What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Statistics
Terry M. Therneau mostly deals with Internal medicine, Gastroenterology, Surgery, Pathology and Proportional hazards model.
His Internal medicine study frequently draws parallels with other fields, such as Monoclonal gammopathy of undetermined significance.
His research in Monoclonal gammopathy of undetermined significance focuses on subjects like Myeloma protein, which are connected to Malignancy.
His study in Gastroenterology is interdisciplinary in nature, drawing from both Liver transplantation and Transplantation.
His Surgery research integrates issues from Epidemiology and Incidence.
His Proportional hazards model research incorporates elements of Regression analysis and Econometrics.
His most cited work include:
- Modeling Survival Data: Extending the Cox Model (3918 citations)
- Proportional hazards tests and diagnostics based on weighted residuals (3607 citations)
- A model to predict survival in patients with end‐stage liver disease (3476 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Internal medicine, Gastroenterology, Surgery, Pathology and Liver transplantation.
Terry M. Therneau studied Internal medicine and Oncology that intersect with Cancer.
The various areas that Terry M. Therneau examines in his Gastroenterology study include Hepatocellular carcinoma and Survival analysis.
His work focuses on many connections between Hazard ratio and other disciplines, such as Proportional hazards model, that overlap with his field of interest in Retrospective cohort study.
His studies in Multiple myeloma integrate themes in fields like Monoclonal gammopathy of undetermined significance, Bone marrow and Immunopathology.
His Cohort study combines topics in areas such as Incidence, Cohort study and Risk factor.
He most often published in these fields:
- Internal medicine (51.47%)
- Gastroenterology (28.09%)
- Surgery (19.06%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (51.47%)
- Oncology (8.64%)
- Artificial intelligence (4.72%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Internal medicine, Oncology, Artificial intelligence, Dementia and Gastroenterology.
His study involves Hepatocellular carcinoma, Cohort study, Hazard ratio, Cohort and Proportional hazards model, a branch of Internal medicine.
In his research on the topic of Hepatocellular carcinoma, Severity of illness is strongly related with Liver transplantation.
His Cohort research is multidisciplinary, incorporating perspectives in Biomarker, Incidence and Risk factor.
As part of the same scientific family, he usually focuses on Oncology, concentrating on Cancer and intersecting with Lower risk.
Gastroenterology is closely attributed to Nonalcoholic fatty liver disease in his study.
Between 2017 and 2021, his most popular works were:
- Long-Term Follow-up of Monoclonal Gammopathy of Undetermined Significance. (156 citations)
- Longitudinal tau PET in ageing and Alzheimer's disease. (142 citations)
- Nonalcoholic fatty liver disease incidence and impact on metabolic burden and death: A 20 year-community study. (108 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Statistics
His main research concerns Internal medicine, Magnetic resonance imaging, Alzheimer's disease, Biomarker and Incidence.
His Internal medicine research includes themes of Gastroenterology, Monoclonal gammopathy of undetermined significance and Oncology.
His Gastroenterology study focuses on Liver disease in particular.
Terry M. Therneau has included themes like Liver biopsy, Logistic regression and Surgery in his Magnetic resonance imaging study.
His research integrates issues of Imaging biomarker and Biopsy in his study of Surgery.
His Incidence research is multidisciplinary, relying on both Amyloidosis, AL amyloidosis, Rochester Epidemiology Project and Risk factor.
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