Our Planned Methods
Rigorous, transparent, and reproducible analytical methods being designed to provide rapid yet reliable responses to health misinformation and research misinterpretation.
Our Planned Analysis Process
A systematic approach being developed to ensure both speed and scientific rigor in our future response to health misinformation.
Claim Identification Process
We plan to identify health claims requiring analysis through monitoring of scientific literature, media reports, and public health discussions.
Data Source Selection
Access comprehensive datasets including large-scale electronic health records (partnership planned) from To be established and relevant public health databases.
Statistical Analysis Framework
We will apply rigorous statistical methods appropriate to the research question, including power analysis, confidence intervals, and effect size calculations.
Transparent Reporting Standards
We will document all methodological choices, data sources, analytical approaches, and limitations in publicly accessible reports.
Analytical Approaches
We plan to employ multiple analytical methodologies depending on the research question and available data sources.
Observational Studies
Large-scale analysis of electronic health records to identify patterns, associations, and trends in real-world patient outcomes.
Applications:
- Treatment effectiveness
- Adverse event monitoring
- Population health trends
Comparative Effectiveness Research
Direct comparison of different treatments, interventions, or approaches using real-world evidence.
Applications:
- Drug safety profiles
- Treatment protocols
- Intervention outcomes
Meta-Analysis
Systematic combination of multiple studies to provide more robust evidence on health interventions.
Applications:
- Research synthesis
- Effect size estimation
- Heterogeneity assessment
Causal Inference
Advanced statistical techniques to establish causal relationships from observational data.
Applications:
- Treatment attribution
- Risk factor analysis
- Policy impact assessment
Quality Assurance
Multiple layers of quality control ensure the reliability and validity of our analytical findings.
Peer Review Process
All analyses will undergo internal peer review by qualified researchers before publication.
Reproducibility Standards
We will provide sufficient detail for independent researchers to reproduce our analyses.
Rapid Response Capability
Streamlined processes being developed will enable rapid analysis while maintaining scientific rigor.
Our Data Sources
To be established Partnership
Access to large-scale electronic health records (partnership planned) providing comprehensive real-world evidence across diverse patient populations and healthcare settings.
Public Health Databases
Integration with publicly available health surveillance systems, clinical trial registries, and epidemiological databases.
Scientific Literature
Systematic review of peer-reviewed research to contextualize our analyses within the broader scientific evidence base.
Data Scale & Scope
Transparency & Limitations
We acknowledge that all analytical methods have limitations, and we are committed to transparently communicating these limitations in every analysis we publish.
Our reports include detailed discussions of methodological choices, potential biases, statistical assumptions, and the scope of conclusions that can be drawn from our analyses.
By maintaining this commitment to transparency, we enable the scientific community and the public to properly interpret our findings and understand the strength of evidence behind our conclusions.