APA
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Thacher, J., Morey, E. R., & Craighead, W. E. (2005). Using Patient Characteristics and Attitudinal Data to Identify Depression Treatment Preference Groups: A Latent-Class Model. Depression and Anxiety, 21(2), 47–54. https://doi.org/https://onlinelibrary.wiley.com/doi/abs/10.1002/da.20057
Chicago/Turabian
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Thacher, Jennifer, Edward R. Morey, and W. Edward Craighead. “Using Patient Characteristics and Attitudinal Data to Identify Depression Treatment Preference Groups: A Latent-Class Model.” Depression and Anxiety 21, no. 2 (2005): 47–54.
MLA
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Thacher, Jennifer, et al. “Using Patient Characteristics and Attitudinal Data to Identify Depression Treatment Preference Groups: A Latent-Class Model.” Depression and Anxiety, vol. 21, no. 2, 2005, pp. 47–54, doi:https://onlinelibrary.wiley.com/doi/abs/10.1002/da.20057.
BibTeX Click to copy
@article{jennifer2005a,
title = {Using Patient Characteristics and Attitudinal Data to Identify Depression Treatment Preference Groups: A Latent-Class Model},
year = {2005},
issue = {2},
journal = {Depression and Anxiety},
pages = {47-54},
volume = {21},
doi = {https://onlinelibrary.wiley.com/doi/abs/10.1002/da.20057},
author = {Thacher, Jennifer and Morey, Edward R. and Craighead, W. Edward}
}
Choice question data and discrete choice random-utility models are used to estimate preferences over treatment programs for depression. Preferences are allowed to vary with treatment and individual characteristics. The flndings include: (1) The value of consuming market goods is less when one is depressed. This is a type of income efiect and drives a wedge between willingness-to-pay to eliminate one’s depression and willingness-to-accept it. Traditional income efiects are also important. (2) The probability of choosing no treatment varies as a function of individual characteristics, costs, and side efiects. (3) Willingness-to-pay to avoid sexual and weight gain side efiects can be high but varies extensively across individuals.