Keywords
ChecklistCode (set theory)Computer sciencePredictive modellingMedical physicsArtificial intelligenceMachine learningPsychologyMedicineProgramming languageCognitive psychologySet (abstract data type)
Affiliated Institutions
Related Publications
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
Systematic reviews and meta-analyses are essential to summarize evidence relating to efficacy and safety of health care interventions accurately and reliably. The clarity and tr...
Novel methods improve prediction of species’ distributions from occurrence data
Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occ...
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
Scoping reviews, a type of knowledge synthesis, follow a systematic approach to map evidence on a topic and identify main concepts, theories, sources, and knowledge gaps. Althou...
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
Systematic reviews and meta-analyses are essential to summarise evidence relating to efficacy and safety of healthcare interventions accurately and reliably. The clarity and tra...
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why ...
Publication Info
- Year
- 2019
- Type
- book
- Citations
- 2899
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
2899
OpenAlex
Cite This
Ewout W. Steyerberg
(2019).
Clinical Prediction Models.
Statistics for biology and health
.
https://doi.org/10.1007/978-3-030-16399-0
Identifiers
- DOI
- 10.1007/978-3-030-16399-0