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Applied Mixed Models in Medicine
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“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”
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Gille, D., Eenennaam, J. P. V., Famula, T. R., Schreier, A. D., Beer, K., Struffenegger, P., Renschler, B., Bishop, S., & Doroshov, S. I. (2017) · Aquaculture · doi:10.1016/j.aquaculture.2017.03.045 · Cited by 15
Zafar, M. U., Baber, U., Smith, D. A., Sartori, S., Contreras, J., Rey-Mendoza, J., Linares-Koloffon, C. A., Escolar, G., Mehran, R., Fuster, V., et al. (2017) · Thrombosis and Haemostasis · doi:10.1160/th17-04-0277 · Cited by 15
Diestelkamp, S., Wartberg, L., Kaess, M., Bauer, S., Rummel‐Kluge, C., Becker, K., Eschenbeck, H., Salize, H. J., Moessner, M., Baldus, C., et al. (2019) · Trials · doi:10.1186/s13063-018-3160-z · Cited by 14
Desjardins, L., Dionne, A., Meloche‐Dumas, L., et al. (2020) · Pediatric Cardiology · doi:10.1007/s00246-020-02340-z · Cited by 14
“We repeated the analyses using a random slope mixed model to assess a robust estimation of standard errors [12].”
MethodChanges in physical activity behavior and development of cardiovascular risk in children
Lona, G., Hauser, C., Köchli, S., Infanger, D., Endes, K., Faude, O., & Hanssen, H. (2021) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.13931 · Cited by 16
Voulgarelis, D., Bulusu, K. C., & Yates, J. W. T. (2022) · Journal of Biological Dynamics · doi:10.1080/17513758.2022.2061615 · Cited by 14
“Due to the ability of NLME models to capture correlations between data, such as multiple measurements from the same study or from the same individual, they are very suitable for modelling multiple tumour growth data since they can fit the whole dataset without the need to fit each curve individually or assume independ…”
BackgroundLudmer, J. A., Sanches, M., Propp, L., & Andrade, B. F. (2017) · Child Psychiatry & Human Development · doi:10.1007/s10578-017-0732-1 · Cited by 13
Blozis, S. A., & Craft, M. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02133-1 · Cited by 15
Polack, R. G., Chertkof, J., Hedy Kober, A., & Joormann, J. (2021) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-021-00803-2 · Cited by 13
Pediatric Resident Perspectives on the Impact of COVID-19 on Training
Winn, A. S., Myers, R., Grow, H. M., Hilgenberg, S. L., Lieberman, R. H., Naifeh, M. M., Unaka, N. I., & Schwartz, A. (2021) · Hospital Pediatrics · doi:10.1542/hpeds.2021-005994 · Cited by 13
Savoy, A., Patel, H., Flanagan, M., Daggy, J., Russ, A. L., & Weiner, M. (2018) · Applied Ergonomics · doi:10.1016/j.apergo.2018.05.013 · Cited by 14
Stevens, C. J., Hegel, M. T., Bakitas, M. A., BRUCE, M. L., Azuero, A., Pisu, M., Chamberlin, M. D., Keene, K. S., Rocque, G. B., Ellis, D., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-036864 · Cited by 13
Delirium Mediates Incidence of Hospital-Associated Disability Among Older Adults
Freeman, H., Martin, R. C., Whittington, C., Zhang, Y., Osborne, J. D., O’Leary, T., Vickers, J. K., Flood, K. L., Skains, R. M., Markland, A. D., et al. (2023) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2023.02.006 · Cited by 13
Exercise Intervention and Hospital-Associated Disability
Rodríguez-López, C., Mayordomo‐Cava, J., Zarralanga-Lasobras, T., Estarlich, V. R., Vidán, M. T., Ortiz-Alonso, J., Valenzuela, P. L., Rodríguez‐Romo, G., Lucía, A., & Rexach, J. A. S. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.55103 · Cited by 13
Impact of Fibromyalgia in the Sit‐to‐Stand‐to‐Sit Performance Compared With Healthy Controls
Collado‐Mateo, D., Adsuar, J. C., Domínguez‐Muñoz, F. J., Olivares, P. R., & Gusi, N. (2016) · PM&R · doi:10.1016/j.pmrj.2016.10.006 · Cited by 15
