Bayesian generalized monotonic functional mixed models for the effects of radiation dose histograms on normal tissue complications

Statistics in Medicine

Volumn 26, Issue 25, 2007, Pages 4643-4656

  Schipper, Matthew J ^a,c   Taylor, Jeremy M G ^a   Lin, Xihong ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b HARVARD UNIVERSITY   (United States)

^c NONE   (United States)

Author keywords

Dose effect; Functional data; Mixture prior; Monotonicity; Non parametric regression; Normal tissue complications

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CANCER RADIOTHERAPY; COMPUTER PROGRAM; CONTROLLED STUDY; DOSIMETRY; EXTERNAL BEAM RADIOTHERAPY; HEAD AND NECK CANCER; HISTOGRAM; HUMAN; HYPOSALIVATION; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; NONPARAMETRIC TEST; PAROTID GLAND CANCER; POISSON DISTRIBUTION; PROBABILITY; RADIATION DOSE DISTRIBUTION; TISSUE INJURY; TREATMENT PLANNING;

BAYES THEOREM; DOSE-RESPONSE RELATIONSHIP, RADIATION; HEAD AND NECK NEOPLASMS; HUMANS; MODELS, STATISTICAL; PAROTID GLAND; RADIATION INJURIES; RADIOTHERAPY; RADIOTHERAPY DOSAGE; SALIVA;

EID: 35648997914     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2887     Document Type: Article

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