
DAC Assessment Tool (DAT)
The DAT is a questionnaire covering design, analysis and communication topics which may be used by study PIs and their teams to help them conduct informative studies.


Clinical Trial Simulation
This software tool has been designed to help statisticians and non-statisticians who are new to clinical trial simulation and adaptive designs get up to speed with these important developments in trial design.


Integrating Sex & Gender
Developed in partnership with the Global Center for Gender Equality at Stanford University, this overview of best practices includes links to tools and references to support sex-gender integration.


Target Policy Profile
The TPoP has been developed to facilitate dialogue with a range of relevant stakeholders and to help PIs generate the evidence policymakers require to make a policy change.


Statistical Analysis Plan Template
This template, compiled and reviewed by a team of expert biostatisticians, helps researchers prepare a comprehensive statistical analysis plan alongside their study protocol.


Recruitment Plan Template
This template, the result of exhaustive searches of publicly available sources and consultations with experts, helps researchers develop and document a comprehensive strategy for effectively recruiting study participants.


Maturity Model
This model is designed to help funders of clinical trials define, develop, and assess their own scientific design review process of the clinical studies they fund.


Precision Adaptive Randomized Trial (PART) Tools
These materials are for investigators and statisticians who are planning or conducting randomized trials and using covariate-adjusted analyses, or analyses using participant characteristics assessed prior to randomization.


Protocol Library
Focusing on research protocols where trial sites were located in LMICs, this resource includes a library of publicly available global health trial protocols and a registry list.


Publications
This extensive suggested reading list was developed around the DAC principles and best practices.

Please note: Implementors of studies should also always refer to relevant regulatory standards and guidelines (e.g. FDA, EMA) to assist with study/protocol design.