland, G. J., Kolberg, E., Pallesen, S., Thun, E., Nordhus, I. H., Bjorvatn, B., & Flo, E. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02236-4 · Cited by 38
“This analysis method takes into account all available data, performs better than alternatives when there are missing data, and estimates fixed effects while adjusting for correlation due to repeated measurements on each subject [77, 78].”
MethodMilanese, C., Cavedon, V., Sandri, M. F., Tam, E., Piscitelli, F., Boschi, F., & Zancanaro, C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0192046 · Cited by 33
A family of experiments on test-driven development
Santos, A., Vegas, S., Dieste, O., Uyaguari, F., Tosun, A., Fucci, D., Turhan, B., Scanniello, G., Romano, S., Karac, I., et al. (2021) · Empirical Software Engineering · doi:10.1007/s10664-020-09895-8 · Cited by 30
Cooper, K. G., Bhattacharya, S., DANIELS, J. P., Horne, A. W., Clark, T. J., Sarıdoğan, E., Cheed, V., Pirie, D., Melyda, M., Monahan, M., et al. (2024) · BMJ · doi:10.1136/bmj-2023-079006 · Cited by 39
“For the primary outcome (EHP-30 pain scores at three years), a mixed effects linear regression model for repeated measures 17 calculated the adjusted difference between group means, along with 95% confidence intervals (CIs).”
MethodJaramillo-Jiménez, A., Giil, L. M., Tovar, D., Borda, M. G., Ferreira, D., Brønnick, K., Oppedal, K., & Aarsland, D. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.679984 · Cited by 32
Zeineddine, H. A., Girard, R., Cao, Y. J., Hobson, N., Fam, M. D., Stadnik, A., Tan, H., Shen, J., Chaudagar, K. K., Shenkar, R., et al. (2017) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25831 · Cited by 32
The Japan Environment & Children’s Study Group, Iwama, N., Metoki, H., Nishigori, H., Mizuno, S., Takahashi, F., Tanaka, K., Watanabe, Z., Saito, M., Sakurai, K., et al. (2018) · Hypertension Research · doi:10.1038/s41440-018-0124-3 · Cited by 34
McEwen, F. S., Biazoli, C. E., Popham, C. M., Moghames, P., Saab, D., Fayyad, J. A., Karam, E. G., Bosqui, T. J., & Pluess, M. (2023) · Nature Mental Health · doi:10.1038/s44220-023-00017-z · Cited by 32
Kelava, L., Barić, H., Bušić, M., et al. (2017) · Advances in Therapy · doi:10.1007/s12325-017-0579-7 · Cited by 30
Sauvet, F., Erblang, M., Gomez-Mérino, D., Rabat, A., Guillard, M., Dubourdieu, D., Lefloch, H., Drogou, C., Beers, P. V., Bougard, C., et al. (2019) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14098 · Cited by 29
Adiposity and endometriosis severity and typology
Byun, J., Peterson, C. M., Backonja, U., Taylor, R. N., Stanford, J. B., Allen-Brady, K. L., Smith, K. R., Louis, G. M. B., & Schliep, K. C. (2020) · Journal of Minimally Invasive Gynecology · doi:10.1016/j.jmig.2020.01.002 · Cited by 27
Is patient length of stay associated with intensive care unit characteristics?
Verburg, I. W. M., Holman, R., Dongelmans, D. A., et al. (2017) · Journal of Critical Care · doi:10.1016/j.jcrc.2017.08.014 · Cited by 27
Savoy, A., Militello, L. G., Patel, H., Flanagan, M., Russ, A. L., Daggy, J., Weiner, M., & Saleem, J. J. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.07.021 · Cited by 27
Hackl, L. S., Karakochuk, C. D., Mazariegos, D. I., et al. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.03.019 · Cited by 26
Wister, A., Li, L., Cosco, T. D., McMillan, J. M., Griffith, L. E., on behalf of the Canadian Longitudinal Study on Aging (CLSA) Team, Costa, A. P., Anderson, L. N., Balion, C. M., Kirkland, S., et al. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-02769-2 · Cited by 27
“GLMM adjusts models for the random effects of repeated measuring on the same participants and can estimate both within- and between-subject variability.”
