Sentence examples for generated robust evidence from inspiring English sources

Recent deep sequencing studies have generated robust evidence for the link between recurrent rare variants and ASD [6 8].

Notwithstanding these difficulties, genome-wide scans for psoriasis susceptibility have generated robust evidence for a major locus lying within the major histocompatibility complex (PSORS1, Psoriasis Susceptibility 1), on the short arm of chromosome 6.

Collaborative approaches and synergistic efforts between vaccine manufacturers and key stakeholders, such as regulatory and public health agencies, are needed to facilitate access to data, and to drive optimal study design and implementation, with the aim of generating robust evidence.

There is need to generate robust evidence focusing on issues of importance to ministry of finance.

Collaborative research to develop large randomised controlled trials to generate robust evidence supporting one new surgical technique over the other is now indicated.

Yet others in the Consortium were torn between science and advocacy, feeling compelled to generate robust evidence and also responsible for acting upon the policy process.

It will produce 10 bilingual Decision boxes on common clinical topics in primary care, and it will generate robust evidence of family physicians' and patients' perceptions of the content and format of Decision box prototypes.

As academics and scientists, we have conducted research to generate robust scientific evidence to support health planning and decision making in Vietnam.

Taken together, the URBAN Study will generate robust scientific evidence by using appropriate and standardized measures to provide a New Zealand-specific understanding of the associations between urban design and health outcomes, as well as contributing data to an international research project.

The primary aim of the IPTi Consortium was to generate scientifically robust evidence that would inform policy and practice on IPTi in Africa (IPTi Consortium 2003).

The underlying aim was to facilitate comparisons between different geographical areas so as to generate a robust evidence base for health planning and resource allocation.