Advancing Personalized Medicine: Application of a Novel Statistical Method to Identify Treatment Moderators in the Coordinated Anxiety Learning and Management Study

Behavior Therapy

Volumn 48, Issue 4, 2017, Pages 490-500

  Bystritsky, Alexander ^e   Craske, Michelle G ^e   Krull, Jennifer L ^a  

^a Harborview Medical Center ^*

^b UNIVERSITY OF WASHINGTON   (United States)

^c UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

^d RAND CORPORATION   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

anxiety disorders; CBT; model selection; moderators; personalized medicine; precision medicine; primary care

Indexed keywords

ACCURACY; ADULT; AFRICAN AMERICAN; AGED; ALGORITHM; ANXIETY DISORDER; ARTICLE; CALCULATION; CLINICAL EFFECTIVENESS; COORDINATED ANXIETY LEARNING AND MANAGEMENT PROGRAM; EDUCATIONAL STATUS; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; OUTCOME ASSESSMENT; PATIENT SATISFACTION; PREDICTION; PSYCHIATRIC TREATMENT; STATISTICAL MODEL; TREATMENT OUTCOME; TREATMENT RESPONSE; VALIDITY; VERY ELDERLY; PATIENT SELECTION; PERSONALIZED MEDICINE; PROCEDURES; PSYCHOLOGY; REGRESSION ANALYSIS; STATISTICS AND NUMERICAL DATA;

ADULT; ANXIETY DISORDERS; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; PATIENT SELECTION; PRECISION MEDICINE; REGRESSION ANALYSIS;

EID: 85015608960     PISSN: 00057894     EISSN: 18781888     Source Type: Journal    
DOI: 10.1016/j.beth.2017.02.001     Document Type: Article

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