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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 <Title>Prediction of patient-reported outcome measures via multivariate ordered probit models</Title>

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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