QIC Program and Model Selection in GEE Analyses
نویسندگان
چکیده
منابع مشابه
QIC program and model selection in GEE analyses
The generalized estimating equation (GEE) approach is a widely used statistical method in the analysis of longitudinal data in clinical and epidemiological studies. It is an extension of the generalized linear model (GLM) method to correlated data such that valid standard errors of the parameter estimates can be drawn. Unlike the GLM method, which is based on the maximum likelihood theory for i...
متن کاملA SAS/IML software program for GEE and regression diagnostics
A SAS/IML software program is described that computes regression diagnostics for generalized estimating equations. These diagnostics are computationally efficient and accurate approximations for the effect of deleting one observation or one cluster on individual regression coefficients (DFBETA) or on the overall fit of the model (Cook’s Distance). New formulae for the diagnostics are presented ...
متن کاملBias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data
In this paper, we present a generalized estimating equations based estimation approach and a variable selection procedure for single-index models when the observed data are clustered. Unlike the case of independent observations, bias-correction is necessary when general working correlation matrices are used in the estimating equations. Our variable selection procedure based on smooth-threshold ...
متن کاملSemantical Analyses Dependence Analyses Program
Pips is an experimental tool to implement and evaluate various inter-procedural compilation, parallelization, analysis and optimization techniques. This paper focuses on the workbench used to build these compilers. It includes the management of data structures, of dependences between the various analysis and transformation phases, and the mathematical libraries used to implement some of the mos...
متن کاملConstitutive Model Selection Based on Deterministic and Probabilistic Analyses
Effective predictive models of the strength of skeletal structures require a detailed and realistic description of bone geometry, material properties, and boundary conditions, as well as incorporation of the variability and uncertainty inherent in musculoskeletal systems. As part of a larger effort towards developing predictive models of clinical fracture, we developed a phenomenological consti...
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: The Stata Journal: Promoting communications on statistics and Stata
سال: 2007
ISSN: 1536-867X,1536-8734
DOI: 10.1177/1536867x0700700205