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Dick R Wittink

Biographic Data

ID152415
NAMEDick R Wittink
GIVEN NAMESDick R
FAMILY NAMEWittink
SIGNATUREWITTINK D R
AFFILIATIONSStanford University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS3
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1978
LATEST PUBLICATION YEAR2001
H-INDEX1
  • Understanding Patient Preferences for the Treatment of Lupus Nephritis With Adaptive Conjoint Analysis

    Liana Fraenkel, Sidney Bodardus et al.•ARTICLE•Medical Care•2001•References: 44

    BACKGROUND: Incorporation of patient preferences into treatment decisions is an essential component of medical care. Conjoint analysis is an established method of eliciting consumer preferences in market research and is being increasingly used to study patient preferences for health care. OBJECTIVE: To examine the value of Adaptive Conjoint Analysis (ACA), a unique method of performing conjoint analysis, and to evaluate patient treatment preferen…

  • Comparing Derived Importance Weights Across Attributes

    Dick R Wittink, Lakshman Krishnamurthi et al.•ARTICLE•Journal of Consumer Research•1982•Cited by: 3

    Dick R. Wittink, Lakshman Krishnamurthi, Julia B. Nutter; Comparing Derived Importance Weights Across Attributes, Journal of Consumer Research, Volume 8, I

  • Econometric Modeling Of Individual And Social Multi-Attribute Utility Functions

    David L Ford, Herbert Moskowitz et al.•ARTICLE•Multivariate Behavioral Research•1978

    Econometric techniques for estimating the parameters of individual and composite (group) multi-attribute utility (MAU) models are discussed. These techniques permit measurement of intra- and inter-individual heterogeneity with regard to the importance ascribed to the model attributes. Using data from an experimental task in a simulated university environment, which involved developing criteria for evaluating faculty teaching performance, it is sh…

  • Comparing Derived Importance Weights Across Attributes

    Dick R Wittink, Lakshman Krishnamurthi et al.•ARTICLE•Journal of Consumer Research•1982•Cited by: 3

    Dick R. Wittink, Lakshman Krishnamurthi, Julia B. Nutter; Comparing Derived Importance Weights Across Attributes, Journal of Consumer Research, Volume 8, I

  • Econometric Modeling Of Individual And Social Multi-Attribute Utility Functions

    David L Ford, Herbert Moskowitz et al.•ARTICLE•Multivariate Behavioral Research•1978

    Econometric techniques for estimating the parameters of individual and composite (group) multi-attribute utility (MAU) models are discussed. These techniques permit measurement of intra- and inter-individual heterogeneity with regard to the importance ascribed to the model attributes. Using data from an experimental task in a simulated university environment, which involved developing criteria for evaluating faculty teaching performance, it is sh…

  • Comparing Derived Importance Weights Across Attributes

    Dick R Wittink, Lakshman Krishnamurthi et al.•ARTICLE•Journal of Consumer Research•1982•Cited by: 3

    Dick R. Wittink, Lakshman Krishnamurthi, Julia B. Nutter; Comparing Derived Importance Weights Across Attributes, Journal of Consumer Research, Volume 8, I

  • Understanding Patient Preferences for the Treatment of Lupus Nephritis With Adaptive Conjoint Analysis

    Liana Fraenkel, Sidney Bodardus et al.•ARTICLE•Medical Care•2001•References: 44

    BACKGROUND: Incorporation of patient preferences into treatment decisions is an essential component of medical care. Conjoint analysis is an established method of eliciting consumer preferences in market research and is being increasingly used to study patient preferences for health care. OBJECTIVE: To examine the value of Adaptive Conjoint Analysis (ACA), a unique method of performing conjoint analysis, and to evaluate patient treatment preferen…

Computer Science (2 works) · Economic and Environmental Valuation (2 works) · Azathioprine (1 work) · Chemotherapy (1 work) · Conjoint analysis (1 work) · Consumer Market Behavior and Pricing (1 work) · Cyclophosphamide (1 work) · Disease (1 work) · Econometric model (1 work) · Econometrics (1 work)

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