Mixed-Effects Models in S and S-PLUS
By Josae C. Pinheiro, D. Bates. 2002
1,587 citations recorded by the source corpus.
Subfields: Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/14ce8e1fba34b4bfa8823997f05929d61232ee88
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
Citations in the corpus
- Wind field and sex constrain the flight speeds of central‐place foraging albatrosses (2009, methodology): “We modeled inter- and intraspecific variations in ground speed Vg in response to wind speed component Vwf, and so on, using linear mixed-effects (LMEs) models fitted using maximum likelihood (Pinheiro and Bates 2000), implemented with the nlme package (Pinheiro et al. 2005).”
- Relative allocation to horn and body growth in bighorn rams varies with resource availability (2004, neutral): “We assessed model goodness-of-fit using Akaike’s information criterion (Pinheiro and Bates, 2000).”
- From start to finish: a framework for the production of small area official statistics (2018, methodology): “In the second step the GLS and standard linear regression models with the set of six covariates that were identified above were compared against each other.”
- Family Processes and Suicidal Ideation among Chinese Adolescents in Hong Kong (2011, positive): “Researchers advocated the use of this variance-covariance testing approach as it improves model predictions and statistic inferences, especially when examining random effects models[43,44].”
- The BLUPs are not "best" when it comes to bootstrapping (2002, neutral): “intervals give by lme, which are approximate con3dence intervals that rely on the empirical information matrices and conditional t-tests (see Pinheiro and Bates, 2000 ).”
- FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters (2008, positive): “This grouping is specied in adding | Center to the formula similar to the notation used in nlme ( Pinheiro and Bates 2000 ).”
- ASREML user guide release 1.0 (2002, methodology): “Pinheiro and Bates (2000) used a nonlinear mixed effects modelling approach, in which they modelled the growth curves by a three parameter logistic function of age, given by y = φ1 1 + exp [−(x− φ2)/φ3] (16.11) where y is the trunk circumference, x is the tree age in days since December 31 1968, φ1…”
- Density-dependent tree mortality in pinyon-juniper woodlands (2008, positive): “Mixed-effects models provide flexibility in modeling the within-group correlation often present in grouped data ( Pinheiro and Bates, 2000 ).”
- Linear mixed-effects modeling approach to FMRI group analysis (2013, positive): “The degrees of freedom for the numerator and denominator of each F-statistic are also similarly determined (Pinheiro and Bates, 2000).”
- Human perturbations reduce dung beetle diversity and dung removal ecosystem function (2021, methodology): “The relationships of abundance, species richness, and functional richness (i.e., number of functional groups, out of the nine defined above) with total dung removal (prediction 2) were evaluated with mixed- effects models (Pinheiro & Bates, 2000).”
- Natural phenological variation in aspen (Populus tremula): the SwAsp collection (2008, positive): “For each trait analyzed, the clonal best linear unbiased predictors (BLUPs) and variance components were estimated using restricted maximum likelihood (REML) techniques with either the lme or lmer function in R ( Pinheiro and Bates 2000 ).”