| Title |
Random Regret-Based Discrete-Choice Modelling: An Application to Healthcare
|
|---|---|
| Published in |
PharmacoEconomics, April 2013
|
| DOI | 10.1007/s40273-013-0059-0 |
| Pubmed ID | |
| Authors |
Esther W. de Bekker-Grob, Caspar G. Chorus |
| Abstract |
A new modelling approach for analysing data from discrete-choice experiments (DCEs) has been recently developed in transport economics based on the notion of regret minimization-driven choice behaviour. This so-called Random Regret Minimization (RRM) approach forms an alternative to the dominant Random Utility Maximization (RUM) approach. The RRM approach is able to model semi-compensatory choice behaviour and compromise effects, while being as parsimonious and formally tractable as the RUM approach. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 1 | 1% |
| Italy | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Researcher | 14 | 16% |
| Student > Master | 10 | 12% |
| Other | 7 | 8% |
| Professor > Associate Professor | 6 | 7% |
| Other | 17 | 20% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 14 | 16% |
| Medicine and Dentistry | 13 | 15% |
| Engineering | 7 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Nursing and Health Professions | 4 | 5% |
| Other | 23 | 27% |
| Unknown | 20 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 June 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from PharmacoEconomics
#1,598
of 1,813 outputs
Outputs of similar age
#146,069
of 194,058 outputs
Outputs of similar age from PharmacoEconomics
#29
of 30 outputs
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