The scientist’s investigation covers issues in Internal medicine, Proportional hazards model, Statistics, Surgery and Survival analysis. The Internal medicine study combines topics in areas such as Oncology and Cardiology. His Oncology research includes elements of Breast cancer, Mammary gland and Cyclophosphamide.
As part of one scientific family, he deals mainly with the area of Proportional hazards model, narrowing it down to issues related to the Covariate, and often Censoring. Martin Schumacher has included themes like Econometrics and Rank in his Statistics study. His study explores the link between Econometrics and topics such as Regression analysis that cross with problems in Artificial intelligence and Brier score.
Martin Schumacher mainly investigates Internal medicine, Surgery, Statistics, Oncology and Econometrics. His Internal medicine study frequently involves adjacent topics like Cardiology. Martin Schumacher regularly ties together related areas like Radiology in his Surgery studies.
His study in Covariate, Proportional hazards model, Estimator, Survival analysis and Regression analysis falls within the category of Statistics. His biological study spans a wide range of topics, including Event and Competing risks. His study in Breast cancer is interdisciplinary in nature, drawing from both Cyclophosphamide, Chemotherapy and Radiation therapy.
Statistics, Internal medicine, Proportional hazards model, Hazard ratio and Covariate are his primary areas of study. Statistics is closely attributed to Econometrics in his study. His Internal medicine research is multidisciplinary, relying on both Geriatric assessment, Oncology and Cardiology.
His research on Proportional hazards model concerns the broader Surgery. His Hazard ratio study incorporates themes from Disease and Intensive care, Intensive care medicine. His studies in Covariate integrate themes in fields like Regression, Regression analysis, Estimation, Intensive care unit and Data set.
His primary areas of study are Internal medicine, Statistics, Hazard ratio, Proportional hazards model and Surgery. As part of his studies on Internal medicine, he often connects relevant areas like Cardiology. In the field of Statistics, his study on Statistical hypothesis testing, Kaplan-Meier Estimate and Covariate overlaps with subjects such as Context.
His work is dedicated to discovering how Covariate, Nested case-control study are connected with Econometrics and other disciplines. The Hazard ratio study combines topics in areas such as Event, Observational study, Survival analysis and Intensive care medicine. His Proportional hazards model research includes themes of Multivariate analysis, Hematocrit, Randomized controlled trial, Cause of death and Regression analysis.
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.
Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.
Douglas G. Altman;Berthold Lausen;Willi Sauerbrei;Martin Schumacher.
Journal of the National Cancer Institute (1994)
Poly‐Lactic‐Acid for coating of endovascular stents: preliminary results in canine experimental av‐fistulae
F. Schellhammer;M. Schumacher;A. Berlis;H. G. Bloss.
Materialwissenschaft Und Werkstofftechnik (2001)
Assessment and comparison of prognostic classification schemes for survival data
Erika Graf;Claudia Schmoor;Willi Sauerbrei;Martin Schumacher.
Statistics in Medicine (1999)
Recombinant human erythropoiesis-stimulating agents and mortality in patients with cancer: a meta-analysis of randomised trials.
Julia Bohlius;Kurt Schmidlin;Corinne Brillant;Guido Schwarzer.
The Lancet (2009)
A European study of HLA-B in Stevens-Johnson syndrome and toxic epidermal necrolysis related to five high-risk drugs.
Christine Lonjou;Nicolas Borot;Peggy Sekula;Neil Ledger.
Pharmacogenetics and Genomics (2008)
Undue reliance on I(2) in assessing heterogeneity may mislead.
Gerta Rücker;Guido Schwarzer;James R Carpenter;James R Carpenter;Martin Schumacher.
BMC Medical Research Methodology (2008)
A bootstrap resampling procedure for model building: Application to the cox regression model
Willi Sauerbrei;Martin Schumacher.
Statistics in Medicine (1992)
A marker for Stevens-Johnson syndrome …: ethnicity matters
C Lonjou;L Thomas;N Borot;N Ledger.
Pharmacogenomics Journal (2006)
Maximally selected rank statistics
Berthold Lausen;Martin Schumacher.
Goserelin Versus Cyclophosphamide, Methotrexate, and Fluorouracil as Adjuvant Therapy in Premenopausal Patients With Node-Positive Breast Cancer: The Zoladex Early Breast Cancer Research Association Study
W Jonat;M Kaufmann;W Sauerbrei;R Blamey.
Journal of Clinical Oncology (2002)
Profile was last updated on December 6th, 2021.
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