Abstract
Meta-analyses typically assess comparative treatment response for an end point at specific timepoints across studies. However, during drug development, it is often of interest to understand the response time-course of competitor compounds for a variety of purposes. Examples of such application include informing study design and characterizing the onset, maintenance, and offset of action. This tutorial acts as a ''points for consideration'' document, reviews relevant literature, and fits a longitudinal model to an example dataset.
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CITATION STYLE
Boucher, M., & Bennetts, M. (2018). Many flavors of model-based meta-analysis: Part II - Modeling summary level longitudinal responses. CPT: Pharmacometrics and Systems Pharmacology, 7(5), 288–297. https://doi.org/10.1002/psp4.12299
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