Hypothesis testing in functional linear regression models with Neyman's truncation and wavelet thresholding for longitudinal data

Statistics in Medicine

Volumn 27, Issue 6, 2008, Pages 845-863

  Yang, Xiaowei ^a,b   Nie, Kun ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b BayesSoft Inc   (United States)

Author keywords

Adaptive Neyman test; Fourier transform; Functional linear regression model; Longitudinal data analysis; Thresholding test; Wavelet transform

Indexed keywords

CARBON MONOXIDE;

ANALYSIS OF VARIANCE; ARTICLE; BEHAVIOR THERAPY; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; COUNSELING; HUMAN; HYPOTHESIS; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; MEDICAL RESEARCH; MULTIVARIATE ANALYSIS; OUTCOMES RESEARCH; PREDICTION; RANDOMIZED CONTROLLED TRIAL; SMOKING CESSATION; TOBACCO DEPENDENCE; TREATMENT DURATION;

BEHAVIOR THERAPY; DATA INTERPRETATION, STATISTICAL; FOURIER ANALYSIS; HUMANS; LINEAR MODELS; LONGITUDINAL STUDIES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SMOKING CESSATION;

EID: 40549130086     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2952     Document Type: Article

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