162 related articles for article (PubMed ID: 34424920)
1. Patient preferences in the treatment of hemophilia A: A latent class analysis.
Mühlbacher AC; Sadler A; Lamprecht B; Juhnke C
PLoS One; 2021; 16(8):e0256521. PubMed ID: 34424920
[TBL] [Abstract][Full Text] [Related]
2. Patient Preferences in the Treatment of Hemophilia A: A Best-Worst Scaling Case 3 Analysis.
Mühlbacher AC; Sadler A; Lamprecht B; Juhnke C
Value Health; 2020 Jul; 23(7):862-869. PubMed ID: 32762987
[TBL] [Abstract][Full Text] [Related]
3. Preferences for Monitoring Comprehensive Heart Failure Care: A Latent Class Analysis.
Mühlbacher AC; Sadler A; Juhnke C
Patient; 2024 Jan; 17(1):83-95. PubMed ID: 38017336
[TBL] [Abstract][Full Text] [Related]
4. Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment.
Soekhai V; Donkers B; Johansson JV; Jimenez-Moreno C; Pinto CA; de Wit GA; de Bekker-Grob E
Patient; 2023 May; 16(3):239-253. PubMed ID: 36781628
[TBL] [Abstract][Full Text] [Related]
5. Mimicking Real-Life Decision Making in Health: Allowing Respondents Time to Think in a Discrete Choice Experiment.
Veldwijk J; Johansson JV; Donkers B; de Bekker-Grob EW
Value Health; 2020 Jul; 23(7):945-952. PubMed ID: 32762997
[TBL] [Abstract][Full Text] [Related]
6. Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.
Liu T; Tsang W; Huang F; Lau OY; Chen Y; Sheng J; Guo Y; Akinwunmi B; Zhang CJ; Ming WK
J Med Internet Res; 2021 Feb; 23(2):e22841. PubMed ID: 33493130
[TBL] [Abstract][Full Text] [Related]
7. Parental preferences for vesicoureteral reflux treatment: Profile case best-worst scaling.
Dionise ZR; Gonzalez JM; Garcia-Roig ML; Kirsch AJ; Scales CD; Wiener JS; Purves JT; Routh JC
J Pediatr Urol; 2021 Feb; 17(1):86.e1-86.e9. PubMed ID: 33309608
[TBL] [Abstract][Full Text] [Related]
8. Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.
Zhou M; Thayer WM; Bridges JFP
Pharmacoeconomics; 2018 Feb; 36(2):175-187. PubMed ID: 28975582
[TBL] [Abstract][Full Text] [Related]
9. Exploring patient preference heterogeneity for pharmacological treatments for chronic pain: A latent class analysis.
Walsh DA; Boeri M; Abraham L; Atkinson J; Bushmakin AG; Cappelleri JC; Hauber B; Klein K; Russo L; Viktrup L; Turk D
Eur J Pain; 2022 Mar; 26(3):648-667. PubMed ID: 34854164
[TBL] [Abstract][Full Text] [Related]
10. Patients accept therapy using embryonic stem cells for Parkinson's disease: a discrete choice experiment.
Bywall KS; Drevin J; Groothuis-Oudshoorn C; Veldwijk J; Nyholm D; Widner H; van Vliet T; Jiltsova E; Hansson M; Johansson JV
BMC Med Ethics; 2023 Oct; 24(1):83. PubMed ID: 37828462
[TBL] [Abstract][Full Text] [Related]
11. Should I stay or should I go home? A latent class analysis of a discrete choice experiment on hospital-at-home.
Goossens LM; Utens CM; Smeenk FW; Donkers B; van Schayck OC; Rutten-van Mölken MP
Value Health; 2014 Jul; 17(5):588-96. PubMed ID: 25128052
[TBL] [Abstract][Full Text] [Related]
12. Patient Preferences in Pulmonary Arterial Hypertension, a Latent Class Analysis to Identify Preference Heterogeneity.
Mühlbacher A; Beaudet A; Brand M; Janssen EM; Gunz H; Li W; Preiss M; Sadler A; DiSantostefano RL
Value Health; 2024 Feb; 27(2):206-215. PubMed ID: 37949354
[TBL] [Abstract][Full Text] [Related]
13. Patient preference for latent tuberculosis infection preventive treatment: a discrete choice experiment.
Guo N; Marra CA; FitzGerald JM; Elwood RK; Anis AH; Marra F
Value Health; 2011; 14(6):937-43. PubMed ID: 21914516
[TBL] [Abstract][Full Text] [Related]
14. Does Controlling for Scale Heterogeneity Better Explain Respondents' Preference Segmentation in Discrete Choice Experiments? A Case Study of US Health Insurance Demand.
Karim S; Craig BM; Poteet S
Med Decis Making; 2021 Jul; 41(5):573-583. PubMed ID: 33703964
[TBL] [Abstract][Full Text] [Related]
15. Considerations Around Coding the Membership Probability Function in a Latent Class Analysis: Renewed Insights.
Boeri M; Hauber B; Cappelleri JC
Pharmacoeconomics; 2022 Jul; 40(7):653-661. PubMed ID: 35696072
[TBL] [Abstract][Full Text] [Related]
16. Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care.
Flynn TN; Bilger M; Malhotra C; Finkelstein EA
Pharmacoeconomics; 2016 Mar; 34(3):273-84. PubMed ID: 26589411
[TBL] [Abstract][Full Text] [Related]
17. Heterogeneity in Preferences for Anti-coagulant Use in Atrial Fibrillation: A Latent Class Analysis.
van Til J; Oudshoorn-Groothuis C; Weernink M; von Birgelen C
Patient; 2020 Aug; 13(4):445-455. PubMed ID: 32329020
[TBL] [Abstract][Full Text] [Related]
18. Personalized diabetes management: what do patients with diabetes mellitus prefer? A discrete choice experiment.
Mühlbacher AC; Sadler A; Juhnke C
Eur J Health Econ; 2021 Apr; 22(3):425-443. PubMed ID: 33587221
[TBL] [Abstract][Full Text] [Related]
19. Investigating the Heterogeneity in Women's Preferences for Breast Screening: Does the Communication of Risk Matter?
Vass CM; Rigby D; Payne K
Value Health; 2018 Feb; 21(2):219-228. PubMed ID: 29477404
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]