Frank E. Harrell
Statistics and Probability · 2000–2020
A researcher in the Science corpus: 11 papers; trusts 11 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 69 citations into it; #3,310 of 12,932 by trust here, #1,004 by citations
- Artificial Intelligence — 24 citations into it
- Management Science and Operations Research — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Frank E. Harrell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric R. Ziegel
- Robert Tibshirani
- Ewout W. Steyerberg
- Trevor J. Hastie
- Bradley Efron
- Jerome H. Friedman
- Geoffrey E. Hinton
- Patrick Royston
- Anthony B. Atkinson
- Denise Draper
Who trusts Frank E. Harrell overall
- Antoine Guisan
- Ewout W. Steyerberg
- S. van Buuren
- Karel G. M. Moons
- Michael P. Austin
- Esteban Walker
- Ian R. White
- S. Dullinger
- T. Dirnböck
- F. Essl
Papers from Frank E. Harrell's perspective
Ordered by how strongly the researchers Frank E. Harrell trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- Bootstrap Methods: Another Look at the Jackknife
- Subset Selection in Regression
- Information Theory and an Extension of the Maximum Likelihood Principle
- Monographs on statistics and applied probability
- Relaxing the rule of ten events per variable in logistic and Cox regression. (American Journal of Epidemiology)
- The Nottingham prognostic index in primary breast cancer (Breast Cancer Research and Treatment)
- Connectionist Learning Procedures
- Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (BMC Medical Research Methodology)
- Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 (British medical journal)
Their papers
- Prognostic Modeling with Logistic Regression Analysis (2001) — 656 citations
- Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets. (2000) — 795 citations
- Calculating the sample size required for developing a clinical prediction model (2020) — 2,194 citations
- Criteria for Evaluation of Novel Markers of Cardiovascular Risk (2009) — 1,127 citations
- Dealing with missing outcome data in randomized trials and observational studies. (2012) — 391 citations
- Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes (2018) — 1,038 citations
- Initial Invasive or Conservative Strategy for Stable Coronary Disease (2020) — 1,855 citations
- Prediction models need appropriate internal, internal-external, and external validation (2015) — 1,037 citations
- General Aspects of Fitting Regression Models (2015) — 176 citations
- SPECIAL SERIES: ORIGINAL ARTICLES Using the outcome for imputation of missing predictor values was preferred (2006) — 1,001 citations
- Ordinal response regression models in ecology. (2000) — 194 citations