MethodInfluentialWeight loss relapse associated with exposure to perfluorinated alkylate substances
Grandjean, P., Meddis, A., Nielsen, F., Sjödin, A. M., Hjorth, M. F., Astrup, A. V., & Budtz–Jørgensen, E. (2023) · Obesity · doi:10.1002/oby.23755 · Cited by 26
Acute post-concussive symptoms in young children
Bernard, C. O., McKinlay, A., Krieser, D., Testa, R., & Ponsford, J. L. (2017) · Brain Injury · doi:10.1080/02699052.2017.1350999 · Cited by 26
Keohane, P., Everett, J. R., Pereira, R., Cook, C. M., Blonquist, T. M., & Mah, E. (2024) · Nutrition Research · doi:10.1016/j.nutres.2024.09.012 · Cited by 25
Effectiveness and feasibility of a mindful leadership course for medical specialists: a pilot study
Kersemaekers, W. M., Vreeling, K., Verweij, H., van der Drift, M. A., Cillessen, L., van Dierendonck, D., & Speckens, A. E. M. (2020) · BMC Medical Education · doi:10.1186/s12909-020-1948-5 · Cited by 33
“The model estimates mean outcome scores for each timepoint based on the available data, assuming that the participants consist of an a-select sample of a background population that we are interested in [40].”
MethodPsychosocial and Sociodemographic Contributors to Breastfeeding Intention in First-Time Mothers
Baumgartner, T., Bhamidipalli, S. S., Guise, D. M., Daggy, J., Parker, C. B., Westermann, M., Parry, S. I., Grobman, W. A., Mercer, B. M., Simhan, H. N., et al. (2020) · Maternal and Child Health Journal · doi:10.1007/s10995-020-02928-0 · Cited by 25
Dias, J. J., Brealey, S., Cook, L., Fairhurst, C. M., Hinde, S., Leighton, P. A., Choudhary, S., Costa, M. L., Hewitt, C. E., Hodgson, S., et al. (2020) · Health Technology Assessment · doi:10.3310/hta24520 · Cited by 27
Pilot study aiming to support sleep quality and duration during hospitalizations
Gathecha, E., Rios, R., Buenaver, L. F., Landis, R., Howell, E. E., & Wright, S. M. (2016) · Journal of Hospital Medicine · doi:10.1002/jhm.2578 · Cited by 25
Lee, S. Y. (2022) · Mathematics · doi:10.3390/math10060898 · Cited by 23
Aortic local biomechanical properties in ascending aortic aneurysms
Lin, S., Morgant, M., Marín-Castrillón, D. M., WALKER, P. M., Aho, S., Boucher, A., Presles, B., Bouchot, O., & Lalande, A. (2022) · Acta Biomaterialia · doi:10.1016/j.actbio.2022.06.019 · Cited by 23
The analysis of continuous data from n-of-1 trials using paired cycles: a simple tutorial
Senn, S. J. (2024) · Trials · doi:10.1186/s13063-024-07964-7 · Cited by 23
Cork rings suggest how to manage Quercus suber to mitigate the effects of climate changes
Leite, C., Oliveira, V., Lauw, A., & Pereira, H. (2018) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2018.11.032 · Cited by 23
Joshanloo, M. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.03.018 · Cited by 22
Wister, A., Li, L., Levasseur, M., Kadowaki, L., & Pickering, J. (2023) · Journal of Aging and Health · doi:10.1177/08982643221129686 · Cited by 20
Reiners, S., Hebestreit, S., Wedekind, L., Kiehntopf, M., Klink, A., Rummler, S., Glei, M., Lorkowski, S., Schlörmann, W., & Dawczynski, C. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1095245 · Cited by 26
Catalán, A., Tognin, S., Kempton, M., Ståhl, D., de Pablo, G. S., Nelson, B., Pantelis, C., Riecher-Rössler, A., Bressan, R., Barrantes-Vidal, N., et al. (2020) · Psychological Medicine · doi:10.1017/s0033291720003396 · Cited by 16
García-Jiménez, G., Zariñán, T., Rodríguez‐Valentín, R., Mejía‐Domínguez, N. R., Gutiérrez‐Sagal, R., Hernández‐Montes, G., Tovar, A. R., Arechavaleta-Velasco, F., Canto, P., Granados, J., et al. (2018) · Reproductive Biology and Endocrinology · doi:10.1186/s12958-018-0420-4 · Cited by 21
Hemming, K., Hughes, J. P., McKenzie, J. E., & Forbes, A. B. (2020) · Statistical Methods in Medical Research · doi:10.1177/0962280220948550 · Cited by 21
“) and possibly across different settings (for example different geographies, or different centres).(2) In any realization of treatment effects across different groups the actual variation observed is a combination of “true” treatment effect variation and variation due to sampling error.”
