A unified modeling framework for metabonomic profile development and covariate selection for acute trauma subjects

Statistics in Medicine

Volumn 27, Issue 19, 2008, Pages 3776-3788

  Ghosh, S ^a   Dey, D K ^b  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Covariate selection; Mass spectrometry; Metabonomics; Mixture modeling; Survival analysis

Indexed keywords

BIOCHEMICAL MARKER; CREATININE; LISINOPRIL;

ADULT; AGE DISTRIBUTION; ALGORITHM; ARTICLE; BAYES THEOREM; CAUSE OF DEATH; CLINICAL ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; CREATININE URINE LEVEL; DEMOGRAPHY; DIAGNOSTIC PROCEDURE; ELECTROSPRAY MASS SPECTROMETRY; FEMALE; HUMAN; LOGLINEAR MODEL; MALE; MASS SPECTROMETRY; MATHEMATICAL COMPUTING; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; METABOLOMICS; MULTIPLE ORGAN FAILURE; NON INVASIVE PROCEDURE; PARAMETRIC TEST; PATIENT MONITORING; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; STATISTICAL SIGNIFICANCE; TRAUMATOLOGY; URINALYSIS;

AGE FACTORS; ANALYSIS OF VARIANCE; BIOLOGICAL MARKERS; DATA INTERPRETATION, STATISTICAL; DISEASE PROGRESSION; HUMANS; MARKOV CHAINS; MASS SPECTROMETRY; MODELS, STATISTICAL; MONTE CARLO METHOD; MULTIPLE ORGAN FAILURE; PROPORTIONAL HAZARDS MODELS; WOUNDS AND INJURIES;

EID: 50449084263     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3279     Document Type: Article

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