MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Statistical Methods in Medical Research
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

233 results · 1 filter active ·
Results by year
20012025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
233 works in the cohort · of 4,299,418page 2 of 5

Labels cover 2 of 233 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 233 of 233 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Demystifying estimands in cluster-randomised trials
Brennan C Kahan, Bryan S. Blette, Michael O. Harhay, Scott D. Halpern, Vipul Jairath, Andrew Copas +1 more
2024· article· en· Statistical Methods in Medical Research· Mathematics
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · metaresearch
26
citations
affunlabeled
Bayesian cure rate models induced by frailty in survival analysis
Daiane de Souza, Vicente G. Cancho, Josemar Rodrigues, N. Balakrishnan
2017· article· en· Statistical Methods in Medical Research· Social Sciences
distilled prediction:candidate · metaresearch+sts+research_integrity+insufficient_payloadconsensus · metaresearch
26
citations
afffundunlabeled
Meta-analyses of safety data: a comparison of exact versus asymptotic methods
Ben Vandermeer, Liza Bialy, Nicola Hooton, Lisa Hartling, Terry P. Klassen, Bradley C. Johnston +1 more
2008· review· en· Statistical Methods in Medical Research· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+sts+open_science+research_integrity+insufficient_payloadconsensus · metaresearch
26
citations
affaboutunlabeled
Eliminating systematic bias from case-crossover designs
Xiaoming Wang, Sukun Wang, Warren B. Kindzierski
2018· article· en· Statistical Methods in Medical Research· Decision Sciences
distilled prediction:candidate · metaresearch+sts+insufficient_payloadconsensus · metaresearch+insufficient_payload
16
citations
aboutno affunlabeled
Surrogate endpoints: wishful thinking or reality?
Tomasz Burzykowski
2008· editorial· en· Statistical Methods in Medical Research· Economics, Econometrics and Finance
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · metaresearch+research_integrity+insufficient_payload
14
citations
affunlabeled
Meta-analysis using Dirichlet process
Saman Muthukumarana, Ram C. Tiwari
2012· article· en· Statistical Methods in Medical Research· Computer Science
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch
14
citations

How this was built: Screen · Findings · About