BackgroundAssessment of retrospective collection of EQ-5D-5L in a US COVID-19 population
Sun, X., Fusco, M. D., Puzniak, L., et al. (2023) · Health and Quality of Life Outcomes · doi:10.1186/s12955-023-02187-x · Cited by 21
“A linear mixed model was used to characterize the relationship between EQ VAS and UI [10].”
MethodCherwin, C. H., & Perkhounkova, Y. (2016) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2016.11.005 · Cited by 21
Rasing, S. P. A., Stikkelbroek, Y. A. J., den Hollander, W., Riper, H., Deković, M., Nauta, M. H., Creemers, D. H. M., Immink, M. C. P., Spuij, M., & Bodden, D. H. M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18063102 · Cited by 21
Wister, A., Li, L., & Mitchell, B. A. (2021) · The International Journal of Aging and Human Development · doi:10.1177/00914150211040451 · Cited by 23
Brandt, A. E., Finnanger, T. G., Hypher, R. E., Rø, T. B., Skovlund, E., Andersson, S., Risnes, K. R., & Stubberud, J. (2021) · BMC Medicine · doi:10.1186/s12916-021-02129-8 · Cited by 20
“The within and between differences of the two co-primary endpoints constituting BRIEF (raw scores BRIEFBRI and BRIEFMI) were estimated by linear mixed models [65] in a full analysis set Brandt et al.”
MethodUnit of analysis issues in laboratory-based research
Parsons, N., Teare, M. D., & Sitch, A. J. (2018) · eLife · doi:10.7554/elife.32486 · Cited by 19
Introduction to the Rasch Poisson Counts Model: An R Tutorial
Baghaei, P., & Doebler, P. (2018) · Psychological Reports · doi:10.1177/0033294118797577 · Cited by 20
The value of generalized linear mixed models for data analysis in the plant sciences
Madden, L. V., & Ojiambo, P. S. (2024) · Frontiers in Horticulture · doi:10.3389/fhort.2024.1423462 · Cited by 22
Diurnal Rhythm Robustness in Individuals With PTSD and Insomnia and The Association With Sleep
Mascaro, L., Phillips, A. J. K., Clark, J. W., Straus, L. D., & Drummond, S. P. A. (2021) · Journal of Biological Rhythms · doi:10.1177/0748730420984563 · Cited by 19
Snoeker, B. A. M., Ishijima, M., Kumm, J., et al. (2021) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2021.06.012 · Cited by 19
Gibson, J. M., Chu, T., Zeng, W., Wethall, A., Kong, M., Mellen, N. M., Devlin, L. A., & Cai, J. (2022) · Experimental Biology and Medicine · doi:10.1177/15353702221090457 · Cited by 20
Stewart, S., Pearson, J., Rome, K., Dalbeth, N., & Vandal, A. C. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2017.10.018 · Cited by 20
Motivational interviewing skills practice enhanced with artificial intelligence: ReadMI
Hershberger, P. J., Pei, Y., Bricker, D. A., Crawford, T. N., Shivakumar, A., Castle, A., Conway, K., Medaramitta, R., Rechtin, M., & Wilson, J. F. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05217-4 · Cited by 18
Carbia, C., Cadaveira, F., Caamaño‐Isorna, F., Holguı́n, S. R., & Corral, M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00783 · Cited by 18
“Generalized linear mixed models (GLMMs), in which maximum log-likelihood was approximated by adaptive Gauss-Hermite quadrature, were used in the statistical analysis (Brown and Prescott, 2014).”
