ArticleJournal of statistical theory and practice2025
A Statistical Analysis Plan Template for Observational Studies: Promoting Quality and Rigor in Research.
Article in Journal of statistical theory and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A stakeholder-inclusive conceptual framework for modeling routinely collected health data for therapeutic decision-making illustrated by means of multistate models.BMC medical research methodology · 2026Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Rigorous and transparent research practices are essential for trustworthy scientific findings, particularly in observational studies where data-driven analyses carry risks of questionable research practices. This paper introduces a statistical analysis plan (SAP) template specifically designed for observational research, an area where guidance on SAP development is crucially lacking. The template offers clear guidelines for prespecifying key aspects of the analysis. The guidance encompasses essential SAP components, including study objectives, measures and variables, and analytical methods, as well as administrative details to support documentation and reproducibility. Designed for broad useability, the template is intended to support researchers, statisticians, students, and interdisciplinary teams across clinical, academic, industry, and government sectors. By adopting this template, researchers can strengthen study integrity, reduce ad hoc analytic modifications, demonstrate the avoidance of questionable research practices such as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.