Work

The Myth of Making Inferences for an Overall Treatment Efficacy with Data from Multiple Comparative Studies Via Meta-Analysis

Year: 2016

Type: review

Source: Statistics in Biosciences

DOI: 10.1007/s12561-016-9179-3

Authors: Takahiro Hasegawa, Brian Claggett, Lu Tian, Scott D. Solomon, Marc A. Pfeffer, Lee-Jen Wei

Institutions: Shionogi (Japan), Brigham and Women's Hospital, Stanford Medicine, Stanford University, Harvard University

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: Statistical Methods in AIDS Research, Robust Approaches to the Development and Evaluation of Prognostic Classifiers, Statistical and Data Management Center (SDMC), Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections (ACTG), Statistical Learning for Precision Medicine Based on Multi-Source Data

OpenAlex ID: W2542354236

FWCI: 0.569

Cites: 25

Cited by: 8

Related to: 10