These guidance articles are peer reviewed and provided to give research teams high quality and trustworthy information on how to conduct a task or resolve an issue in the design, conduct or reporting of a clinical trial. Articles are accompanied by resources, such as a template or example documents. These are free for you to download and adapt for your study. Please acknowledge www.globalhealthtrials.org if you use these.
Do you have research ideas for using big data to fill gender data gaps? Announcing the Big Data for Gender Challenge! Research proposals are due on July 7, 2017
Recent calls have been made for rapid and responsible sharing of research data in public health emergencies and outbreaks.
New guidelines help researchers undertaking systematic reviews and IPD meta-analyses to report their findings in a full and transparent manner.
In celebration of Global Health Trials' fifth birthday (May 11th 2015) Professor Trudie Lang, Principal Investigator of the programme, talks to us about why Global Health Trials was started, why people should share their experience, and what the future holds.
Methods for Specifying the Target Difference in a Randomised Controlled Trial: The Difference ELicitation in TriAls (DELTA) Systematic Reviewby Jai K Das
Randomised controlled trials (RCTs) are widely accepted as the preferred study design for evaluating healthcare interventions. When the sample size is determined, a (target) difference is typically specified that the RCT is designed to detect. This provides reassurance that the study will be informative, i.e., should such a difference exist, it is likely to be detected with the required statistical precision. The aim of this review was to identify potential methods for specifying the target difference in an RCT sample size calculation.
Research ethics is strictly interrelated to scientific and methodological standards: a research project involving human participants is never ethical, if it is not scientifically and methodologically sound in the first place.
Powerpoint slides representing a comprehensive overview of some issues surrounding data management, including an overview of data management, the issue of coding, and regulations and guidelines. NEW ADDITIONS AUGUST 2013: Code of Federal Regulations part 11 - Guidelines on how to implement
This is a nice guidance document on principles in electronic data capture from Industry perspective (FDA)
Transnational Working Group on Data management of the ECRIN, the European Clinical Research Infrastructures Network, present recommendations for quality and harmonisation for data management. In addition good data management practices in general are identified.
Clinical Data Management: Current status, challenges and future directions from industry perspectives.by Harry van Loen
This publication discsusses whether or not open-source clinical trial data management will improve the likelihood that good clinical trials are conducted in resource-constrained settings.