What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Internal medicine
His primary scientific interests are in Statistics, Meta-analysis, Randomized controlled trial, Clinical trial and Multivariate statistics.
His research is interdisciplinary, bridging the disciplines of Econometrics and Statistics.
His work carried out in the field of Clinical trial brings together such families of science as Quality, Meta-Analysis as Topic and MEDLINE.
His work in Quality addresses issues such as Study Characteristics, which are connected to fields such as Medical education.
While the research belongs to areas of Multivariate statistics, Ingram Olkin spends his time largely on the problem of Chebyshev filter, intersecting his research to questions surrounding Applied mathematics.
His Observational study research is multidisciplinary, relying on both Educational research, Epidemiology and Knowledge acquisition.
His most cited work include:
- Meta-analysis of observational studies in epidemiology - A proposal for reporting (13239 citations)
- Statistical Methods for Meta-Analysis (9454 citations)
- Inequalities: Theory of Majorization and Its Applications (5164 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Statistics, Table, Applied mathematics, Combinatorics and Meta-analysis.
The study of Statistics is intertwined with the study of Econometrics in a number of ways.
His Table study combines topics in areas such as Surgery, Off-label use, Intensive care medicine, Emergency medicine and General surgery.
Cardiac surgery is the focus of his Surgery research.
He most often published in these fields:
- Statistics (30.27%)
- Table (11.66%)
- Applied mathematics (10.99%)
What were the highlights of his more recent work (between 2007-2019)?
- Table (11.66%)
- Surgery (7.40%)
- Statistics (30.27%)
In recent papers he was focusing on the following fields of study:
Ingram Olkin mainly investigates Table, Surgery, Statistics, Emergency medicine and Appendix.
The concepts of his Table study are interwoven with issues in Liver transplantation, Off-label use, Strength of evidence, Intensive care medicine and General surgery.
His research integrates issues of Anesthesia and Lung cancer in his study of Surgery.
His research on Statistics often connects related areas such as Econometrics.
His research in Econometrics intersects with topics in Meta-analysis and Absolute risk reduction.
His Emergency medicine study integrates concerns from other disciplines, such as Randomized controlled trial and Pediatrics.
Between 2007 and 2019, his most popular works were:
- Inequalities: Theory of Majorization and Its Applications (5164 citations)
- Are Organic Foods Safer or Healthier Than Conventional Alternatives?: A Systematic Review (347 citations)
- Systematic Review: Benefits and Harms of In-Hospital Use of Recombinant Factor VIIa for Off-Label Indications (192 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Internal medicine
Ingram Olkin spends much of his time researching Statistics, Meta-analysis, Econometrics, Internal medicine and Majorization.
Many of his studies on Statistics apply to Distribution as well.
His study in Meta-analysis is interdisciplinary in nature, drawing from both Absolute risk reduction, Disease, Bayesian probability, Myocardial infarction and Pharmacology.
As part of one scientific family, he deals mainly with the area of Econometrics, narrowing it down to issues related to the Event, and often Multinomial distribution, Rare events, Measure, Metric and Sample size determination.
His Majorization research includes themes of Inequality, Doubly stochastic matrix and Pure mathematics.
He combines subjects such as Discrete mathematics and Stochastic ordering with his study of Doubly stochastic matrix.
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