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Adaptive and Flexible Clinical Trials by Richard Chin

By Richard Chin

Adaptive scientific trial designs, in contrast to conventional mounted medical trial designs, allow amendment of reviews according to the information generated during the trial. This frequently leads to reports which are considerably speedier, extra effective, and extra strong. fresh advancements in web-based real-time facts access and advances in statistical equipment have made adaptive scientific trials even more popular Read more...

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Bayesian statistics rely on epistemological principles that are distinct from traditional frequentists. Adaptive designs by their very nature rely on Bayesiantype changes in the conduct of the study but the conclusions are usually based on non-Bayesian statistics. Bayesian analysis is discussed later in the book. 9 Non-Adaptive Study Designs Sometimes misclassified as adaptive designs, unplanned changes to the study implemented because of data external to the study, because of data from the study, or because of logistics, are not adaptive designs.

Examples include differences in how the patients are assessed, placebo effect, differences in dropout rates, etc. For example, a physician may unconsciously score the patients in the treatment arm better when assessing the outcome because he believes strongly that the drug works. 05 or less). In many instances, it can reduce Type II error levels significantly below that that can be achieved with conventional designs. In other instances, it takes advantage of Bayesian techniques simply unavailable to conventional designs and arguably results in better accuracy.

It is a way of taking a particular type of data—in this case, a large amount of numeric data—and drawing some conclusion about the world based on that data. As you might imagine, there are many ways of taking a large set of numeric data and drawing conclusions.

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