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RETRACTED: Part II: a step-by-step guide to latent class analysis
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Post-publication record
- Nature
- Retraction
- Reason
- Concerns/Issues about Referencing/Attributions;Retract and Replace;
- Date
- 6/5/2023 0:00
- Flagged by OpenAlex?
- Yes
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement — it reports them as false, which reads as “fine”.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Journal of Clinical Epidemiology
- Topic
- Machine Learning in Healthcare
- Field
- Computer Science
- Canadian institutions
- St. Michael's HospitalWomen's College HospitalUniversity of Toronto
- Funders
- —
- Keywords
- Latent class modelIdentification (biology)Class (philosophy)HomogeneousLatent variableComputer scienceTwo stepPopulationEconometricsStatisticsData miningRisk analysis (engineering)Data scienceMedicineEnvironmental healthMathematicsMachine learningArtificial intelligenceApplied mathematics
- Has abstract in OpenAlex
- no