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US National Institute of Allergy & Infectious Diseases (NIAID)
This guide includes language suggestions for communicating about HIV and related topics. While it was originally designed to help NIAID staff communicate with empowering rather than stigmatizing language, especially as it relates to HIV, it was quickly recognized that it has value beyond NIAID.
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National Institutes of Health, CDC
Developed by the National Institutes of Health, the Centers for Disease Control and Prevention, and the HIV Medicine Association of the Infectious Diseases Society of America Panel on Guidelines for the Prevention and Treatment of Opportunistic Infections in Adults and Adolescents with HIV—A Working Group of the NIH Office of AIDS Research Advisory Council (OARAC)
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PAN, BCCDC
This clear language document was designed to remove language barriers about common phrases, terms, and diseases that are discussed within BCCDC projects and applicable to data requests that might be considered by community.
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CIHR
This glossary provides lay language definitions for frequently used health research terms.
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WHO
This document aims to improve research quality and coordination to identify and propose best practices and other measures to strengthen the global clinical trial ecosystem and to review existing guidance and develop new guidance as needed on best practices for clinical trials.
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J Clin Epidemiol
The objective of the study was to outline key considerations for general clinical readers when critically evaluating publications on platform trials and for researchers when designing these types of clinical trials.
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Intern Emerg Med
In this review, using a series of examples derived from equivalence and non-inferiority/superiority RCTs, we describe the main differences and methodological aspects among these three different types of RCTs
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J Am Coll Cardiol
This paper is a practical guide to the essentials of statistical analysis and reporting of randomized clinical trials, include statistical controversies in reporting and interpretation, the fundamentals of trial design, and statistical challenges in the design and monitoring.