Since the launch, there has been an average of almost 23,000 page views per month. While this is the average, it has been growing month on month.
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, methodology, results, discussion, significance, and conclusions of the study.
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 type 2 errors, and the difference between correllation and causation.
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 whole patient population. This is a standard statistical producedure. There are many things to consider in the selection of a sample population
The use of statistics in clinical trials is key in preventing errors and biases in research.
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 correct these biases.