COMPARATIVE ANALYSIS OF STATISTICAL METHODS IN CLINICAL TRIALS
Keywords:
statistics, statistical hypothesis, total and residual variance, clinical test, regression analysis, ANOVA (analysis of variance), dependent and independent samples.Abstract
“Comparative Analysis of Statistical Methods in Clinical Trials” is a study of various statistical approaches applied to assess the efficacy and safety of new medical drugs and treatment methods. The paper examines the primary statistical methods, such as ANOVA and regression analysis, used for analyzing clinical trial data, and it also addresses the peculiarities of their application depending on data structure, study type, and stage of clinical testing. Special attention is given to comparing different methods in terms of accuracy, reliability, and their ability to minimize the risks of Type I and Type II errors. The analysis includes practical examples where the choice of a statistical method significantly influences the research outcomes and clinical decision-making. The work aims to enhance the quality of statistical analysis and promote more effective use of statistical tools in making evidence-based medical decisions.
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