Speaker
Description
Empirical data analysis often involves a large number of defensible analytic choices, including model specification, covariate selection, transformations, and approaches to missing data. These decisions can meaningfully influence statistical results, yet they are rarely explored or reported systematically. This talk presents a reproducible R-based workflow for examining analytic multiplicity using multiverse analyses and vibration of effects frameworks. The approach is motivated by the author's ongoing research on trustworthy data analysis and practical challenges encountered in large observational epidemiological studies. Using R, analysts can enumerate plausible analytic specifications, run large sets of models programmatically, and summarize the resulting distribution of estimates rather than relying on a single analytic pathway. This presentation aims to demonstrate how tidyverse pipelines, reproducible project structures, and modern visualization tools can be used to explore and communicate how results vary across reasonable modeling decisions. Examples from applied epidemiology and public health will illustrate how alternative analytic choices can produce substantially different effect estimates even when each specification is methodologically defensible. Emphasis will be placed on practical implementation in R, computational efficiency, and clear communication of analytic uncertainty. By making analytic decision spaces visible and reproducible, multiverse and vibration of effects approaches allow researchers to assess the robustness of empirical findings and strengthen transparency in statistical reporting.
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | analytic multiplicity, multiverse analysis, vibration of effects, reproducible research, epidemiology |
|---|---|
| Virtual Option | This submission is for onsite presentation primarily, but I would also like it to be considered for pre-recorded virtual presentation if I don't get an onsite slot |
| Material License | CC-BY 4.0 |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |
| Interested in serving as reviewer? | alyssahcolumbus@gmail.com |