David V. Glidden

About the Author

David V. Glidden is a distinguished statistician and biostatistician whose expertise in advanced statistical modeling has made significant contributions to the fields of public health and medical research. With a career spanning decades at leading academic institutions, he has focused on developing practical methodologies for analyzing complex biological data, bridging the gap between theoretical statistics and real-world applications in epidemiology and clinical trials. Glidden's work emphasizes clarity and accessibility, enabling researchers to apply sophisticated techniques like regression analysis to improve health outcomes. As co-author of the widely acclaimed Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models, he continues to influence the next generation of scientists through his teaching and publications, advocating for rigorous yet intuitive approaches to data-driven decision-making in biology and health sciences.