Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study

Christopher R. Pretz; Allan J. Kozlowski; Kristen Dams-O'Connor; Scott Kreider; Jeffery P. Cuthbert; John D. Corrigan; Allen W. Heinemann; Gale Whiteneck

doi:10.1016/j.apmr.2012.08.197

Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study

Christopher R. Pretz^*, Allan J. Kozlowski, Kristen Dams-O'Connor, Scott Kreider, Jeffery P. Cuthbert, John D. Corrigan, Allen W. Heinemann, Gale Whiteneck

^*Corresponding author for this work

Physical Medicine and Rehabilitation

Research output: Contribution to journal › Comment/debate › peer-review

26 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	579-588
Number of pages	10
Journal	Archives of physical medicine and rehabilitation
Volume	94
Issue number	3
DOIs	https://doi.org/10.1016/j.apmr.2012.08.197
State	Published - Mar 2013

Funding

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 ).

Keywords

Longitudinal studies
Regression analysis
Rehabilitation
Rehabilitation outcome
Traumatic brain injury

ASJC Scopus subject areas

Rehabilitation
Physical Therapy, Sports Therapy and Rehabilitation

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10.1016/j.apmr.2012.08.197

Cite this

Pretz, C. R., Kozlowski, A. J., Dams-O'Connor, K., Kreider, S., Cuthbert, J. P., Corrigan, J. D., Heinemann, A. W., & Whiteneck, G. (2013). Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study. Archives of physical medicine and rehabilitation, 94(3), 579-588. https://doi.org/10.1016/j.apmr.2012.08.197

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abstract = "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.",

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Pretz, CR, Kozlowski, AJ, Dams-O'Connor, K, Kreider, S, Cuthbert, JP, Corrigan, JD, Heinemann, AW & Whiteneck, G 2013, 'Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study', Archives of physical medicine and rehabilitation, vol. 94, no. 3, pp. 579-588. https://doi.org/10.1016/j.apmr.2012.08.197

Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study. / Pretz, Christopher R.; Kozlowski, Allan J.; Dams-O'Connor, Kristen et al.
In: Archives of physical medicine and rehabilitation, Vol. 94, No. 3, 03.2013, p. 579-588.

Research output: Contribution to journal › Comment/debate › peer-review

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

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AN - SCOPUS:84875372870

SN - 0003-9993

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SP - 579

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JO - Archives of physical medicine and rehabilitation

JF - Archives of physical medicine and rehabilitation

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Pretz CR, Kozlowski AJ, Dams-O'Connor K, Kreider S, Cuthbert JP, Corrigan JD et al. Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study. Archives of physical medicine and rehabilitation. 2013 Mar;94(3):579-588. doi: 10.1016/j.apmr.2012.08.197

Descriptive modeling of longitudinal outcome measures in traumatic brain injury: A national institute on disability and rehabilitation research traumatic brain injury model systems study

Abstract

Funding

Keywords

ASJC Scopus subject areas

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