Dick R Wittink
Biographic Data
| ID | 152415 |
|---|---|
| NAME | Dick R Wittink |
| GIVEN NAMES | Dick R |
| FAMILY NAME | Wittink |
| SIGNATURE | WITTINK D R |
| AFFILIATIONS | Stanford University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1978 |
| LATEST PUBLICATION YEAR | 2001 |
| H-INDEX | 1 |
Understanding Patient Preferences for the Treatment of Lupus Nephritis With Adaptive Conjoint Analysis
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, 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
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, 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
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, 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
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)