Abstract
A REVIEW ON BIOSTATISTICAL METHODS USED IN PHARMACOLOGY
Prafull Gaur, Vipin Mathur*
ABSTRACT
Biostatistics forms the quantitative foundation of pharmacology, enabling objective evaluation of experimental and clinical data across all stages of drug development. It ensures scientific validity, reproducibility, and precision in interpreting pharmacological findings through statistical tools such as hypothesis testing, regression analysis, ANOVA, and survival analysis. Recent advances, including Bayesian modeling, adaptive clinical trial designs, and machine learning-based analytics, have expanded its role from traditional efficacy and safety evaluation to real-world evidence assessment and precision pharmacotherapy. The integration of biostatistical approaches in pharmacokinetics, pharmacodynamics, and pharmacovigilance enhances decision-making and regulatory compliance, ultimately bridging the gap between laboratory research and clinical application.
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