Call for content: Methods and Applications for Real World Data
Real-world data hold great potential for new scientific discoveries, problem-solving and decision-making. To unlock the full potential, new, effective, and practically feasible statistical and machine learning methods are needed.
Our new collection, guest edited by Prof. Panagiotakos and Prof. Liu, welcomes content highlighting opportunities and challenges around methods and applications for real-world data, as well as big data challenges in medical research.
Read MoreEditor's highlights
Articles
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On model-based time trend adjustments in platform trials with non-concurrent controls
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Measuring and controlling medical record abstraction (MRA) error rates in an observational study
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Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv
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Harmonized procedure coding system for surgical procedures and analysis of surgical site infections (SSI) of five European countries
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The case study approach
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Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach
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Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period
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Using the framework method for the analysis of qualitative data in multi-disciplinary health research
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How to do a grounded theory study: a worked example of a study of dental practices
Aims and scope
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Citation Impact
4.622 - 2-year Impact Factor (2021)
6.727 - 5-year Impact Factor (2021)
2.742 - SNIP (Source Normalized Impact per Paper)
1.933 - SJR (SCImago Journal Rank)Speed
48 days to first decision for all manuscripts (Median)
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Peer-review Terminology
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The following summary describes the peer review process for this journal:
Identity transparency: Single anonymized
Reviewer interacts with: Editor
Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication