Group-based trajectory analysis applications for prognostic biomarker model development in severe tbi: A practical example

Journal of Neurotrauma

Volumn 30, Issue 11, 2013, Pages 938-945

  Niyonkuru, Christian ^a   Wagner, Amy K ^a,b   Ozawa, Haishin ^a   Amin, Krutika ^a   Goyal, Akash ^a   Fabio, Anthony ^c  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

biomarkers; prognosis; S100b; trajectory analysis; traumatic brain injury

Indexed keywords

PROTEIN S100B;

ARTICLE; CEREBROSPINAL FLUID; ILLNESS TRAJECTORY; INJURY SEVERITY; LOGISTIC REGRESSION ANALYSIS; PREDICTIVE VALUE; PROGNOSIS; TRAUMATIC BRAIN INJURY;

ADOLESCENT; ADULT; AGED; BIOLOGICAL MARKERS; BRAIN INJURIES; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; PROGNOSIS; RECOVERY OF FUNCTION; S100 CALCIUM BINDING PROTEIN BETA SUBUNIT; YOUNG ADULT;

EID: 84879907145     PISSN: 08977151     EISSN: 15579042     Source Type: Journal    
DOI: 10.1089/neu.2012.2578     Document Type: Article

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