A PRocess guide for INferential studies using healthcare data from routine ClinIcal Practice to evaLuate causal Effects of Drugs (PRINCIPLED)

The presentation introduced a stepwise process covering the range of considerations, including 1) formulating a well-defined causal question via specification of the target trial protocol, 2) Describing the emulation of each component of the target trial protocol and identifying fit-for-purpose data, 3) Assessing expected precision and conducting diagnostic evaluations, 4) Developing a plan for robustness assessments including deterministic sensitivity analyses, quantitative bias analyses, and net bias evaluation, and 5) inferential analyses, to systematically consider key choices for study design and data analysis for non-interventional studies with the central objective of fostering generation of reliable and reproducible evidence.