H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mathematics H-index 99 Citations 47,664 242 World Ranking 16 National Ranking 11

Research.com Recognitions

Awards & Achievements

1998 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Internal medicine
  • Cancer

Sander Greenland spends much of his time researching Statistics, Confounding, Econometrics, Confidence interval and Odds ratio. Statistics is a component of his Covariate, Logistic regression, Estimator, Regression and Regression analysis studies. His Confounding study also includes fields such as

  • Causation which connect with Causality,
  • Selection that intertwine with fields like Feature selection.

His studies in Econometrics integrate themes in fields like Inference and Bayesian probability, Bayes' theorem. The Confidence interval study combines topics in areas such as Sample size determination, Meta-analysis, Mean squared error, Point estimation and Monte Carlo method. Surgery is closely connected to Case-control study in his research, which is encompassed under the umbrella topic of Odds ratio.

His most cited work include:

  • Causal diagrams for epidemiologic research. (2342 citations)
  • Modeling and variable selection in epidemiologic analysis. (1765 citations)
  • THE IMPACT OF CONFOUNDER SELECTION CRITERIA ON EFFECT ESTIMATION (1758 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Statistics, Econometrics, Confounding, Confidence interval and Internal medicine. His study in Estimator, Odds ratio, Logistic regression, Bayesian probability and Covariate is carried out as part of his Statistics studies. His Econometrics research incorporates themes from Regression analysis and Observational study.

A large part of his Confounding studies is devoted to Confounding Factors. His research in Confidence interval is mostly focused on Relative risk. His Internal medicine research is multidisciplinary, relying on both Gastroenterology and Oncology.

He most often published in these fields:

  • Statistics (32.94%)
  • Econometrics (23.27%)
  • Confounding (16.37%)

What were the highlights of his more recent work (between 2013-2021)?

  • Statistics (32.94%)
  • Econometrics (23.27%)
  • Confidence interval (12.43%)

In recent papers he was focusing on the following fields of study:

Sander Greenland mainly investigates Statistics, Econometrics, Confidence interval, Statistical hypothesis testing and Confounding. His multidisciplinary approach integrates Statistics and Sensitivity in his work. His Econometrics research is multidisciplinary, incorporating elements of Uncertainty analysis, Prior probability, Bayesian probability and Identification.

Sander Greenland interconnects Null hypothesis, Alternative hypothesis, Dosing and Statistical power in the investigation of issues within Confidence interval. His study in Statistical hypothesis testing is interdisciplinary in nature, drawing from both Statistical inference, Inference, Interpretation and Scientific communication. Sander Greenland has researched Confounding in several fields, including Treatment outcome, Outcome, Regression, Causal inference and Measure.

Between 2013 and 2021, his most popular works were:

  • Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations (876 citations)
  • Scientists rise up against statistical significance (863 citations)
  • Increasing value and reducing waste in research design, conduct, and analysis (815 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Internal medicine
  • Cancer

His main research concerns Statistics, Inference, Confounding, Econometrics and Covariate. His Inference research focuses on subjects like p-value, which are linked to Interpretation, Statistical power and Confidence interval. His Confounding research focuses on Odds ratio and how it connects with Protocol and Matching.

His studies in Econometrics integrate themes in fields like Logistic regression, Prior probability, Bayesian probability, Representation and Graphical model. The Prior probability study which covers Regression analysis that intersects with Sample size determination. His research investigates the connection between Covariate and topics such as Artificial intelligence that intersect with problems in Causal inference and Outcome.

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.

Top Publications

Causal diagrams for epidemiologic research.

Sander Greenland;Judea Pearl;James M. Robins.
Epidemiology (1999)

2735 Citations

Modern Epidemiology 3rd edition

Kenneth J. Rothman DrPH;Timothy L. Lash;Sander Greenland;Kenneth J. Rothman.
(2008)

2555 Citations

Modeling and variable selection in epidemiologic analysis.

S Greenland.
American Journal of Public Health (1989)

2275 Citations

THE IMPACT OF CONFOUNDER SELECTION CRITERIA ON EFFECT ESTIMATION

Ruth M. Mickey;Sander Greenland.
American Journal of Epidemiology (1989)

2089 Citations

Simulation Study of Confounder-Selection Strategies

George Maldonado;Sander Greenland.
American Journal of Epidemiology (1993)

2037 Citations

Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis

Sander Greenland;Matthew P. Longnecker.
American Journal of Epidemiology (1992)

1727 Citations

QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE

Sander Greenland.
Epidemiologic Reviews (1987)

1625 Citations

Identifiability and exchangeability for direct and indirect effects.

James M. Robins;Sander Greenland.
Epidemiology (1992)

1413 Citations

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

Sander Greenland;Stephen J. Senn;Kenneth J. Rothman;John B. Carlin.
European Journal of Epidemiology (2016)

1105 Citations

Increasing Value and Reducing Waste in Research Design, Conduct, and Analysis

John P A Ioannidis;Sander Greenland;Mark A Hlatky;Muin J Khoury.
The Lancet (2014)

1047 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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