Cited by 284Statistical Methods and Bayesian InferenceStatistical Methods in Clinical TrialsSpatial and Panel Data Analysis

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Applied Mixed Models in Medicine

Brown, Helen, Prescott, Robin·2014·Wiley eBooks

DOI 10.1002/9781118778210

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Background
Bayesian multilevel random‐effects model for estimating noise in image sensors
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Result
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Background
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Influential
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References
Zhou, S., & Chen, Y. (2022) · doi:10.1002/9781119666271.biblio
References
Riley, R. D., Tierney, J. F., & Stewart, L. A. (2021) · Wiley eBooks · doi:10.1002/9781119333784.refs2
The Measurement of Treatment Effects
Senn, S. J. (2021) · doi:10.1002/9781119238614.ch8
Multiplicity
Senn, S. J. (2021) · doi:10.1002/9781119238614.ch10
Multicentre Trials
Senn, S. J. (2021) · doi:10.1002/9781119238614.ch14
A new estimator to control collinearity problems in correlated binary response
Khalili, S., Faradmal, J., & Mahjub, H. (2022) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2021.2005097
“REML is commonly used to model correlated binary data, but it is not considered collinearity (Drum and McCullagh 1993; Brown and Prescott 2014).”
Method
Random Effects Models
Campbell, M., & Jacques, R. (2023) · doi:10.1002/9781119401407.ch5
Orman ağacı ıslah çalışmalarında doğrusal karma model seçimi
Mehmet, A. C. E. T., & Ölmez, Z. (2023) · Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi · doi:10.17474/artvinofd.1260542
Wprowadzenie do analizy wariancji z czynnikami losowymi
Grzeszkiewicz-Radulska, K. (2023) · Wydawnictwo Uniwersytetu Łódzkiego eBooks · doi:10.18778/8331-176-0
Longitudinal Studies in Pediatric Gastrointestinal Surgery: Theory and Practice
Stellato, R. K. (2023) · doi:10.33540/2051
An´alise de dados longitudinais sobre desenvolvimento infantil por meio de modelos lineares mistos trivariados derivados de c´opulas
Oliveira, A., Batista, A. C., Oliveira, M., Ferreira, P. H., & Fiaccone, R. L. (2024) · Ciência e Natura · doi:10.5902/2179460x70316
Obstructive Coronary Artery Disease Improved Prediction by the COME-CCT Pretest Probability Calculator With Cardiac CT
Wieske, V., Walther, M., Mohamed, M. M. A., Weickert, B., Andrzejewski, S., Dubourg, B., Andreini, D., Pontone, G., Alkadhi, H., Hausleiter, J., et al. (2025) · JACC Advances · doi:10.1016/j.jacadv.2025.102014
Progress in Interdisciplinary Research: Evidence From the COVID-19 Pandemic
Huang, S. (2025) · SAGE Open · doi:10.1177/21582440251361767
Two-photon microscopy of brain endothelial glycocalyx uncovers spatial heterogeneity, vesicular transport, and lectin-binding kinetics in the living brainPreprint
Zhukov, O., Kutuzov, N. P., Groves, T., Janiurek, M. M., Dabelsteen, S., Hay‐Schmidt, A., Wandall, H. H., Goth, C. K., DellaValle, B., Lauritzen, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.15.694376
Additional file 3 of The ELSA trial: single versus combinatory effects of non-prohibited beta-2 agonists on skeletal muscle metabolism, cardio-pulmonary function and endurance performance—study protocol for a randomized 4-way balanced cross-over trial
Zügel, M., Bizjak, D. A., Nussbaumer, D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.17163243
Additional file 1 of The ELSA trial: single versus combinatory effects of non-prohibited beta-2 agonists on skeletal muscle metabolism, cardio-pulmonary function and endurance performance—study protocol for a randomized 4-way balanced cross-over trial
Zügel, M., Bizjak, D. A., Nussbaumer, D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.17163237
