Functional generalized linear models with images as predictors

Biometrics

Volumn 66, Issue 1, 2010, Pages 61-69

  Reiss, Philip T ^a,b   Ogden, R Todd ^c  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^c Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

B splines; Functional principal component regression; Positron emission tomography; Simultaneous confidence bands; Smoothing parameter

Indexed keywords

BRAIN; NEUROIMAGING; POSITRONS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

B SPLINES; COEFFICIENT FUNCTIONS; CONFIDENCE BANDS; FUNCTIONAL PRINCIPAL COMPONENT REGRESSION; FUNCTIONAL REGRESSION; GENERALIZED LINEAR MODEL; PRINCIPAL COMPONENTS; SIMULTANEOUS CONFIDENCE BAND; SMOOTHING PARAMETER; TWO DIRECTIONS;

POSITRON EMISSION TOMOGRAPHY;

ADAPTIVE RADIATION; HYPOTHESIS TESTING; IMAGE RESOLUTION; LINEARITY; MODEL TEST; PARAMETERIZATION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SIGNAL PROCESSING; TOMOGRAPHY;

ALGORITHM; BIOMETRY; COMPUTER SIMULATION; EPIDEMIOLOGY; MATHEMATICAL COMPUTING; PROCEDURES; PROGNOSIS; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; LINEAR MODELS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PROGNOSIS; REGRESSION ANALYSIS;

EID: 77949757564     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01233.x     Document Type: Article

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