SBIR-STTR Award

Tailoring Psychometric Techs for Epidem & Clin Appl
Award last edited on: 12/23/2014

Sponsored Program
SBIR
Awarding Agency
NIH : NIAAA
Total Award Amount
$824,695
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Linda Muthen

Company Information

Muthen And Muthen (AKA: Bengt O Muthen~ MPlus)

3463 Stoner Avenue
Los Angeles, CA 90066
   (310) 391-9971
   Sales@StatModel.com
   www.statmodel.com
Location: Single
Congr. District: 37
County: Los Angeles

Phase I

Contract Number: N43AA042008-000
Start Date: 8/15/1994    Completed: 00/00/00
Phase I year
1994
Phase I Amount
$74,716
Recent advances in psychometric methods for categorical and other non-normal data, such asfactor analysis, structural equation modeling, and longitudinal modeling, have considerable promise forapplications in the fields of epidemiological and clinical research where they are not currently in commonuse. The major objective of this proposal is to determine how best to tailor these methods forepidemiological and clinical applications. Statistical techniques will be developed and their samplingbehavior investigated by simulated data. Real data will be used to try out the methodology in practice.The results of this research would be the basis for the development of computer software and/orpedagogical writings in Phase II. Given the lack of software for and pedagogical writings aboutpsychometric methods applied to epidemiology, it would appear there would be a demand for Phase IIproducts.

Phase II

Contract Number: N/A
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
1995
Phase II Amount
$749,979
___(NOTE: Note: no official Abstract exists of this Phase II projects. Abstract is modified by idi from relevant Phase I data. The specific Phase II work statement and objectives may differ)___ Recent advances in psychometric methods for categorical and other non-normal data, such asfactor analysis, structural equation modeling, and longitudinal modeling, have considerable promise forapplications in the fields of epidemiological and clinical research where they are not currently in commonuse. The major objective of this proposal is to determine how best to tailor these methods forepidemiological and clinical applications. Statistical techniques will be developed and their samplingbehavior investigated by simulated data. Real data will be used to try out the methodology in practice.The results of this research would be the basis for the development of computer software and/orpedagogical writings in Phase II. Given the lack of software for and pedagogical writings aboutpsychometric methods applied to epidemiology, it would appear there would be a demand for Phase IIproducts.