Examining Hepatitis C Virus Treatment Preference Heterogeneity Using Segmentation Analysis: Treat Now or Defer?

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Using Best-Worst Scaling to Understand Patient Priorities: A Case Example of Papanicolaou Tests for Homeless Women.Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

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Examining Hepatitis C Virus Treatment Preference Heterogeneity Using Segmentation Analysis: Treat Now or Defer?

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Examining Hepatitis C Virus Tr ...... Analysis: Treat Now or Defer?

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Examining Hepatitis C Virus Tr ...... Analysis: Treat Now or Defer?

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Examining Hepatitis C Virus Tr ...... Analysis: Treat Now or Defer?

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Examining Hepatitis C Virus Tr ...... Analysis: Treat Now or Defer?

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Examining Hepatitis C Virus Tr ...... Analysis: Treat Now or Defer?

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Alexander Monto

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Guadalupe Garcia-Tsao

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Joseph Lim

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Liana Fraenkel

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Valerie Reyna

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P2860

A theory of medical decision making and health: fuzzy trace theory

Clinical practice. Chronic hepatitis C infection

Neurobiological and memory models of risky decision making in adolescents versus young adults.

Ledipasvir and sofosbuvir for untreated HCV genotype 1 infection

Ledipasvir and sofosbuvir for 8 or 12 weeks for chronic HCV without cirrhosis

Ledipasvir and sofosbuvir for previously treated HCV genotype 1 infection

Patients' preferences for treatment of hepatitis C

Understanding why rheumatoid arthritis patient treatment preferences differ by race.

Does correcting myths about the flu vaccine work? An experimental evaluation of the effects of corrective information.

Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: a fuzzy-trace theory approach.

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252-257

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scholarly article

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10.1097/MCG.0000000000000380

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2015-07-09T00:00:00Z

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Examining Hepatitis C Virus Treatment Preference Heterogeneity Using Segmentation Analysis: Treat Now or Defer?

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P2860

P2860

Examining Hepatitis C Virus Treatment Preference Heterogeneity Using Segmentation Analysis: Treat Now or Defer?

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P2860

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