Pharmaceutical Methods
Publishing Quality Research & Reviews
Pharmaceutical Methods
Publishing Quality Research & Reviews
Author(s): Antonio Steardo*
The protocols are important to assess the factors determining the features of a clinical study under their items the protocol clarifies the methods, the data setting and management, and the administrative and introductory information. Several issues may be caused if any of these elements are missing. Firstly, trial couldn’t be approved without any of these elements, secondly, they’re part of the clinical study and their absence may create confusion during the conduction of the study, in third instance the method sections set the methods to take the trial itself. It is very important to consider some statistical features in the onset of a trial, and indeed accuracy/precision and overall measurement scales are necessary to collect data and then evaluate the error. There are two types of errors in testing a statistical hypothesis: the type I error accept a false hypothesis as correct, and type II error is on the contrary the failure to reject a true hypothesis as incorrect. It’s important to calculate the hypothesis to evaluate the probability we could have a positive or a negative found in the sample data. An estimate may be done on the effect size, which is the quantity of the force of a phenomenon. Another feature is the calculus of the sample size done previously starting the trial. Without a correct number of participants, the study itself wouldn’t give the appropriate result. “Number needed to treat” is an advantaging method to deal with adverse event such as death. The main issue with which statistician may occur is the number of patients available to participate to the trial. All these facts are connected one by one, and they reflect the statistical arrangements need to be considered to produce the correct data outcomes.
