Multistage Design

Multistage Design is a Bayesian experimental design strategy that iteratively refines decision-making through a sequence of stages, each informed by posterior updates from prior stages, thereby distinguishing itself from single-stage and sequential designs by its structured, phase-based adaptation to accumulating data.

233

Publications

15K

Citations

865

Authors

392

Institutions

Publications per year

2017–2026

46

Authors

865

  1. RC
    Raúl Caetano

    Alcohol Research Group, United States

    5 publications · 163 citations

    5

    h-index

  2. GT
    Geoffrey T. Fong

    University of Waterloo, Canada

    4 publications · 188 citations

    4

    h-index

  3. MS
    Mark Sh. Levin

    Institute for Information Transmission Problems, Russia

    3 publications · 51 citations

    3

    h-index

  4. JJ
    John J. Bolger

    Rolls-Royce (United Kingdom), United Kingdom

    3 publications · 277 citations

    3

    h-index

  5. PA
    Patrice A. C. Vaeth

    University of Texas Health Science Center at Dallas, United States

    3 publications · 88 citations

    3

    h-index

1–5 of 865

Venues

  1. PubMed

    Repository · 10 publications · 660 citations

    10

    h-index

  2. Technometrics

    6 publications · 174 citations

    6

    h-index

  3. AIChE Journal

    5 publications · 197 citations

    5

    h-index

  4. Statistics in Medicine

    4 publications · 230 citations

    4

    h-index

  5. Alcoholism Clinical and Experimental Research

    ACER · 3 publications · 169 citations

    3

    h-index

1–5