A K-nearest neighbors survival probability prediction method

Statistics in Medicine

Volumn 32, Issue 12, 2013, Pages 2062-2069

  Lowsky, D J ^a   Ding, Y ^b   Lee, D K K ^c   McCulloch, C E ^d   Ross, L F ^e   Thistlethwaite, J R ^e   Zenios, S A ^f  

^a RAND CORPORATION   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c YALE UNIVERSITY   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF CHICAGO MEDICAL CENTER   (United States)

^f STANFORD UNIVERSITY   (United States)

Author keywords

Cox regression; K nearest neighbors; Kaplan Meier; Mahalanobis distance; Nonparametric survival analysis; Organ transplantation; Right censored data; Survivor function

Indexed keywords

ARTICLE; COVARIANCE; GRAFT FAILURE; GRAFT SURVIVAL; HUMAN; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; KAPLAN MEIER METHOD; KIDNEY FAILURE; KIDNEY TRANSPLANTATION; MATHEMATICAL MODEL; NONPARAMETRIC TEST; OUTCOME ASSESSMENT; PREDICTION; PROBABILITY; PROPORTIONAL HAZARDS MODEL; RANDOM FOREST; SURVIVAL; SURVIVAL TIME; VALIDATION PROCESS;

ADOLESCENT; ADULT; AGED; CHILD; CHILD, PRESCHOOL; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; GRAFT SURVIVAL; HUMANS; KAPLAN-MEIER ESTIMATE; KIDNEY TRANSPLANTATION; MALE; MIDDLE AGED; YOUNG ADULT;

EID: 84877352412     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5673     Document Type: Article

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