European Patients Academy on Therapeutic Innovation: Role of Statistics in Clinical Trials

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European Patients Academy on Therapeutic Innovation emphasizes the significant role of statistics in clinical trials. Clinical research aims to determine treatment efficacy and safety, while statistical methods aid in designing, analyzing, and reporting trials to minimize biases and errors. Understanding statistics is crucial for interpreting trial results and making informed decisions in medical research.


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  1. European Patients Academy on Therapeutic Innovation The Role of Statistics in Clinical Trials

  2. European Patients Academy on Therapeutic Innovation Before a medicine is approved for use, it has to undergo clinical trials to test its efficacy and safety. Clinical research involves: investigating proposed medical treatments, assessing the relative benefits of competing therapies, and establishing optimal treatment combinations. 2

  3. Examples of Clinical Research European Patients Academy on Therapeutic Innovation Clinical research attempts to answer questions such as: Should a man with prostate cancer undergo radical prostatectomy or radiation or wait and see? and, Is the incidence of serious adverse effects among patients receiving a new pain-relieving therapy greater than the incidence of serious adverse effects in patients receiving the standard therapy? 3

  4. The Role of Statistics European Patients Academy on Therapeutic Innovation Statistics play a very important role in any clinical trial from: design, conduct, analysis, and reporting in terms of controlling for and minimising biases, confounding factors, and measuring random errors. A grasp of statistical methods is fundamental to understanding randomised trial methods and results. 4

  5. Statistical Methods European Patients Academy on Therapeutic Innovation Statistical methods provide formal accounting for sources of variability in patients responses to treatment. The use of statistics in clinical trials allows the clinical researcher to form reasonable and accurate inferences from collected information, and sound decisions in the presence of uncertainty. Statistics are key in preventing errors and biases in medical research. 5

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