Using causal forests to assess heterogeneity in cost‐effectiveness analysis-Reference-Cited by-同舟云学术

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Using causal forests to assess heterogeneity in cost‐effectiveness analysis

Published:2021-05-04 Issue:8 Volume:30 Page:1818-1832
ISSN:1057-9230
Container-title:Health Economics
language:en
Short-container-title:Health Economics

Author:

Bonander Carl¹^ORCID,Svensson Mikael¹^ORCID

Affiliation:

1. School of Public Health and Community Medicine Institute of Medicine University of Gothenburg Gothenburg Sweden

Funder

Familjen Kamprads Stiftelse

Forskningsrådet om Hälsa, Arbetsliv och Välfärd

Publisher

Wiley

Subject

Health Policy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hec.4263

Reference37 articles.

1. Recursive partitioning for heterogeneous causal effects

2. Machine Learning Methods That Economists Should Know About

3. Generalized random forests

4. Athey S. &Wager S.(2019). Efficient policy learning.arXiv:1702.02896v5.

5. Searchers vs surveyors in estimating the monetary value of a QALY: resolving a nasty dilemma for NICE

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