The bayesvl package: An R package for implementing and visualizing Bayesian statistics
La, V., Vuong, Q., Tran, T., Nguyen, M., Ho, T. M., & Ho, M.-T. (2022) · SoftwareX · doi:10.1016/j.softx.2022.101245 · Cited by 12
Olsen, H., & OLSEN, M. E. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1055298 · Cited by 11
Hauser, C., Lichtenstein, E., Nebiker, L., Streese, L., Köchli, S., Infanger, D., Faude, O., & Hanssen, H. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1243434 · Cited by 13
Lund, K., Knudsen, T., Kjeldsen, J., Nielsen, R. G., Juhl, C. B., & Nørgård, B. M. (2023) · Trials · doi:10.1186/s13063-023-07781-4 · Cited by 11
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Evaluation of the effect of a famotidine continuous rate infusion on intragastric pH in healthy dogs
Hedges, K., Odunayo, A., Price, J. M., Hecht, S., & Tolbert, M. K. (2019) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.15558 · Cited by 12
Joshanloo, M., Weijers, D., & Bond, M. H. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2021.110891 · Cited by 11
Bivariate relation of vascular health and blood pressure progression during childhood
Hauser, C., Lona, G., Köchli, S., Streese, L., Infanger, D., Faude, O., & Hanssen, H. (2023) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2023.117215 · Cited by 11
Sadrabad, A. Z., Abarghouei, S. A., Rad, R. F., et al. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.07.035 · Cited by 11
Ryan, P., Odunayo, A., Price, J. M., et al. (2020) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.15887 · Cited by 11
Lockertsen, Ø., Varvin, S., Færden, A., & Vatnar, S. K. B. (2020) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2020.11.003 · Cited by 11
Emmenegger, M., Kumar, S. S., Emmenegger, V., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.21.449211 · Cited by 11
Li, L., Wister, A., Lee, Y., & Mitchell, B. A. (2023) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbad075 · Cited by 11
Kaelin, V., Villegas, V. C., Chen, Y., Murphy, N. J., Papautsky, E. L., Dooling-Litfin, J. K., Leland, N. E., Maheshwari, V., McManus, B. M., & Khetani, M. A. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-051582 · Cited by 10
Tumour, whole‐blood, plasma and tissue concentrations of metformin in lung cancer patients
Phillips, J. D., Pooler, D. B., Ness, D. B., Fay, K. A., Tau, S. S., Demidenko, E., Hampsch, R. A., Lewis, L. D., & Miller, T. W. (2022) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.15546 · Cited by 13
Pushpass, R.-A. G., Alzoufairi, S., Mancini, A., Quilter, K., Fava, F., Delaiti, S., Vrhovšek, U., Christensen, C., Joyce, S. A., Tuohy, K. M., et al. (2022) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2022.10.013 · Cited by 11
Huguenard, A. L., Tan, G., Johnson, G. W., Adamek, M., Coxon, A. T., Kummer, T. T., Osbun, J. W., Vellimana, A. K., Limbrick, D. D., Zipfel, G. J., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0301154 · Cited by 12
Carbamoyl phosphate synthetase 1 (CPS1) as a prognostic marker in chronic hepatitis C infection
El‐Sheikh, R. M., Mansy, S. S., Nessim, I., Hosni, H. N., Hindawi, A. E., Hassanein, M. H., & AbdelFattah, A. S. (2019) · Apmis · doi:10.1111/apm.12917 · Cited by 10
How curricular changes influence medical students’ perceptions of basic science: A pilot study
Elfanagely, Y., Tanzer, J. R., Pulido, R. W., Rashid, H., & Copeland, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236365 · Cited by 10
Mashaphu, S., Wyatt, G. E., Zhang, M., Mthiyane, T., Liu, H., & Gomo, E. (2019) · AIDS Care · doi:10.1080/09540121.2019.1634785 · Cited by 9
“The sample size calculation was informed using several statistical approaches (Brown & Prescott, 2014; Diggle, Liang, & Zeger, 1994; Hintze, 2008; Liu & Wu, 2005).”
