What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Disease
His primary scientific interests are in Internal medicine, Cohort study, Odds ratio, Risk factor and Surgery.
His Internal medicine study frequently draws connections between related disciplines such as Psychiatry.
The study incorporates disciplines such as QRISK, Proportional hazards model, Algorithm, Prospective cohort study and Risk assessment in addition to Cohort study.
His work in the fields of Odds ratio, such as Nested case-control study, intersects with other areas such as Gestodene.
The concepts of his Risk factor study are interwoven with issues in Body mass index, Framingham Risk Score and Hazard ratio.
His Surgery study combines topics from a wide range of disciplines, such as Epidemiology, Confidence interval and Case-control study.
His most cited work include:
- Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. (980 citations)
- Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study (688 citations)
- Antidepressant use and risk of adverse outcomes in older people: Population based cohort study (508 citations)
What are the main themes of his work throughout his whole career to date?
Internal medicine, Cohort study, Injury prevention, Occupational safety and health and Odds ratio are his primary areas of study.
His work in Internal medicine addresses issues such as Surgery, which are connected to fields such as Risk factor.
His biological study spans a wide range of topics, including Hip fracture, Osteoporosis and Epidemiology.
His Cohort study research integrates issues from Absolute risk reduction, Cohort, Proportional hazards model, Prospective cohort study and Risk assessment.
In his work, Physical therapy is strongly intertwined with Randomized controlled trial, which is a subfield of Occupational safety and health.
His Odds ratio research focuses on Confidence interval and how it relates to Body mass index.
He most often published in these fields:
- Internal medicine (29.20%)
- Cohort study (25.18%)
- Injury prevention (20.44%)
What were the highlights of his more recent work (between 2018-2021)?
- Cohort study (25.18%)
- Internal medicine (29.20%)
- Cohort (11.68%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cohort study, Internal medicine, Cohort, Anxiety and Public health.
His work carried out in the field of Cohort study brings together such families of science as Antidepressant, Algorithm, Medical prescription, Statistic and Pediatrics.
His work in Statistic covers topics such as Risk assessment which are related to areas like Body mass index.
His study in Proportional hazards model, Comorbidity, Dementia, Disease and Odds ratio falls under the purview of Internal medicine.
His research in Disease tackles topics such as Prospective cohort study which are related to areas like Epidemiology.
His work is dedicated to discovering how Odds ratio, Hormone replacement therapy are connected with Cancer registry and other disciplines.
Between 2018 and 2021, his most popular works were:
- Anticholinergic Drug Exposure and the Risk of Dementia: A Nested Case-Control Study. (140 citations)
- Use of hormone replacement therapy and risk of venous thromboembolism: nested case-control studies using the QResearch and CPRD databases (91 citations)
- Risk of severe COVID-19 disease with ACE inhibitors and angiotensin receptor blockers: cohort study including 8.3 million people. (87 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Disease
Carol Coupland mainly investigates Cohort study, Internal medicine, Cohort, Anxiety and Mood.
His Cohort study study combines topics in areas such as Body mass index, Down syndrome and Pediatrics.
His research in Epidemiology, Nested case-control study, Odds ratio, Observational study and Hormone replacement therapy are components of Internal medicine.
His work on Exposure Category as part of general Odds ratio study is frequently linked to Cumulative Exposure, therefore connecting diverse disciplines of science.
His Cohort research incorporates elements of Psychological intervention and Public health.
Carol Coupland has included themes like Diabetes mellitus, Prospective cohort study and ACE inhibitor in his Proportional hazards model study.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
