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New drug development requires major investment in capital, human resources and technical expertise. Strict adherence to regulations on testing and manufacturing standards is also required before a new drug can be marketed. One of the greatest challenges in conducting clinical trials is that of efficiency. As trials become more comprehensive, involving large numbers of participants globally, their duration is prolonged and costs increase. The longer trials last, the shorter is the patent life remaining after market approval and the longer patients must wait for the new product. This short course covers the key components of clinical trials and how these requirements interact with the drug development cycle.

Analytical statistical elements are essential concepts in the design of clinical trials. This analysis helps us to understand whether a conclusion from a study of a sample of the target population applies generally to that population as a whole. In particular, it helps us to answer the question: Did the treatment effect in the given study occur just by chance? The statistical elements of a well-controlled study minimise the chances of drawing the wrong conclusions, by providing clear thresholds for such errors. The basic statistical elements of a clinical trial include eligibility criteria, randomisation, sample size, power, and blinding, and these are discussed in this short course.