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D-Index & Metrics

Mathematics

D-Index
55
Citations
27880
World Ranking
763
National Ranking
14

Research.com Recognitions

  • 2015 - Fellow of the American Statistical Association (ASA)

Overview

Frank Bretz is affiliated with Novartis in Switzerland and has a significant body of research primarily focused on statistical methods applied to clinical trials and related areas. The main field of study encompasses Mathematics, with a specific emphasis on Statistics and Probability. Bretz's work spans related subfields such as Economics and Econometrics, Management Science and Operations Research, and Oncology.

The scientist's research covers core topics including statistical methods in clinical trials, statistical inference techniques, health systems and economic evaluations, causal inference techniques, optimal experimental design, and Bayesian inference models. These areas reflect a comprehensive engagement with both theoretical statistics and practical applications in biopharmaceutical and clinical research contexts.

Recent publications include:

  • "Machine learning for clinical trials in the era of COVID-19" (2020), published in Statistics in Biopharmaceutical Research
  • "Challenges in Assessing the Impact of the COVID-19 Pandemic on the Integrity and Interpretability of Clinical Trials" (2020), published in Statistics in Biopharmaceutical Research
  • "Some uses of predictive probability of success in clinical drug development" (2022), published in Epidemiology Biostatistics and Public Health
  • "Reference range: Which statistical intervals to use?" (2020), published in Statistical Methods in Medical Research
  • "Commentary on Parker and Weir" (2020), published in Clinical Trials

Frequent coauthors collaborating with Frank Bretz include:

  • Wei Liu
  • Kelly Van Lancker
  • Martin Posch
  • Emmanuel Zuber
  • Sergey Tarima

The most common publication venues are:

  • Statistics in Biopharmaceutical Research
  • Statistics in Medicine
  • arXiv (Cornell University)
  • Biometrical Journal
  • Clinical Trials

Frank Bretz's work is recognized within the statistical community by election as a Fellow of the American Statistical Association (ASA) in 2015. This distinction acknowledges contributions to the advancement of statistical science.

Best Publications

  • Simultaneous inference in general parametric models.

    Torsten Hothorn;Frank Bretz;Peter Westfall

  • Multiple Comparisons Using R

    Frank Bretz;Torsten Hothorn;Peter H. Westfall

  • Computation of Multivariate Normal and t Probabilities

    Alan Genz;Frank Bretz

  • Multivariate Normal and t Distributions

    Alan Genz;Frank Bretz;Tetsuhisa Miwa;Xuefei Mi

  • A graphical approach to sequentially rejective multiple test procedures

    Frank Bretz;Willi Maurer;Werner Brannath;Martin Posch

  • Combining multiple comparisons and modeling techniques in dose-response studies.

    F. Bretz;J. C. Pinheiro;M. Branson

  • Package multcomp: Simultaneous Inference in General Parametric Models

    T Hothorn;F Bretz;Peter Westfall

  • Comparison of Methods for the Computation of Multivariate t Probabilities

    Alan Genz;Frank Bretz

  • Multiple Testing Problems in Pharmaceutical Statistics

    Alex Dmitrienko;Ajit C. Tamhane;Frank Bretz;Frank Bretz

  • Confirmatory Seamless Phase II/III Clinical Trials with Hypotheses Selection at Interim: General Concepts

    Frank Bretz;Heinz Schmidli;Franz König;Amy Racine

  • Adaptive designs for confirmatory clinical trials.

    Frank Bretz;Franz Koenig;Werner Brannath;Ekkehard Glimm

  • Model‐based dose finding under model uncertainty using general parametric models

    José Pinheiro;Björn Bornkamp;Ekkehard Glimm;Frank Bretz

  • Twenty-five years of confirmatory adaptive designs: opportunities and pitfalls

    Peter Bauer;Frank Bretz;Frank Bretz;Vladimir Dragalin;Franz König

  • Confirmatory adaptive designs with Bayesian decision tools for a targeted therapy in oncology.

    Werner Brannath;Emmanuel Zuber;Michael Branson;Frank Bretz;Frank Bretz

  • Innovative approaches for designing and analyzing adaptive dose-ranging trials.

    Björn Bornkamp;Frank Bretz;Alex Dmitrienko;Greg Enas

  • Numerical computation of multivariate t-probabilities with application to power calculation of multiple contrasts

    Alan Genz;Frank Bretz

  • Graphical approaches for multiple comparison procedures using weighted Bonferroni, Simes, or parametric tests

    Frank Bretz;Martin Posch;Ekkehard Glimm;Florian Klinglmueller

  • Optimal Designs for Dose-Finding Studies

    Holger Dette;Frank Bretz;Andrey Pepelyshev;José Pinheiro

  • Compatible simultaneous lower confidence bounds for the Holm procedure and other Bonferroni-based closed tests.

    Klaus Strassburger;Frank Bretz

  • Assessment of optimal selected prognostic factors

    Berthold Lausen;Torsten Hothorn;Frank Bretz;Martin Schumacher

Frequent Co-Authors

Holger Dette
Holger Dette Ruhr University Bochum
Peter H. Westfall
Peter H. Westfall Texas Tech University
Ajit C. Tamhane
Ajit C. Tamhane Northwestern University
Gary G. Koch
Gary G. Koch University of North Carolina at Chapel Hill
Thomas J. Vogl
Thomas J. Vogl Goethe University Frankfurt
Hans-Georg Eichler
Hans-Georg Eichler European Medicines Agency
Stefan Schreiber
Stefan Schreiber Kiel University
Hubert G. M. Leufkens
Hubert G. M. Leufkens Utrecht University
Jeffrey R. Brown
Jeffrey R. Brown University of Illinois at Urbana-Champaign
Hans Lehrach
Hans Lehrach Max Planck Society

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