Robert W. Platt – författare

Population growth and global health disparities for many reproductive and perinatal outcomes are but a few of the pressing issues facing public health today. Despite growing interest in the field, formal training in reproductive and perinatal epidemiology remains limited, with few available textbooks aimed at providing an overview of the field. In response to this need, faculty from the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) and CIHR's Institute of Human Development, Child and Youth Health (IHDCYH) developed an intensive, competitive, Summer Institute in Reproductive and Perinatal Epidemiology. The curriculum of this Summer Institute has been developed into a textbook to provide students and researchers with a working knowledge of the substantive and methodologic issues underlying reproductive and perinatal epidemiology. Reproductive and Perinatal Epidemiology offers a core curriculum that addresses the epidemiology of major reproductive and perinatal outcomes. From human fecundity to birth and neonatal outcomes, the subject is approached from as international a perspective as possible, and the unique methodologic issues underlying each outcome are discussed. Developed by leading researchers in collaboration with their students in response to their needs and concerns, this is the definitive textbook on the subject.

The definitive textbook on the subject, offering a core curriculum that addresses the epidemiology of major reproductive and perinatal outcomes.

Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have important limitations when treatment effects are heterogeneous. In practice, patients often respond differently to the same intervention due to differences in demographics, genetics, comorbidities, and other contextual factors. This variability creates challenges for personalized medicine and limits the generalizability of trial results to diverse real-world patient populations.This comprehensive guide addresses these critical gaps by exploring how real-world data from electronic health records, patient registries, and observational studies can transform comparative effectiveness research and enable truly personalized treatment decisions. Comparative Effectiveness and Personalized Medicine Research Using Real-World Data provides detailed methodological frameworks for moving beyond traditional subgroup analyses to sophisticated approaches that harness the full potential of real-world evidence for individualized patient care.FeaturesComprehensive coverage of statistical techniques for analyzing heterogeneity of treatment effects and estimating individualized treatment effectsInnovative approaches for combining diverse data sources to generate robust comparative effectiveness evidenceCutting-edge algorithms and computational methods for personalized medicine applicationsReal-world examples, case studies, and vignettes demonstrating successful applications in clinical practiceAccess to dedicated online training materials, example code, and supplementary content through companion websitesCurrent guidance from FDA, EMA, and other regulatory bodies on real-world evidence in decision-makingThis text serves as an essential resource for healthcare researchers, biostatisticians, epidemiologists, health economists, regulatory professionals, and clinicians seeking to understand and implement advanced methodologies in comparative effectiveness research. Written through collaboration between leading experts in healthcare research, biostatistics, epidemiology, and health policy, it provides both theoretical foundations and practical tools for leveraging real-world data in evidence generation. The book is particularly valuable for professionals involved in regulatory submissions, health technology assessments, treatment guideline development, and personalized medicine initiatives, offering the methodological rigor needed to enhance the credibility and reliability of real-world evidence in healthcare decision-making.

Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have important limitations when treatment effects are heterogeneous. In practice, patients often respond differently to the same intervention due to differences in demographics, genetics, comorbidities, and other contextual factors. This variability creates challenges for personalized medicine and limits the generalizability of trial results to diverse real-world patient populations.This comprehensive guide addresses these critical gaps by exploring how real-world data from electronic health records, patient registries, and observational studies can transform comparative effectiveness research and enable truly personalized treatment decisions. Comparative Effectiveness and Personalized Medicine Research Using Real-World Data provides detailed methodological frameworks for moving beyond traditional subgroup analyses to sophisticated approaches that harness the full potential of real-world evidence for individualized patient care.Features Comprehensive coverage of statistical techniques for analyzing heterogeneity of treatment effects and estimating individualized treatment effects Innovative approaches for combining diverse data sources to generate robust comparative effectiveness evidence Cutting-edge algorithms and computational methods for personalized medicine applications Real-world examples, case studies, and vignettes demonstrating successful applications in clinical practice Access to dedicated online training materials, example code, and supplementary content through companion websites Current guidance from FDA, EMA, and other regulatory bodies on real-world evidence in decision-making This text serves as an essential resource for healthcare researchers, biostatisticians, epidemiologists, health economists, regulatory professionals, and clinicians seeking to understand and implement advanced methodologies in comparative effectiveness research. Written through collaboration between leading experts in healthcare research, biostatistics, epidemiology, and health policy, it provides both theoretical foundations and practical tools for leveraging real-world data in evidence generation. The book is particularly valuable for professionals involved in regulatory submissions, health technology assessments, treatment guideline development, and personalized medicine initiatives, offering the methodological rigor needed to enhance the credibility and reliability of real-world evidence in healthcare decision-making.