REMLRestricted Maximum Likelihood (statistical)
References in periodicals archive ?
To further explore the associations of clinical factors and the presence of higher tonic EMG density, the data including age, gender, BMI, disease type, disease duration, TST, SE, SL, REML, WASO, NREM1, NREM2, NREM3, REM, arousal index, AHI, phasic EMG density, ESS score, MOCA score, and LEDs were subjected to regression analysis.
When outliers are present in the data, REML and ML estimates can be adversely impacted (Pinheiro, Liu, and Wu, 2001).
Table 1 presents estimates of REML, standard error (se), p-value and confidence intervals (CI) of 95% for the fixed effects model and variance components, considering the Sham group as a reference.
A REML variance component analysis was performed on the fecundity and fertility data from these pairs with dose and type of cross as variables.
DXMRR--A program to estimate covariance functions for longitudinal data by REML.
Using the REML method in the EC, at an approximate age of 18 months, Pereira, Yokoo, Bignardi, Sezana and Albuquerque (2010) estimated heritability value of 0.
En general, los algoritmos para REML son mas complicados de programar que los metodos via muestreo de Gibbs (Misztal, 2008); sobre todo cuando los modelos son mas complejos e involucran la estimacion de varios parametros y sus relaciones a partir de multiples caracteres.
The prediction of genetic values using BLUP depends on the estimates of the variance components associated with the random effects of the model, and one of the preferred methodologies to estimate variance components is REML (Arnhold et al.
When a REML LMM was applied to determine whether the differences observed persisted after accounting for differences in age, sex and income, this pattern was unchanged (p<0.
When the residuals are not normally distributed, bootstrapping has been presented (Carpenter, Goldstein, & Rasbash, 2003; Goldstein, 2011; Wang, Carpenter, & Kepler, 2006; Wang, Shi, & Fisher, 2011) as a potential strategy for dealing with the bias in the variance estimates and standard errors that results from using ML or REML estimation.
the percent variation explained by the random effects of female, brood nested within female, and residual variation in an REML ANOVA).