Prediction of survival with alternative modeling techniques using pseudo values

PLoS ONE

Volumn 9, Issue 6, 2014, Pages

  Van Der Ploeg, Tjeerd ^a   Datema, Frank ^b   Baatenburg De Jong, Robert ^b   Steyerberg, Ewout W ^b  

^a Location Alkmaar   (Netherlands)

^b ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER SURVIVAL; CASE STUDY; CONTROLLED STUDY; DEATH; FEMALE; HEAD AND NECK SQUAMOUS CELL CARCINOMA; HUMAN; INSTRUMENT VALIDATION; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; NETHERLANDS; PSEUDO VALUES; RECEIVER OPERATING CHARACTERISTIC; RECURSIVE PARTITIONING; STATISTICAL MODEL; STATISTICAL PARAMETERS; SUPPORT VECTOR MACHINE; SURVIVAL PREDICTION; SURVIVAL TIME; HEAD AND NECK TUMOR; KAPLAN MEIER METHOD; MIDDLE AGED; MORTALITY; SQUAMOUS CELL CARCINOMA;

AGED; CARCINOMA, SQUAMOUS CELL; FEMALE; HEAD AND NECK NEOPLASMS; HUMANS; KAPLAN-MEIER ESTIMATE; LINEAR MODELS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); SUPPORT VECTOR MACHINES;

EID: 84903390250     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0100234     Document Type: Article

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