After they are published, clinical study results should be critically reviewed and assessed for such things as reliability, bias, significance, and fit with existing literature.
When performing a critical reading of clinical study results, the reader should take relevant information into account from the best available sources and should consider questions about the reliability,...
Clinical trial results are statistically analysed in terms of demographics, efficacy, and safety. Different types of clinical trial may warrant different interpretations of trial results.
Statistics play an important role in clinical trials in preventing errors, biases, and false inferrences. This article covers some key statistical concepts, such as hypothesis testing, type 1 and...
Researchers in clinical trials select sample populations from the whole patient population that the trial applies to, as it is not possible to run the clinical trial in the...
There are several kinds of bias that may occur in clinical trials, including selection, measurement, and publication bias. Statistics are used in clinical trials in order to avoid or...
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.OkPrivacy policy