Most important indicators of clinical experiments evaluation

OData support
Supervisor:
Dr. Kovács Levente
Department of Control Engineering and Information Technology

During I made my thesis, I have digested the recommended and self-found literature, and get to know the role and importance of clinical trials in today’s medicine and the topic-related concepts and terms, in addition, real and done trials and their results by them.

In the first section I described the term of study and trial, their similarities, differences, the associated basic concepts like randomization, control, exposition, outcome variable, confounding variable etc. In addition I present the main experimental designs and the causes of their application. For the proper understanding I've collected a lot of examples to illustrate how these experiments work in practice.

In the second part I presented the most importent indicators of clinical trials and the mathematical and logical relationships between of them. The presented indicators: risk, relative risk (RR), odds ratio (OR), attributable risk (AR), Absolute Risk Reduction (ARR), Relative Risk Reduction (RRR), number needed to treat (NNT), number needed to harm (NNH). In addition I also presented the most important metrics of diagnostic tests: sensitivity (SE), specificity (SP), predictive value and likelihood ratio.

In order to easier understanding I aspired to illustrate the practical role if them with example trials. To do this I drew examples from the literature and the indicators were presented trough two theoretical examples.

Int he third part I’ve presented the OpenEpi, an open source epidemiologic statistic web based software.

Downloads

Please sign in to download the files of this thesis.