Applied Mixed Models in Medicine

By H. Brown, Robin Presco. Technometrics, 2000

1,681 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Health Information Management, Oncology

View Paper: https://www.semanticscholar.org/paper/be0a23123b797e29e9f6b4a05f0e1972c415f5c8

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Citations in the corpus

Testing the minimum approach distance guidelines for incubating Royal penguins Eudyptes schlegeli (2005, methodology): “Prior to fixed effects testing, selection of appropriate covariance structures were undertaken using Akaike Information Criterion (AIC), Schwarz s Bayesian Criterion (BIC) and Chi-Square tests of comparisons of 2 Log Likelihoods, following Brown and Prescott (1999).”
MCMC methods for multi-response generalized linear mixed models (2010, methodology): “Due to their flexibility, linear mixed models are now widely used across the sciences (Brown and Prescott 1999; Pinheiro and Bates 2000; Demidenko 2004).”
Mixed Effects Models and Extensions in Ecology with R (2009, background): “We strongly recommend Snijders and Bosker (1999), Raudenbush and Bryk (2002), Goldstein (2003), Fitzmaurice et al. (2004), Brown and Prescott (2006), and for the GAMM Rupert et al. (2003) and Wood (2006).”
Advanced Bayesian Multilevel Modeling with the R Package brms (2017, background): “Multilevel models (MLMs) offer great ﬂexibility for researchers across sciences (Brown and Prescott, 2015; Demidenko, 2013; Gelman and Hill, 2006; Pinheiro and Bates, 2006).”
Longitudinal modeling of the relationship between age and maximal heart rate. (2007, methodology): “Using the sample size–estimation formula suggested by Brown and Prescott (4), the 132 members and their repeated GXT measures investigated in the current study were sufficient to detect a heart rate difference of less than 3 bpm at the 5% sig-”
Poor airway function in early infancy and lung function by age 22 years: a non-selective longitudinal cohort study. (2007, methodology): “A random effects model was used to assess follow-up spirometry longitudinally (14)(15).”
Experimental Design and Analysis for Psychology (2009, methodology): “A variance/covariance matrix is obtained from a data matrix with three steps: (1) subtract the mean of each column from each element of this column (this is “centering”); (2) compute the cross-product matrix from the centered matrix; and (3) divide each element of the cross-product matrix by the num”
Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011, methodology): “These models were chosen because they can handle a certain amount of nonrandom missing data [48].”
The development of fundamental motor skills of four‐ to five‐year‐old preschool children and the effects of a preschool physical education curriculum (2011, methodology): “The effects of linear age, non-linear age and the PEC on the development of the FMS variables were studied with a repeated measurements analysis by linear mixed models (Brown & Prescott, 1999).”
Reproductive success of house sparrows along an urban gradient (2008, methodology): “Generalized linear mixed models (GLMMs; Brown & Prescott, 1999) were used to identify correlates of reproductive success and chick condition.”
Performance of the Kenward–Roger Method when the Covariance Structure is Selected Using AIC and BIC (2005, background): “Statisticians usually base tests and confidence intervals for fixed effects on Wald-type statistics (Brown and Prescott, 1999 ; Schaalje et al, 2002 ) which have good large sample properties but can have poor small sample statistical properties.”