Confidence Interval Approximation For Treatment Variance In Random Effects Models
نویسندگان
چکیده
منابع مشابه
Parameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کاملMethods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models
BACKGROUND Meta-regression is becoming increasingly used to model study level covariate effects. However this type of statistical analysis presents many difficulties and challenges. Here two methods for calculating confidence intervals for the magnitude of the residual between-study variance in random effects meta-regression models are developed. A further suggestion for calculating credible in...
متن کاملEstimation of Variance Components for Body Weight of Moghani Sheep Using B-Spline Random Regression Models
The aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of Moghani sheep, using random regression models based on B-Splines functions. The data set included 9165 body weight records from 60 to 360 days of age from 2811 Moghani sheep, collected between 1994 to 2013 from Jafar-Abad Animal Research and Breeding Institute, Ardabil province,...
متن کاملA modification of the Hartung-Knapp confidence interval on the variance component in two-variance-component models
We consider a construction of approximate confidence intervals on the variance component σ 1 in mixed linear models with two variance components with non-zero degrees of freedom for error. An approximate interval that seems to perform well in such a case, except that it is rather conservative for large σ 1/σ , was considered by Hartung and Knapp in [6]. The expression for its asymptotic coverag...
متن کاملDiagnosing Explainable Heterogeneity of Variance in Random Effects Models
Data analytic tools for models other than the normal linear regression model are relatively rare. Here we develop plots and diagnostic statistics for non-constant variance for the random effects model (REM). REMs for longitudinal data include both within-and between-subject variances. A basic assumption is that the two variance terms are constant across subjects. However, we often find that the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Global Journal of Pure and Applied Sciences
سال: 2009
ISSN: 1118-0579
DOI: 10.4314/gjpas.v15i2.45390