Conditional logit model DCE.

<div><p>Introduction</p><p>Medical decision making is often guided bydisease-specific outcomes such as life extension or survival. Especially for older adults other outcomes like maintaining independence can be equally vital or more important. Enhanced insight into the priori...

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Hlavní autor:	Vera C. Hanewinkel (22553117) (author)
Další autoři:	Hanneke van der Wal-Huisman (17133905) (author), Suzanne Festen (17133902) (author), Richte CL Schuurmann (22553120) (author), Goudje L. van Leeuwen (22553123) (author), Maria-Annette Kooijman (22553126) (author), Marijke J. Nogarede (22553129) (author), Barbara L. van Leeuwen (8946785) (author), Daan Brandenbarg (16458273) (author)
Vydáno:	2025
Témata:	Neuroscience Biotechnology Evolutionary Biology Developmental Biology Science Policy Mental Health Infectious Diseases total 333 volunteers respondents &# 8217 often guided bydisease mean 70 yr latent class analyses discrete choice experiment day national fair conditional logit model comparing six pairs treatment decision making life threatening disease people aged 50 minimizing societal costs attributes &# 8211 severe memory complaints prioritized life expectancy societal costs memory complaints life expectancy treatment options severe physical life extension xlink "> two years preferences showed positive impact interaction tests hypothetical treatmentoptions hypothetical case five attributes explore preferences equally vital enhanced insight cognitive impairments clinical guidelines attribute utility approximately 25 analyzed using 50 years 233 female
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Conditional logit model DCE.

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