Joie Ensor
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
Papers in
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- Statistical Methods in Epidemiology 28
- Statistical Methods in Clinical Trials 4
-
- Meta-analysis and systematic reviews 24
- Co-authors
- Richard D Riley (56 shared papers)Kym I E Snell (27 shared papers)Professor Gary S. Collins (25 shared papers)Karel G.M. Moons (14 shared papers)Frank E. Harrell (5 shared papers)Danielle L. Burke (10 shared papers)Thomas P. A. Debray (11 shared papers)Johannes B. Reitsma (4 shared papers)
- Journals
- Statistics in Medicine (13 papers)BMJ (11 papers)Journal of Clinical Epidemiology (7 papers)Research Synthesis Methods (6 papers)Health Technology Assessment (4 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Joie Ensor
72 papers receiving 8.8k citations
Joie Ensor's Hit Papers
Peers
Comparison fields: 5 of 174
- Health Informatics 327
- Infectious Diseases 1.3k
- Statistics and Probability 863
- Statistics, Probability and Uncertainty 557
- Health Information Management 513
Countries citing papers authored by Joie Ensor
This map shows the geographic impact of Joie Ensor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joie Ensor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joie Ensor more than expected).
Fields of papers citing papers by Joie Ensor
This network shows the impact of papers produced by Joie Ensor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joie Ensor. The network helps show where Joie Ensor may publish in the future.
Co-authors
The 25 scholars most cited alongside Joie Ensor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal Hit paper breakdown → | 2020 | 2253 |
| 2 | Calculating the sample size required for developing a clinical prediction model Hit paper breakdown → | 2020 | 1630 |
| 3 | Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes Hit paper breakdown → | 2018 | 766 |
| 4 | A guide to systematic review and meta-analysis of prognostic factor studies Hit paper breakdown → | 2019 | 588 |
| 5 | A guide to systematic review and meta-analysis of prediction model performance Hit paper breakdown → | 2017 | 466 |
| 6 | External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges Hit paper breakdown → | 2016 | 434 |
| 7 | Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ Hit paper breakdown → | 2016 | 389 |
| 8 | Minimum sample size for external validation of a clinical prediction model with a binary outcome Hit paper breakdown → | 2021 | 233 |
| 9 | 2018 | 213 | |
| 10 | Evaluation of clinical prediction models (part 2): how to undertake an external validation study Hit paper breakdown → | 2024 | 164 |
| 11 | 2020 | 162 | |
| 12 | 2018 | 140 | |
| 13 | 2020 | 120 | |
| 14 | 2017 | 91 | |
| 15 | Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study Hit paper breakdown → | 2024 | 90 |
| 16 | 2016 | 83 | |
| 17 | 2021 | 82 | |
| 18 | 2023 | 76 | |
| 19 | 2021 | 73 | |
| 20 | 2016 | 72 |
About Joie Ensor
Joie Ensor is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Geriatrics and Gerontology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 8.9k indexed citations. Recurring topics across this work include Statistical Methods in Epidemiology (28 papers), Meta-analysis and systematic reviews (24 papers), Frailty in Older Adults (5 papers), Acute Myocardial Infarction Research (5 papers), Coronary Interventions and Diagnostics (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Statistical Methods in Clinical Trials (4 papers) and Aging, Health, and Disability (4 papers). The work is most often cited by research in Health Informatics (327 citations), Infectious Diseases (1.3k citations), Statistics and Probability (863 citations), Statistics, Probability and Uncertainty (557 citations) and Health Information Management (513 citations). Joie Ensor has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Richard D Riley, Kym I E Snell, Professor Gary S. Collins, Karel G.M. Moons, Frank E. Harrell, Danielle L. Burke, Thomas P. A. Debray, Johannes B. Reitsma, Maarten van Smeden and Glen Philip Martin. Their work appears in journals such as Statistics in Medicine, BMJ, Journal of Clinical Epidemiology, Research Synthesis Methods and Health Technology Assessment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.