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Prediction of patient-reported outcome measures via multiva..:
Conigliani, Caterina
;
Manca, Andrea
;
Tancredi, Andrea
Journal of the Royal Statistical Society. Series A (Statistics in Society). 178 (2015) 3 - p. 567-591 , 2015
Link:
http://www.jstor.org/stable/43965752
RT Journal T1
Prediction of patient-reported outcome measures via multivariate ordered probit models
UL https://suche.suub.uni-bremen.de/peid=jstor-43965752&Exemplar=1&LAN=DE A1 Conigliani, Caterina A1 Manca, Andrea A1 Tancredi, Andrea PB John Wiley & Sons Ltd YR 2015 SN 0964-1998 SN 1467-985X K1 Applied sciences K1 Research methods K1 Modeling K1 Predictive modeling K1 Information science K1 Data products K1 Datasets K1 Health sciences K1 Health and wellness K1 Public health K1 Epidemiology K1 Health surveys K1 Survey research K1 Survey methods K1 Questionnaires K1 Economics K1 Economic disciplines K1 Applied economics K1 Econometrics K1 Economic indicators K1 Economic indices K1 Information analysis K1 Data analysis K1 Regression analysis K1 Regression coefficients K1 Medical conditions K1 Diseases K1 Eye diseases K1 Glaucoma K1 Health status K1 Quality of life K1 Simulations JF Journal of the Royal Statistical Society. Series A (Statistics in Society) VO 178 IS 3 SP 567 OP 591 LK http://www.jstor.org/stable/43965752 DO http://www.jstor.org/stable/43965752 SF ELIB - SuUB Bremen
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