USA flag logo/image

An Official Website of the United States Government

Generalized Linear Mixed-Effects Models in R

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
63210
Program Year/Program:
2003 / STTR
Agency Tracking Number:
A2-0841
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Toyon Research Corp.
6800 Cortona Drive Goleta, CA 93117-3021
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2003
Title: Generalized Linear Mixed-Effects Models in R
Agency / Branch: DOD / ARMY
Contract: DAMD1702C0119
Award Amount: $500,000.00
 

Abstract:

The University of Wisconsin and Toyon Research Corporation propose developing a software package in the R statistical environment for estimating generalized linear mixed-effects models (GLMMs) from multilevel, categorical data (e.g., binary, ordinal ormultinomial data). The proposed software package should enable data analysts and researchers to more accurately model and understand this type of survey data. The package is aimed toward a user who may be familiar with mixed-effects models, but is not anexpert in the numerical procedures required to estimate GLMMs.Estimating the parameters for a GLMM can be a computationally intensive task, and remains an active field of academic and industrial research. Furthermore, a brute force approach, which may converge extremely slowly on a desktop computer, is unlikely toestimate an accurate GLMM. In our proposed approach, we avoid a large computational problem from the outset by proceeding in a staged fashion. We begin with an approximate solution, and gradually increase the model accuracy using more numerically intensivemethods. In this staged approach, the most numerically intensive methods operate on a smaller, better defined problem, which results in a fast and accurate solution. The successful completion of this research will result in extensions to the NLME R packagethat will enable statisticians and analysts to build generalized linear mixed-effects models for binary and ordinal data, emphasizing data collected in longitudinal studies.

Principal Investigator:

Ben C. Juricek
Analyst
8059686787
bjuricek@toyon.com

Business Contact:

Marcy Lindbery
Director of Contracts
8059686787
mlindbery@toyon.com
Small Business Information at Submission:

Toyon Research Corp.
Suite A, 75 Aero Camino Goleta, CA 93117

EIN/Tax ID: 953526665
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF WISCONSIN-MADISON
Research & Sponsored Programs, 750 University Ave.
Madison, WI 53706
Contact: Doug Bates
Contact Phone: (608) 263-8531
RI Type: Nonprofit college or university