Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data-Reference-Cited by-同舟云学术

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Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data

Published:2022-05-16 Issue:6 Volume:13 Page:716-744
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Research Synthesis Methods

Author:

Remiro‐Azócar Antonio¹²^ORCID,Heath Anna¹³⁴,Baio Gianluca¹

Affiliation:

1. Department of Statistical Science University College London London UK

2. Quantitative Research Statistical Outcomes Research & Analytics (SORA) Ltd London UK

3. Child Health Evaluative Sciences The Hospital for Sick Children Toronto Canada

4. Dalla Lana School of Public Health University of Toronto Toronto Canada

Funder

Canada Research Chairs

Engineering and Physical Sciences Research Council

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrsm.1565

Reference104 articles.

1. Decision Making Under Uncertainty: Comparing Regulatory and Health Technology Assessment Reviews of Medicines in the United States and Europe

2. Placebo-Controlled Trials and Active-Control Trials in the Evaluation of New Treatments. Part 1: Ethical and Scientific Issues

3. ?Fourth hurdle reviews?, NICE, and database applications

4. Use of Indirect and Mixed Treatment Comparisons for Technology Assessment

5. Evidence Synthesis for Decision Making 2

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