Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model

Statistics in Medicine

Volumn 32, Issue 15, 2013, Pages 2585-2594

  Bamia, Christina ^a   White, Ian R ^b   Kenward, Michael G ^c  

^a UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

Covariance structure; Random intercepts; Random intercepts and slopes; Repeated measures

Indexed keywords

BROMOCRIPTINE; ROPINIROLE;

ARTICLE; CONTROLLED STUDY; COVARIANCE; DAILY LIFE ACTIVITY; DRUG EFFECT; DRUG EFFICACY; HUMAN; INTENTION TO TREAT ANALYSIS; LINEAR MIXED MODEL; MAJOR CLINICAL STUDY; PARKINSON DISEASE; RANDOM INTERCEPT AND SLOPE MODEL; RANDOM INTERCEPT MODEL; RANDOMIZED CONTROLLED TRIAL (TOPIC); SCORING SYSTEM; STATISTICAL MODEL; TIME; VARIANCE;

ACTIVITIES OF DAILY LIVING; ANTIPARKINSON AGENTS; BIOSTATISTICS; BROMOCRIPTINE; CLINICAL TRIALS AS TOPIC; DATA INTERPRETATION, STATISTICAL; HUMANS; INDOLES; LINEAR MODELS; MODELS, STATISTICAL; PARKINSON DISEASE; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 84879090626     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5707     Document Type: Article

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