Search Results - subject:"Generalized Linear Models"

Detailed decompositions in generalized linear models

Kaiser, Boris - 2013

to all types of generalized linear models. A simulation exercise demonstrates that our method produces more convincing …

Persistent link: https://www.econbiz.de/10010207376

Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables

Bergtold, Jason S.; Spanos, Aris - Agricultural and Applied Economics Association - AAEA - 2005

erroneous inferences. Furthermore, methods for trying to alleviate such problems, such as univariate generalized linear models …

Persistent link: https://www.econbiz.de/10005477054

Review of Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff, Glidden, Shiboski, and McCulloch

Lemeshow, Stanley - In: Stata Journal 5 (2005) 2, pp. 274-278

The new book by Vittinghoff et al. (2005) is reviewed.

Persistent link: https://www.econbiz.de/10005748359

Dynamics of the mental health workforce: investigating the composition of physicians and other health providers

Stefos, Theodore; Burgess, James; Cohen, Jeffrey; … - In: Health Care Management Science 15 (2012) 4, pp. 373-384

We evaluate how changes to mental health workforce levels, composition, and degree of labor substitution, may impact typical practice output. Using a generalized Leontief production function and data from 134 U.S. Department of Veterans Affairs (VA) mental health practices, we estimate the...

Persistent link: https://www.econbiz.de/10010865020

On weak dependence conditions for Poisson autoregressions

Doukhan, Paul; Fokianos, Konstantinos; Tjøstheim, Dag - In: Statistics & Probability Letters 82 (2012) 5, pp. 942-948

We consider generalized linear models for regression modeling of count time series. We give easily verifiable …

Persistent link: https://www.econbiz.de/10011039818

Finite population estimation under generalized linear model assistance

Rondon, Luz Marina; Vanegas, Luis Hernando; Ferraz, … - In: Computational Statistics & Data Analysis 56 (2012) 3, pp. 680-697

Finite population estimation is the overall goal of sample surveys. When information regarding auxiliary variables are available, one may take advantage of general regression estimators (GREG) to improve sample estimates precision. GREG estimators may be derived when the relationship between...

Persistent link: https://www.econbiz.de/10010574478

An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors

She, Yiyuan - In: Computational Statistics & Data Analysis 56 (2012) 10, pp. 2976-2990

problems of interest often go beyond Gaussian models. To meet these challenges, nonconvex penalized generalized linear models …

Persistent link: https://www.econbiz.de/10010577719

Robust analysis of longitudinal data with nonignorable missing responses

Sinha, Sanjoy - In: Metrika 75 (2012) 7, pp. 913-938

We encounter missing data in many longitudinal studies. When the missing data are nonignorable, it is important to analyze the data by incorporating the missing data mechanism into the observed data likelihood function. The classical maximum likelihood (ML) method for analyzing longitudinal...

Persistent link: https://www.econbiz.de/10010593403

Instrumental variable approach to covariate measurement error in generalized linear models

Abarin, Taraneh; Wang, Liqun - In: Annals of the Institute of Statistical Mathematics 64 (2012) 3, pp. 475-493

Persistent link: https://www.econbiz.de/10010539480

Rethinking Age-Period-Cohort Mortality Trend Models

Alai, Daniel; Sherris, Michael - ARC Centre of Excellence in Population Ageing Research … - 2012

trends are modelled with distinct effects for each age, calendar year, and birth year in a generalized linear models …

Persistent link: https://www.econbiz.de/10010551700