MethodHensel, D. J., Young, A. I., & Szymanski, K. M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292735 · Cited by 7
Potency Assay Variability Estimation in Practice
Li, H. G., Witkos, T. M., Umlauf, S. W., et al. (2024) · Pharmaceutical Statistics · doi:10.1002/pst.2408 · Cited by 9
Khan, A., Khan, S., & Shah, S. T. (2019) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2019.100439 · Cited by 9
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Lee, S. E., Han, K., Rho, M., & Kim, E. (2024) · European Journal of Radiology · doi:10.1016/j.ejrad.2024.111626 · Cited by 10
Joshanloo, M., Sirgy, M. J., & Park, J. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1977-2 · Cited by 9
The Relationship Between Prior Cancer Diagnosis and All-Cause Dementia Progression Among US Adults
Fowler, M. E., Wright, N. C., Triebel, K. L., Rocque, G. B., Irvin, M. R., & Kennedy, R. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220054 · Cited by 9
Influence of stiripentol on perampanel serum levels
Trabs, N., Trabs, M., Stodieck, S. R. G., et al. (2020) · Epilepsy Research · doi:10.1016/j.eplepsyres.2020.106367 · Cited by 8
Brain precapillary sphincters modulate myogenic tone in adult and aged mice
Fjorbak, C. L., Kutuzov, N. P., Groves, T., Lauritzen, M., & Grubb, S. (2025) · GeroScience · doi:10.1007/s11357-025-01720-8 · Cited by 7
Luckey, A., Alirol, E., Delhomme, S., O’Donnell, J. P., Bettiol, E., Mueller, J. P., O'Brien, S., & Gillon, J. (2023) · Clinical and Translational Science · doi:10.1111/cts.13487 · Cited by 6
Progression and variability of physiologic deterioration in an ovine model of lung infection sepsis
Yaghouby, F., Daluwatte, C., Fukuda, S., Nelson, C., Salsbury, J. R., Kinsky, M. P., Kramer, G. C., Strauss, D. G., Enkhbaatar, P., & Scully, C. G. (2017) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00122.2017 · Cited by 7
Analyzing Families of Experiments in SE: A Systematic Mapping Study
Santos, A., Gómez, O. S., & Juristo, N. (2018) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2018.2864633 · Cited by 10
Steer, C. D., Macleod, J., Tilling, K. M., Lim, A. G., Marsden, J., Millar, T., Strang, J., Telfer, M., Whitaker, H., Vickerman, P. T., et al. (2019) · Health Services and Delivery Research · doi:10.3310/hsdr07030 · Cited by 6
Madden, L. V., & Paul, P. A. (2020) · Phytopathology · doi:10.1094/phyto-11-19-0427-r · Cited by 7
Anjos-Ramos, L., Gama, L. A., Mati, V. L. T., Corá, L. A., Fujiwara, R. T., & Américo, M. F. (2015) · Acta Tropica · doi:10.1016/j.actatropica.2015.12.010 · Cited by 7
Biological therapy in patients with psoriasis: What we know about the effects on renal function
Veronesi, G., Guglielmo, A., Gardini, A., et al. (2021) · Dermatologic Therapy · doi:10.1111/dth.15202 · Cited by 7
A Bayesian Approach to Mixed Gamma Regression Models
Corrales, M. L., & Cepeda‐Cuervo, E. (2019) · Revista Colombiana de Estadística · doi:10.15446/rce.v42n1.69334 · Cited by 7
“…and, therefore, dependent data, arising for example when data are collected hierarchically, when observations are taken about related individuals, or when data are gathered over time regarding the same individuals (Ronquist & Huelsenbeck 2003, Vonesh 2006, Brown & Prescott 2014, Demidenko 2013).”
