Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods
Titel:
Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods
Auteur:
Kunst, Natalia Wilson, Edward C.F. Glynn, David Alarid-Escudero, Fernando Baio, Gianluca Brennan, Alan Fairley, Michael Goldhaber-Fiebert, Jeremy D. Jackson, Chris Jalal, Hawre Menzies, Nicolas A. Strong, Mark Thom, Howard Heath, Anna
Verschenen in:
Value in health
Paginering:
Jaargang 23 () nr. 6 pagina's 734-742
Jaar:
2020
Inhoud:
Uitgever:
ISPOR–The Professional Society for Health Economics and Outcomes Research