Power analyses for longitudinal study designs with missing data

Statistics in Medicine

Volumn 26, Issue 15, 2007, Pages 2958-2981

  Tu, X M ^a   Zhang, J ^b   Kowalski, J ^c   Shults, J ^d   Feng, C ^a   Sun, W ^d   Tang, W ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Asymptotic distribution; Generalized estimating equations; Linear mixed effects model; Markov process; Missing at random

Indexed keywords

HYDROCORTISONE; MELATONIN;

ACCURACY; ANALYSIS OF VARIANCE; ANALYTICAL ERROR; ARTICLE; CORRELATION FUNCTION; EFFECT SIZE; HEALTH PROMOTION; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INFECTION RISK; INFORMATION PROCESSING; LONGITUDINAL STUDY; PHYSICAL ACTIVITY; POWER ANALYSIS; PREDICTION; PROBABILITY; RELIABILITY; RISK REDUCTION; SAMPLE SIZE; SLEEP DISORDER; STATISTICAL MODEL; TYPES OF STUDY;

ADOLESCENT; AGE FACTORS; BEHAVIOR THERAPY; CLINICAL TRIALS; FEMALE; HIV INFECTIONS; HUMANS; LONGITUDINAL STUDIES; MARKOV CHAINS; MODELS, STATISTICAL; SLEEP DISORDERS;

EID: 34250689148     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2773     Document Type: Article

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