Multivariate modeling of complications with data driven variable selection: Guarding against overfitting and effects of data set size

Radiotherapy and Oncology

Volumn 105, Issue 1, 2012, Pages 115-121

  Van Der Schaaf, Arjen ^a   Xu, Cheng Jian ^a   Van Luijk, Peter ^a   Van'T Veld, Aart A ^a   Langendijk, Johannes A ^a   Schilstra, Cornelis ^a,b  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^b Radiotherapy Institute Friesland   (Netherlands)

Author keywords

Complication; Multivariate; NTCP modeling; Predictive power; Risk; Variable selection

Indexed keywords

ARTICLE; BOOTSTRAPPING; CANCER PATIENT; CANCER RADIOTHERAPY; CONTROLLED STUDY; HEAD AND NECK CANCER; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MULTIVARIATE ANALYSIS; POWER ANALYSIS; PREDICTIVE VALUE; PRIORITY JOURNAL; PROBABILITY; SAMPLE SIZE; STATISTICAL MODEL; VALIDATION PROCESS;

FORECASTING; HEAD AND NECK NEOPLASMS; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; RADIOTHERAPY; RISK;

EID: 84868362612     PISSN: 01678140     EISSN: 18790887     Source Type: Journal    
DOI: 10.1016/j.radonc.2011.12.006     Document Type: Article

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