Exploratory Modeling of TBI Data

Authors

Martin Zwick, Portland State UniversityFollow
Stephanie Kolakowsky-Hayner, Mt. Sinai
Sadie Carney, Portland State University
Maya Balamane, Brain Trauma Foundation
Tracie Nettleton, Oregon Health & Science UniversityFollow
D. WrightFollow

Document Type

Presentation

Publication Date

9-2016

Subjects

Brain damage -- Mathematical models, Reconstructability Analysis, Information Theory, Probabilistic graphical modeling, Multivariate analysis discrete multivariate modeling, Data mining

Abstract

Most data analyses are confirmatory, but exploratory studies can find unexpected non-linear & many-variable interaction effects. The methodology of reconstructability analysis (RA) is explicitly designed for exploratory modeling. It analyzes both nominal and continuous (binned) variables, is easily interpretable, takes standard text input, is web-accessible, and is available for research use. This presentation reports some results of applying RA to data sets from Preece (auto accidents) and Wright (auto/motorcycle/bike accidents, hit pedestrians, and falls).

Description

Presented at the TBI Symposium at Oregon Health & Sciences, September 16-17, 2016.

Persistent Identifier

https://archives.pdx.edu/ds/psu/27744

Citation Details

Zwick, Martin; Kolakowsky-Hayner, Stephanie; Carney, Sadie; Balamane, Maya; Nettleton, Tracie; and Wright, D., "Exploratory Modeling of TBI Data" (2016). Systems Science Faculty Publications and Presentations. 140.
https://archives.pdx.edu/ds/psu/27744