Patrick J Royston
Patrick J Royston publishes mostly in Statistics and Probability, Oncology and Economics and Econometrics, on topics such as Statistical Methods in Clinical Trials, Statistical Methods and Inference and Statistical Methods and Bayesian Inference.
- World rank
- #32,136 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #2,476 of 367,258
- Works
- 417
- Citations
- 74k
- Citations per work
- 177.2
What does Patrick J Royston research?
Patrick J Royston's work is mostly in Mathematics (39%), Medicine (12%), Economics, Econometrics and Finance (3%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else19145.7%
- Physical Sciences16339.2%
- Mathematics16339.2%
- Health Sciences5012.0%
- Medicine5012.0%
- Social Sciences133.1%
- 1Statistics and Probability39% of their works
- 2Oncology3% of their works
- 3Economics and Econometrics3% of their works
- 4Epidemiology3% of their works
- 5Reproductive Medicine3% of their works
- 6Pulmonary and Respiratory Medicine3% of their works
Research topics
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Advanced Statistical Methods and Models
- Health Systems, Economic Evaluations, Quality of Life
- Statistical Distribution Estimation and Applications
- Meta-analysis and systematic reviews
Which keywords describe Patrick J Royston's research?
The keywords of their largest research topics: Bayesian Methods, Adaptive Designs, False Discovery Rate, Regularization, Variable Selection, Bayesian Modeling, Multiple Imputation and Causal Inference.
- Meta-Analysis
- Generalized Exponential
- Cost-effectiveness Analysis
- Multicollinearity
- Causal Inference
- Bayesian Modeling
- Regularization
- Adaptive Designs
- Bayesian Methods
- False Discovery Rate
- Variable Selection
- Multiple Imputation
- Propensity Score
- Regression Analysis
- Quality of Life
- Skew Distributions
- PRISMA Statement
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 17 words, with their numbers
- Bayesian Methods1662 topics
- Adaptive Designs891 topic
- False Discovery Rate891 topic
- Regularization771 topic
- Variable Selection771 topic
- Bayesian Modeling741 topic
- Multiple Imputation741 topic
- Causal Inference341 topic
- Propensity Score341 topic
- Multicollinearity261 topic
- Regression Analysis261 topic
- Cost-effectiveness Analysis211 topic
- Quality of Life211 topic
- Generalized Exponential181 topic
- Skew Distributions181 topic
- Meta-Analysis161 topic
- PRISMA Statement161 topic
Where does Patrick J Royston work?
Patrick J Royston's main affiliation in the publication record is MRC Clinical Trials Unit at UCL, United Kingdom.
How many publications and citations does Patrick J Royston have?
OpenAlex counts 417 works and 73,891 citations for Patrick J Royston, an h-index of 99, ranking #32,136 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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