A Procedure and Guidelines for Analyzing Groups of Software Engineering Replications
Santos, A., Vegas, S., Oivo, M., & Juristo, N. (2019) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2935720 · Cited by 23
Long-Term Results After Lung Volume Reduction Surgery: A Single Institution’s Experience
Horwood, C. R., Mansour, D. E., Abdel‐Rasoul, M., Metzger, G. A., Han, J. L., Aggarwal, R., Rittinger, M., Shimizu-Saito, S., Diaz, P., & Moffatt, S. D. (2018) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2018.10.014 · Cited by 19
Perim, R. R., Kubilis, P. S., Seven, Y. B., & Mitchell, G. S. (2020) · Experimental Neurology · doi:10.1016/j.expneurol.2020.113429 · Cited by 18
Axon morphology of rapid Golgi-stained pyramidal neurons in the prefrontal cortex in schizophrenia
Banovac, I., Sedmak, D., Kuzman, M. R., Hladnik, A., & Petanjek, Z. (2020) · Croatian Medical Journal · doi:10.3325/cmj.2020.61.354 · Cited by 16
Svendsen, S. D., Aggestrup, A. S., Nørregaard, L. B., Løventoft, P. K., Præstegaard, A., Danilenko, K. V., Frost, M. M., Knorr, U., Hageman, I., Kessing, L. V., et al. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2101-z · Cited by 17
Wister, A., Li, L., Whitmore, C., Ferris, J. K., Klasa, K., & Linkov, I. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.896312 · Cited by 20
Exploring the role of age as a moderator of cognitive remediation for people with schizophrenia
Seccomandi, B., Agbedjro, D., Bell, M. D., Keefe, R. S. E., Keshavan, M. S., Galderisi, S., Fiszdon, J. M., Mucci, A., Cavallaro, R., Ojeda, N., et al. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2020.11.060 · Cited by 17
Gilmore, N. J., Xu, H., Kehoe, L., Kleckner, A. S., Moorthi, K., Lei, L., Mohamed, M., Loh, K. P., Culakova, E., Flannery, M. A., et al. (2021) · Cancer · doi:10.1002/cncr.34010 · Cited by 17
Selection on escape performance during ecological speciation driven by predation
Swaegers, J., Strobbe, F., McPeek, M. A., & Stoks, R. (2017) · Animal Behaviour · doi:10.1016/j.anbehav.2016.12.012 · Cited by 16
Analyzing Data of a Multilab Replication Project With Individual Participant Data Meta-Analysis
van Aert, R. C. M. (2022) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000483 · Cited by 17
Graziosi, G., Lupini, C., Favera, F. D., et al. (2024) · Poultry Science · doi:10.1016/j.psj.2024.103892 · Cited by 15
Comparative analysis of the effect of IV administered acid suppressants on gastric pH in dogs
Kuhl, A., Odunayo, A., Price, J. M., et al. (2020) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.15718 · Cited by 15
Masa, J. F., Benitez, I. D., Sánchez-Quiroga, M. Á., de Terreros, F. J. G., Corral, J., Romero, A., Caballero‐Eraso, C., Ordax-Carbajo, E., Troncoso, M. F., González, M., et al. (2021) · Archivos de Bronconeumología · doi:10.1016/j.arbres.2021.05.019 · Cited by 18
Using the SOCIO Chatbot for UML Modelling: A Family of Experiments
Ren, R., Castro, J. W., Santos, A., Dieste, Ó., & Acuña, S. T. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2022.3150720 · Cited by 16
Metadata
- Authors
- Brown, H., & Prescott, R.
- ORCID
- Prescott, Robin
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2014-12-12
- OpenAlex
- W2500762131
- Cited by
- 282
- References
- 0
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 29 · 2023: 35 · 2022: 32 · 2021: 43 · 2020: 32 · 2019: 28 · 2018: 26 · 2017: 19 · 2016: 7 · 2015: 1
- FWCI
- 2.00
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Keywords
- mixed models, longitudinal data, repeated measures, random effects
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