[HTML][HTML] The effectiveness of interventions for increasing COVID-19 vaccine uptake: a systematic review
Vaccination is vital to protect the public against COVID-19. The aim of this systematic review
is to identify and evaluate the effectiveness of interventions to increase COVID-19 vaccine …
is to identify and evaluate the effectiveness of interventions to increase COVID-19 vaccine …
Sample size requirements for discrete-choice experiments in healthcare: a practical guide
Discrete-choice experiments (DCEs) have become a commonly used instrument in health
economics and patient-preference analysis, addressing a wide range of policy questions. An …
economics and patient-preference analysis, addressing a wide range of policy questions. An …
[HTML][HTML] Consumers' sustainability-related perception of and willingness-to-pay for food packaging alternatives
Research regarding consumers' perception of and willingness-to-pay for alternatives to
conventional plastic packaging reveals an ambiguous picture. On one hand, consumers are …
conventional plastic packaging reveals an ambiguous picture. On one hand, consumers are …
[HTML][HTML] Statistical methods for the analysis of discrete choice experiments: a report of the ISPOR conjoint analysis good research practices task force
Conjoint analysis is a stated-preference survey method that can be used to elicit responses
that reveal preferences, priorities, and the relative importance of individual features …
that reveal preferences, priorities, and the relative importance of individual features …
Discrete choice experiments: a guide to model specification, estimation and software
We provide a user guide on the analysis of data (including best–worst and best–best data)
generated from discrete-choice experiments (DCEs), comprising a theoretical review of the …
generated from discrete-choice experiments (DCEs), comprising a theoretical review of the …
Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics …
The notion of hypothetical bias (HB) constitutes, arguably, the most fundamental issue in
relation to the use of hypothetical survey methods. Whether or to what extent choices of …
relation to the use of hypothetical survey methods. Whether or to what extent choices of …
[HTML][HTML] Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation …
Abstract Forms of Artificial Intelligence (AI) are already being deployed into clinical settings
and research into its future healthcare uses is accelerating. Despite this trajectory, more …
and research into its future healthcare uses is accelerating. Despite this trajectory, more …
How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity
Discrete choice experiments (DCEs) are economic tools that elicit the stated preferences of
respondents. Because of their increasing importance in informing the design of health …
respondents. Because of their increasing importance in informing the design of health …
Reporting formative qualitative research to support the development of quantitative preference study protocols and corresponding survey instruments: guidelines for …
Background Formative qualitative research is foundational to the methodological
development process of quantitative health preference research (HPR). Despite its ability to …
development process of quantitative health preference research (HPR). Despite its ability to …
Using best–worst scaling to investigate preferences in health care
Introduction Best–worst scaling (BWS) is becoming increasingly popular to elicit preferences
in health care. However, little is known about current practice and trends in the use of BWS …
in health care. However, little is known about current practice and trends in the use of BWS …