2023 - Research.com Medicine in Denmark Leader Award
Per Kragh Andersen focuses on Cohort study, Econometrics, Regression analysis, Internal medicine and Statistics. The various areas that Per Kragh Andersen examines in his Cohort study study include Pregnancy, Relative risk, Obstetrics, Cohort and Risk factor. His Econometrics research is multidisciplinary, incorporating perspectives in Competing risks, Markov chain, Survival data and Censoring.
His Regression analysis research includes themes of Survival function and Proportional hazards model. His Proportional hazards model research is multidisciplinary, relying on both Survival analysis and Cumulative incidence. His Internal medicine research integrates issues from Gastroenterology, Endocrinology, Surgery and Oncology.
Per Kragh Andersen mainly investigates Cohort study, Internal medicine, Statistics, Proportional hazards model and Pediatrics. His research in Cohort study intersects with topics in Pregnancy, Demography, Obstetrics, Cohort and Risk factor. The study incorporates disciplines such as Relative risk and Psychiatry in addition to Risk factor.
His work deals with themes such as Gastroenterology, Surgery and Oncology, which intersect with Internal medicine. His study on Statistics is mostly dedicated to connecting different topics, such as Econometrics. His Pediatrics study which covers Bipolar disorder that intersects with Lithium.
His primary areas of investigation include Cohort study, Pediatrics, Demography, Internal medicine and Hazard ratio. His Cohort study research includes elements of Pregnancy, Gestational age, Young adult, Public health and Cohort. Per Kragh Andersen has included themes like Gastroenterology and Bipolar disorder, Depression in his Internal medicine study.
His Hazard ratio research is multidisciplinary, incorporating elements of Proportional hazards model and Ascites. His Proportional hazards model research includes elements of Covariate, Censoring and Econometrics. His study explores the link between Statistics and topics such as Cumulative incidence that cross with problems in Survival analysis.
The scientist’s investigation covers issues in Cohort study, Psychiatry, Pediatrics, Bipolar disorder and Hazard ratio. His Cohort study research is multidisciplinary, incorporating perspectives in Young adult, Mortality rate, Demography, Public health and Cohort. He has researched Pediatrics in several fields, including Odds ratio, Pregnancy, Gestational age, Spastic and Dementia.
His work deals with themes such as Prospective cohort study, Severity of illness, Survival analysis and Comorbidity, which intersect with Bipolar disorder. Per Kragh Andersen has included themes like Regression analysis, Feature, Generalized linear model and Covariate in his Survival analysis study. The study incorporates disciplines such as Offspring, Proportional hazards model and Diabetes mellitus in addition to Hazard ratio.
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Statistical Models Based on Counting Processes
Per Kragh Andersen.
(1993)
Cox's Regression Model for Counting Processes: A Large Sample Study
Per Kragh Andersen;Richard D. Gill.
Annals of Statistics (1982)
Statistical Models Based on Counting Processes.
Frank Coolen;P. K. Andersen;O. Borgan;R. D. Gill.
The Statistician (1996)
Genetic and environmental influences on premature death in adult adoptees
Thorkild I.A. Sørensen;Gert G. Nielsen;Per Kragh Andersen;Thomas W. Teasdale.
The New England Journal of Medicine (1988)
Effects of family history and place and season of birth on the risk of schizophrenia.
Preben Bo Mortensen;Carsten Bøcker Pedersen;Tine Westergaard;Jan Wohlfahrt.
The New England Journal of Medicine (1999)
Capillary supply of the quadriceps femoris muscle of man: adaptive response to exercise.
Per Andersen;Jan Henriksson.
The Journal of Physiology (1977)
Competing risks in epidemiology: possibilities and pitfalls
Per Kragh Andersen;Ronald B Geskus;Theo de Witte;Hein Putter.
International Journal of Epidemiology (2012)
Physiological Basis of the Alpha Rhythm
Per Andersen;Sven A. Andersson.
(1968)
A counting process approach to maximum likelihood estimation in frailty models
G. G. Nielsen;R. D. Gill;P. K. Andersen;T. I. A. Sørensen.
Scandinavian Journal of Statistics (1992)
The effect of proteinuria on relative mortality in Type 1 (insulin-dependent) diabetes mellitus
K. Borch-Johnsen;P. K. Andersen;T. Deckert.
Diabetologia (1985)
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