Bayesian hierarchical meta‐analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data-Reference-Cited by-同舟云学术

Bayesian hierarchical meta‐analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data

Author:

Papanikos Tasos¹^ORCID,Thompson John R.²,Abrams Keith R.¹,Städler Nicolas³^ORCID,Ciani Oriana⁴⁵^ORCID,Taylor Rod⁴⁶,Bujkiewicz Sylwia¹^ORCID

Affiliation:

1. Biostatistics Group, Department of Health SciencesUniversity of Leicester Leicester UK

2. Genetic Epidemiology Group, Department of Health SciencesUniversity of Leicester Leicester UK

3. Roche Innovation CenterF. Hoffmann‐La Roche Ltd Basel Switzerland

4. College of Medicine and HealthUniversity of Exeter Medical School Exeter UK

5. Centre for Research on Health and Social Care ManagementSDA Bocconi University Milan Italy

6. MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for BiostatisticsUniversity of Glasgow Glasgow UK

Funder

Medical Research Council Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

Reference40 articles.

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