Chapter: Markov modeling in decision analysis

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Home > Pharmacoeconomics: from theory to practice > Markov modeling in decision analysis

Pharmacoeconomics: from theory to practice |

Arnold, Renee J. G. [Editor] | ProQuest (Firm)

Taylor & Francis

Pharmacoeconomics: from theory to practice

Markov modeling in decision analysis

Chapter Info

Authors

J. Robert Beck

ARI Id

1669853361026_24824134

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Chapters/Headings	Author(s)	Pages	Info
Introduction to pharmacoeconomics	William F. McGhan
Decision modeling techniques	Mark S. Roberts; Ken Smith
Cost of illness	Renée J.G. Arnold
Markov modeling in decision analysis	J. Robert Beck
Retrospective database analysis	Renée J.G. Arnold; Sanjeev Balu
What is cost-minimization analysis?	Alan Haycox
Cost-effectiveness analysis	Kenneth J. Smith; Mark S. Roberts
Budget impact analysis	Lieven Annemans
Cost-utility analysis: a case study of a quadrivalent human Papillomavirus vaccine	Erik J. Dasbach; Ralph P. Insinga; Elamin H. Elbasha
Some problems/assumptions in pharmacoeconomic analysis	Stuart Birks
Patient-reported outcome measures	Dianne Bryant; Gordon Guyatt; Renée J.G. Arnold
Sensitivity analysis	Maarten J. Postma
Use of pharmacoeconomics in drug reimbursement in Australia, Canada, and the United Kingdom: what can we learn from international experience?	Michael Drummond; Corinna Sorenson
Pharmacoeconomics in disease management: practical applications and persistent challenges	Ryung Suh; David Atkins
Computer aided decision making from drug discovery to pharmacoeconomics	Sean Ekins; Renée J.G. Arnold
Speculations on the future challenges and value of pharmacoeconomics	J. Jaime Caro; Denis Getsios; Rachael L. Fleurence.
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