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Medicine

D-Index
141
Citations
90448
World Ranking
1601
National Ranking
934

Overview

Andrew J. Vickers is affiliated with Memorial Sloan Kettering Cancer Center in the United States. Their research contributions span across medicine with a strong focus on pulmonary and respiratory medicine, surgery, oncology, economics and econometrics, as well as public health, environmental and occupational health.

The scientist's work is primarily concentrated on key topics including prostate cancer diagnosis and treatment, prostate cancer treatment and research, bladder and urothelial cancer treatments, health systems, economic evaluations, and quality of life assessments. Additional research areas include statistical methods in clinical trials, urologic and reproductive health conditions, and meta-analysis and systematic reviews.

Frequent co-authors who have collaborated with Andrew J. Vickers include:

  • Amy L. Tin
  • Sigrid Carlsson
  • James A. Eastham
  • Melissa Assel
  • Daniel D. Sjoberg

Their research findings have been published extensively in notable scientific journals, with frequent contributions to the following venues:

  • The Journal of Urology
  • European Urology
  • British Journal of Urology
  • Journal of Clinical Oncology
  • Urology

Notable recent papers authored or co-authored include:

  • "Decision curve analysis to evaluate the clinical benefit of prediction models" (2021), published in The Spine Journal
  • "Limited versus Extended Pelvic Lymph Node Dissection for Prostate Cancer: A Randomized Clinical Trial" (2021), published in European Urology Oncology
  • "Screening for Prostate Cancer" (2020), published in Medical Clinics of North America
  • "Transperineal Versus Transrectal Magnetic Resonance Imaging-targeted and Systematic Prostate Biopsy to Prevent Infectious Complications: The PREVENT Randomized Trial" (2024), published in European Urology
  • "Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models" (2022), published in Annals of Internal Medicine

Best Publications

  • Assessing the performance of prediction models: a framework for traditional and novel measures.

    Ewout W. Steyerberg;Andrew J. Vickers;Nancy R. Cook;Thomas Gerds

  • Decision curve analysis: a novel method for evaluating prediction models.

    Andrew J. Vickers;Elena B. Elkin

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

    Karel G.M. Moons;Douglas G. Altman;Johannes B. Reitsma;John P.A. Ioannidis

  • Statistics notes: Analysing controlled trials with baseline and follow up measurements.

    Andrew J Vickers;Douglas G Altman

  • Chronic kidney disease after nephrectomy in patients with renal cortical tumours: a retrospective cohort study.

    William C Huang;Andrew S Levey;Angel M Serio;Mark Snyder

  • A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score.

    Jonathan I. Epstein;Michael J. Zelefsky;Daniel D. Sjoberg;Joel B. Nelson

  • Acupuncture for Chronic Pain: Individual Patient Data Meta-analysis

    Andrew J. Vickers;Angel M. Cronin;Alexandra C. Maschino;George Lewith

  • Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers

    Andrew J Vickers;Angel M Cronin;Elena B Elkin;Mithat Gonen

  • Prostate-specific antigen and prostate cancer: prediction, detection and monitoring

    Hans Lilja;David Ulmert;Andrew J Vickers

  • Calibration: the Achilles heel of predictive analytics

    Ben Van Calster;Ben Van Calster;David J. McLernon;Maarten van Smeden;Laure Wynants;Laure Wynants

  • Do Certain Countries Produce Only Positive Results? A Systematic Review of Controlled Trials

    Andrew Vickers;Niraj Goyal;Robert Harland;Rebecca Rees

  • Increasing value and reducing waste: addressing inaccessible research.

    An Wen Chan;Fujian Song;Andrew Vickers;Tom Jefferson

  • Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests.

    Andrew J Vickers;Ben Van Calster;Ben Van Calster;Ewout W Steyerberg

  • Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators.

    Ben Van Calster;Ben Van Calster;Laure Wynants;Jan F.M. Verbeek;Jan Y. Verbakel;Jan Y. Verbakel

  • Acupuncture for the prevention of tension‐type headache

    Klaus Linde;Gianni Allais;Benno Brinkhaus;Yutong Fei

  • A simple, step-by-step guide to interpreting decision curve analysis.

    Andrew J. Vickers;Ben van Calster;Ben van Calster;Ewout W. Steyerberg

  • Acupuncture for chronic pain: update of an individual patient data meta-analysis

    Andrew J Vickers;Emily A Vertosick;George Lewith;Hugh MacPherson

  • The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study

    Andrew J Vickers

  • Research: increasing value, reducing waste 4 Increasing value and reducing waste: addressing inaccessible research

    An-Wen Chan;Fujian Song;Andrew Vickers;Tom Jeff

  • Prostate-specific antigen and prostate cancer: Prediction, detection and monitoring (Corrigendum) (Nature Reviews Cancer (2008) 8, (268-278))

    H Lilja;D Ulmert;A J Vickers

Frequent Co-Authors

Hans Lilja
Hans Lilja Memorial Sloan Kettering Cancer Center
Peter T. Scardino
Peter T. Scardino Memorial Sloan Kettering Cancer Center
James A. Eastham
James A. Eastham Memorial Sloan Kettering Cancer Center
Caroline O. S. Savage
Caroline O. S. Savage Academy of Medical Sciences
Michael W. Kattan
Michael W. Kattan Cleveland Clinic
Anders Bjartell
Anders Bjartell Lund University
Klaus Linde
Klaus Linde Technical University of Munich
Bernard H. Bochner
Bernard H. Bochner Memorial Sloan Kettering Cancer Center
Guido Dalbagni
Guido Dalbagni Memorial Sloan Kettering Cancer Center
Eric A. Klein
Eric A. Klein Cleveland Clinic

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