Statistical models are mathematical equations that represent relationships between variables in a study, and matching appropriate statistical models with studies is a crucial element of conclusive research. In the first section of this session, "Clinical Translational Research: The Statistical Model," a lecturer demonstrates the process of defining research models that represent and test hypotheses effectively. The lecturer discusses the selection of appropriate statistical models for various types of investigations, and how to construct a conceptual model that tests the relationship between variables that affect health outcomes.
Systematic reviews of large numbers of published research studies, with statistical analyses of their collective findings conducted through meta-analyses, are used to help develop clinical guidelines and indicate needed directions for additional research. In "Bringing Evidence Together: Systematic Reviews and Meta-Analysis," a lecturer discusses their roles in clinical and translational research. Participants will learn how to evaluate the quality and applicability of systematic reviews meta-analyses, and how research studies progress from evidence to clinical guidelines.