نتایج جستجو برای: conjoint therapy

تعداد نتایج: 656180  

2012
Sarah T. Hawley

Incorporating patients’ preferences into healthcare decisions has been identified as one mechanism for reducing health disparities. Some research suggests that providers need to tailor medical recommendations to the preferences of their patients. Yet there are few tools to facilitate clarification of preferences for health services. This paper reports the process of testing an innovative prefer...

2007
Jarod Kelly Panos Y. Papalambros

A common trade-off in product design is form versus function. While function is typically analyzed and understood quite well, user preferences for the visual shape of a form are not. Product shape has become an increasingly important market differentiator, and so the need for better shape preference analysis has also increased. Conjoint analysis and PREFMAP are preference assessment techniques ...

Journal: :Documentation et bibliothèques 1998

2015
Daniel McFadden Moshe Ben-Akiva

This paper re-examines the discrete choice methods and stated preference elicitation procedures that are commonly used in choice-based conjoint analysis. The aim is to clarify their domains of applicability and provide reliable techniques for data collection and analysis. CONTENTS Topic Page Preface 2 1 Choice Behavior and Consumer Welfare 2 1.1 Utility 5 1.2 Choice Probabilities 8 1.3 Consumer...

Journal: :European Journal of Operational Research 2002
Martin Natter Markus Feurstein

Conjoint analysis is one of the most important tools to support product development, pricing and positioning decisions in management practice. For this purpose various models have been developed. It is widely accepted that models that take consumer heterogeneity into account, outperform aggregate models in terms of hold-out tasks. The aim of our study is to investigate empirically whether predi...

2002
Giorgos Zacharia Theodoros Evgeniou Costas Boussios

We develop a framework within which robust models of preferences are computationally efficiently estimated using quadratic optimization methods. Within this framework general highly non-linear models can be computationally efficiently estimated while at the same time avoiding overfitting problems that such models typically have. We compare these models with standard logistic regression and rece...

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