Additional file 2 of The ELSA trial: single versus combinatory effects of non-prohibited beta-2 agonists on skeletal muscle metabolism, cardio-pulmonary function and endurance performance—study protocol for a randomized 4-way balanced cross-over trial
Zügel, M., Bizjak, D. A., Nussbaumer, D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.17163240
Additional file 1 of Use of olanzapine to treat agitation in traumatic brain injury: study protocol for a randomised controlled trial
Phyland, R. K., McKay, A., Olver, J., Walterfang, M., Hopwood, M., Hicks, A. J., Mortimer, D., & Ponsford, J. L. (2020) · Figshare · doi:10.6084/m9.figshare.12679881
Can a digital intervention ‘Momentum’ improve social functioning and transdiagnostic symptoms for Australian youth at ultrahigh risk for psychosis? Protocol for a superiority randomised controlled trial comparing treatment as usual with and without Momentum
Mangelsdorf, S. N., Cagliarini, D., Nelson, B., McEnery, C., Whiting, J., Chinnery, G. L., Valentine, L., Lee, Y. Y., Mihalopoulos, C., Liu, V., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-102132
Doppler assessment of testicular arterial blood flow in stallions: influence of age and 180° spermatic cord torsion
Silva, D. F., Barbosa, D. P., Rodrigues, J. D. P., et al. (2026) · Theriogenology · doi:10.1016/j.theriogenology.2026.117837
Développement méthodologique pour l'analyse des troubles de la commande du membre supérieur des enfants avec une paralysie cérébrale unilatérale spastique : implications pour les thérapies et traitements associés
Sarcher, A. (2018) · doi:10.70675/646db7b5z24edz4da8za489z65ccbf97df12
Sélection bayésienne de variables pour données longitudinales avec effets différentiels dans le temps : application à l’amélioration génétique
Heuclin, B. (2021) · doi:10.70675/2d502f9ez33bdz4127z869dz0e177c66ed3b
Assessing Year-Round Capacity of Single-Species and Mixed Hedges to Provide Rainfall Attenuation—Case Study of Containerised Model Hedges
Blanuša, T., Hadley, J., Larsen, E. K., et al. (2026) · Environments · doi:10.3390/environments13050252
Analysis of driver expectancy in cut-in maneuvers: A Virtual reality driving simulator study
Alqahtani, T. S. (2026) · Transportation research procedia · doi:10.1016/j.trpro.2026.04.058
Tactile sensation moderates the association between hand dexterity and higher-level cognition in older adults with and without MCI
Kobayashi‐Cuya, K. E., Sakurai, R., Ogawa, S., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1833368
“LMMs were selected because they ﬂexibly accommodate ﬁxed-eﬀect predictors and provide robust estimation under missing-at-random assumptions (Brown and Prescott, 2014).”
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Chen, W., Bian, M., & Shu, X. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-3485-1_23
Effects of probiotic supplementation on sleep and psychological outcomes in adults with mild-to-moderate insomnia symptoms and work-related stress: A randomized, placebo-controlled, double-blind trial
Binda, S., Auclair‐Ouellet, N., Kassem, O., Ivers, H., Milev, R. V., Lamy, M., Chen, S., Oula, M.-L., & Morin, C. M. (2026) · Sleep Medicine · doi:10.1016/j.sleep.2026.109223
Association of an AI-Enabled Gamified Mobile Health App on Blood Pressure Outcomes in a Matched Cohort
Gottlieb, M. A., Pallok, K., Zimmermann, L., Thompson, D., Ansell, D. A., Weaver, A., Kersemakers, D., Niehaus, K. E., & Walker, G. (2026) · Journal of General Internal Medicine · doi:10.1007/s11606-026-10684-0

Authors: Brown, H., & Prescott, R.
ORCID: Prescott, Robin
Venue: Wiley eBooks
Publisher: Wiley
Published: 2014-12-12
DOI: 10.1002/9781118778210
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
Licence: doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
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

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