The identification of regions of significance in the effect of multimorbidity on depressive symptoms using longitudinal data: An application of the Johnson-Neyman technique

Gerontology

Volumn 60, Issue 3, 2014, Pages 274-281

  Rast, Philippe ^a   Rush, Jonathan ^a   Piccinin, Andrea ^a   Hofer, Scott M ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Johnson Neyman technique; Longitudinal modeling; Multimorbidity; Regions ofsignificance; Statistical moderation

Indexed keywords

ADULT; AGED; AGING; ARTICLE; CENTER FOR EPIDEMIOLOGICAL STUDIES DEPRESSION SCALE; DEPRESSION; FEMALE; HUMAN; JOHNSON NEYMAN TECHNIQUE; MAJOR CLINICAL STUDY; MALE; MORBIDITY; MULTIMORBIDITY; PRIORITY JOURNAL; QUALITY OF LIFE; STATISTICAL ANALYSIS; TIME OF DEATH; BIOSTATISTICS; COMORBIDITY; LONGITUDINAL STUDY; MIDDLE AGED; PROCEDURES; PSYCHOLOGY; STATISTICAL MODEL; UNITED STATES; VERY ELDERLY; EFFECT SIZE; STATISTICAL SIGNIFICANCE; TIME;

AGED; AGED, 80 AND OVER; AGING; BIOSTATISTICS; COMORBIDITY; DEPRESSION; FEMALE; HUMANS; LINEAR MODELS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MODELS, STATISTICAL; QUALITY OF LIFE; UNITED STATES;

EID: 84899431038     PISSN: 0304324X     EISSN: 14230003     Source Type: Journal    
DOI: 10.1159/000358757     Document Type: Article

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