TY - JOUR
T1 - Descriptive modeling of longitudinal outcome measures in traumatic brain injury
T2 - A national institute on disability and rehabilitation research traumatic brain injury model systems study
AU - Pretz, Christopher R.
AU - Kozlowski, Allan J.
AU - Dams-O'Connor, Kristen
AU - Kreider, Scott
AU - Cuthbert, Jeffery P.
AU - Corrigan, John D.
AU - Heinemann, Allen W.
AU - Whiteneck, Gale
N1 - Funding Information:
Supported by the Traumatic Brain Injury Model Systems National Data and Statistical Center , the National Institute on Disability and Rehabilitation Research (NIDRR) (grant no. H133A110006 ); the NIDRR through the Rehabilitation Research and Training Center on Improving Measurement of Medical Rehabilitation Outcomes (grant no. H133B090024 ); and Traumatic Brain Injury Model System Centers grants from the NIDRR to Ohio State University (grant no. H133A070029 ) and Mount Sinai Medical Center (grant no. H133A070033 ).
PY - 2013/3
Y1 - 2013/3
N2 - Establishing accurate mathematical models of outcome measures is essential in understanding change throughout the rehabilitation process. The goal of this study is to identify the best-fitting descriptive models for a set of commonly adopted outcome measures found within the Traumatic Brain Injury Model Systems National Database where the modeling is based on data submission through 2011 and the complete range of recorded time points since injury for each individual, where time points range from admission to rehabilitation to 20 years postinjury. The statistical methodology and the application of the methodology contained herein may be used to assist researchers and clinicians in (1) modeling the outcome measures considered, (2) modeling various portions of these outcomes by stratification and/or truncating time periods, (3) modeling longitudinal outcome measures not considered, and (4) establishing models as a necessary precursor in conducting individual growth curve analysis.
AB - Establishing accurate mathematical models of outcome measures is essential in understanding change throughout the rehabilitation process. The goal of this study is to identify the best-fitting descriptive models for a set of commonly adopted outcome measures found within the Traumatic Brain Injury Model Systems National Database where the modeling is based on data submission through 2011 and the complete range of recorded time points since injury for each individual, where time points range from admission to rehabilitation to 20 years postinjury. The statistical methodology and the application of the methodology contained herein may be used to assist researchers and clinicians in (1) modeling the outcome measures considered, (2) modeling various portions of these outcomes by stratification and/or truncating time periods, (3) modeling longitudinal outcome measures not considered, and (4) establishing models as a necessary precursor in conducting individual growth curve analysis.
KW - Longitudinal studies
KW - Regression analysis
KW - Rehabilitation
KW - Rehabilitation outcome
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=84875372870&partnerID=8YFLogxK
U2 - 10.1016/j.apmr.2012.08.197
DO - 10.1016/j.apmr.2012.08.197
M3 - Comment/debate
C2 - 22902888
AN - SCOPUS:84875372870
SN - 0003-9993
VL - 94
SP - 579
EP - 588
JO - Archives of Physical Medicine and Rehabilitation
JF - Archives of Physical Medicine and Rehabilitation
IS - 3
ER -