BackgroundNakagawa, S., Kato, Y., Totsuka, K., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-96619-x · Cited by 6
Emotion Regulation and Mental Health in Young Elite Athletes
Regborn, F., Holmström, S., Svensson, M., & Sjögren, M. (2025) · Sports · doi:10.3390/sports13090284 · Cited by 10
“To investigate within-individual associations, linear mixed models [47] were conducted.”
Real-Time Auto-Monitoring of Livestock: Quantitative Framework and Challenges
Brocklehurst, S., Fang, Z., & Butler, A. (2025) · Sensors · doi:10.3390/s25185871 · Cited by 6
Ahnesjö, J., Karlsson, P. S., & Bergman, P. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275886 · Cited by 6
Shelley, B., Göebel, A., Grant, S. N., Jackson, L., Jarrett, H., Jepson, M., Kerr, A., Marczin, N., Mehta, R. L., Melody, T., et al. (2023) · Trials · doi:10.1186/s13063-023-07463-1 · Cited by 6
Schueller, O. J. A., Regev, G., Singh, N. K., Willson, A., Beville, M., Kanji, N., Lohmer, L. R. L., & Patel, J. P. (2024) · Clinical Pharmacology in Drug Development · doi:10.1002/cpdd.1378 · Cited by 6
Boros, K., Dyson, S., Kovács, Á., et al. (2024) · Animals · doi:10.3390/ani14050812 · Cited by 6
Comparing techniques for aggregating interrelated replications in software engineering
Santos, A., & Juristo, N. (2018) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1145/3239235.3239239 · Cited by 5
Huang, L., Hu, H., Zhong, Z., Teng, C., He, B., & Yan, S. (2021) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.13443 · Cited by 6
Al-Mubarak, H. F. I., Bane, O., Gillingham, N., et al. (2024) · Abdominal Radiology · doi:10.1007/s00261-024-04212-z · Cited by 6
“We assessed the effect of software package and observer on radiomics features reproducibility by fitting a random intercept linear-mixed model [32] accounting for the correlation of the values from the same subjects.”
Schlattmann, P., Wieske, V., Bressem, K. K., Götz, T., Schuetz, G. M., Andreini, D., Pontone, G., Alkadhi, H., Hausleiter, J., Zimmermann, E., et al. (2024) · Insights into Imaging · doi:10.1186/s13244-024-01702-y · Cited by 6
“…(GLMM), i.e. multivariable logistic regression model with a study-speci fi c random intercept to take heterogeneity between studies into account [10] by extending the method suggested by Coughlin et al with random effects, which provides a one-step approach for a diagnostic IPD meta-analysis…”
MethodResultRhynchosporium leaf scald disease incidence: seed source and spatial pattern
Topp, K., Hughes, G., Nevison, I. M., et al. (2019) · Plant Pathology · doi:10.1111/ppa.13019 · Cited by 6
Estimating individual benefits of medical or behavioral treatments in severely ill patients
DÍAZ, F. J. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280217739033 · Cited by 6
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Dubowitz, T., Ghosh‐Dastidar, B., Beckman, R., Richardson, A. S., Hunter, G., Burns, R. M., Cantor, J., Mendoza-Graf, A., & Collins, R. L. (2023) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2023.11.005 · Cited by 5
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“The finding underscores the advantage of using more advanced statistical modelling [42], in particular, in studies with smaller samples and with many repeated observations.”
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Intensive longitudinal modelling predicts diurnal activity of salivary alpha-amylase
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“50 Mechanism of action analyses will be conducted using a multilevel structural equation modelling framework to assess mediation.”
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“For our longitudinal analyses of mental health measures (i.e. psychological distress, depression symptoms, satisfaction with life), we used linear mixed models (LMMs; Brown & Prescott, 2014).”
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The Effects of Visual Parabolic Motion on the Subjective Vertical and on Interception
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Impact of prior antihypertensive treatment on COVID-19 outcomes, by active ingredient
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Impacts of colder and hotter climates on richer and poorer people’s daily functioning
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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 ›
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