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Medicine

D-Index
124
Citations
86479
World Ranking
3152
National Ranking
1740

Overview

Frank E. Harrell is affiliated with Vanderbilt University in the United States. Their work spans various aspects of medicine, with a primary focus on the intersection of statistical methodology and clinical research.

The main field of study for Frank E. Harrell is Medicine. Within this broad domain, their research is divided into several subfields:

  • Statistics and Probability
  • Cardiology and Cardiovascular Medicine
  • Surgery
  • Radiology, Nuclear Medicine and Imaging
  • Economics and Econometrics

The key topics addressed in their research include:

  • Health Systems, Economic Evaluations, Quality of Life
  • Cardiac Imaging and Diagnostics
  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Coronary Interventions and Diagnostics
  • Statistical Methods and Bayesian Inference
  • Acute Myocardial Infarction Research

Frank E. Harrell has contributed to multiple frequent publication venues, reflecting the scope of their interdisciplinary research:

  • Journal of the American College of Cardiology
  • Circulation
  • Statistics in Medicine
  • JAMA Network Open
  • BMJ

Their recent published papers provide insight into the clinical and methodological focus areas with titles and publication details as follows:

  • "Initial Invasive or Conservative Strategy for Stable Coronary Disease," 2020, New England Journal of Medicine
  • "Calculating the sample size required for developing a clinical prediction model," 2020, BMJ
  • "Health-Status Outcomes with Invasive or Conservative Care in Coronary Disease," 2020, New England Journal of Medicine
  • "Effect of Hydroxychloroquine on Clinical Status at 14 Days in Hospitalized Patients With COVID-19," 2020, JAMA
  • "Evaluation of clinical prediction models (part 1): from development to external validation," 2024, BMJ

Collaboration is a significant aspect of Frank E. Harrell's research activities. Frequent co-authors include:

  • Christopher J. Lindsell
  • Todd W. Rice
  • Sunil Kripalani
  • Matthew W. Semler
  • Gordon R. Bernard

Best Publications

  • MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS

    Frank E. Harrell;Kerry L. Lee;Daniel B. Mark

  • Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit

    E. Wesley Ely;Ayumi Shintani;Brenda Truman;Theodore Speroff

  • Evaluating the yield of medical tests

    Frank E. Harrell;Robert M. Califf;David B. Pryor;Kerry L. Lee

  • The Effectiveness of Right Heart Catheterization in the Initial Care of Critically Ill Patients

    Alfred F. Connors;Theodore Speroff;Neal V. Dawson;Charles Thomas

  • Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

    Ewout W Steyerberg;Frank E Harrell;Gerard J.J.M Borsboom;M.J.C Eijkemans

  • Outcomes following acute exacerbation of severe chronic obstructive lung disease. The SUPPORT investigators (Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments)

    Alfred F. Connors;Neal V. Dawson;Charles Thomas;Frank E. Harrell

  • Regression modelling strategies for improved prognostic prediction.

    Frank E. Harrell;Kerry L. Lee;Robert M. Califf;David B. Pryor

  • The effectiveness of right heart catheterization in the initial care of critically ill patients. SUPPORT Investigators.

    Connors Af;Speroff T;Dawson Nv;Thomas C

  • Initial invasive or conservative strategy for stable coronary disease.

    David J. Maron;Judith S. Hochman;Harmony R. Reynolds;Sripal Bangalore

  • Recombinant human interleukin 1 receptor antagonist in the treatment of patients with sepsis syndrome. Results from a randomized, double-blind, placebo-controlled trial. Phase III rhIL-1ra Sepsis Syndrome Study Group.

    Fisher Cj;Dhainaut Jf;Opal Sm;Pribble Jp

  • Cardiac Troponin T Levels for Risk Stratification in Acute Myocardial Ischemia

    Ohman Em;Armstrong Pw;Christenson Rh;Granger Cb

  • Relationship Between Cancer Patients' Predictions of Prognosis and Their Treatment Preferences

    Jane Weeks;E. Francis Cook;Steven J. O'Day;Lynn M. Peterson

  • Calculating the sample size required for developing a clinical prediction model.

    Richard D Riley;Joie Ensor;Kym I E Snell;Frank E Harrell

  • Regression Models in Clinical Studies: Determining Relationships Between Predictors and Response

    Harrell Fe;Lee Kl;Pollock Bg

  • Criteria for Evaluation of Novel Markers of Cardiovascular Risk A Scientific Statement From the American Heart Association

    Mark A. Hlatky;Philip Greenland;Donna K. Arnett;Christie M. Ballantyne

  • Prognostic Value of a Treadmill Exercise Score in Outpatients with Suspected Coronary Artery Disease

    Daniel B. Mark;Linda Shaw;Frank E. Harrell;Mark A. Hlatky

  • Using the outcome for imputation of missing predictor values was preferred

    Karel G.M. Moons;Rogier A.R.T. Donders;Theo Stijnen;Frank E. Harrell

  • Prediction models need appropriate internal, internal-external, and external validation

    Ewout W. Steyerberg;Frank E. Harrell

  • Prognostic modelling with logistic regression analysis : a comparison of selection and estimation methods in small data sets

    Ewout W. Steyerberg;Marinus J.C. Eijkemans;Frank E. Harrell;J. Dik F. Habbema

  • A randomized controlled trial of epoprostenol therapy for severe congestive heart failure: The Flolan International Randomized Survival Trial (FIRST)

    Robert M. Califf;Kirkwood F. Adams;William J. McKenna;Mihai Gheorghiade

Frequent Co-Authors

Kerry L. Lee
Kerry L. Lee Duke University
Robert M. Califf
Robert M. Califf Duke University
Daniel B. Mark
Daniel B. Mark Duke University
Alfred F. Connors
Alfred F. Connors Case Western Reserve University
Mark A. Hlatky
Mark A. Hlatky Stanford University
Joanne Lynn
Joanne Lynn Altarum Institute
Russell S. Phillips
Russell S. Phillips Harvard University
Robert S. Dittus
Robert S. Dittus Vanderbilt University Medical Center
Joan M. Teno
Joan M. Teno Brown University
Karel G.M. Moons
Karel G.M. Moons Utrecht University

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