On the role of baseline measurements for crossover designs under the self and mixed carryover effects model

Biometrics

Volumn 66, Issue 1, 2010, Pages 140-148

  Liang, Yuanyuan ^a   Carriere, Keumhee Chough ^b  

^a UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Baseline measurements; Lagrange multiplier; Optimal crossover design; Random subject effect; Self and mixed carryover effects model

Indexed keywords

EFFICIENCY; OPTIMAL SYSTEMS;

BASELINE MEASUREMENT; CARRY-OVER EFFECTS; CROSSOVER DESIGN; EFFECT MODEL; OPTIMAL CROSSOVER DESIGN; OPTIMAL DESIGN; RANDOM SUBJECT EFFECT; SELF AND MIXED CARRYOVER EFFECT MODEL; TREATMENT EFFECTS; UNBIASED ESTIMATES;

LAGRANGE MULTIPLIERS;

BASELINE SURVEY; CROSS SECTION; DATA ACQUISITION; EFFICIENCY MEASUREMENT; LAGRANGIAN ANALYSIS; MODEL TEST; NUMERICAL MODEL; OBSERVATIONAL METHOD; VARIANCE ANALYSIS;

ALGORITHM; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; CROSSOVER PROCEDURE; EPIDEMIOLOGY; INFORMATION RETRIEVAL; LONGITUDINAL STUDY; PROCEDURES; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; CROSS-OVER STUDIES; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; INFORMATION STORAGE AND RETRIEVAL; LONGITUDINAL STUDIES; MODELS, STATISTICAL; SAMPLE SIZE;

EID: 77949709314     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01229.x     Document Type: Article

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