Continuous Endpoint Analysis

Continuous Endpoint Analysis is a statistical methodology within benchmark dose analysis that specifically addresses endpoints measured on a continuous scale, distinguishing itself by modeling dose-response relationships to estimate benchmark doses and their confidence limits without requiring dichotomization of continuous outcomes.

32

Publications

2.3K

Citations

164

Authors

102

Institutions

Publications per year

2017–2026

9

Authors

164

  1. RM
    Roland Matsouaka

    Clinical Research Institute, United States

    2 publications · 48 citations

    2

    h-index

  2. RA
    Rebecca A. Betensky

    Harvard University, United States

    2 publications · 48 citations

    2

    h-index

  3. WF
    William F. Rosenberger

    University of Maryland, Baltimore County, United States

    2 publications · 106 citations

    2

    h-index

  4. NH
    N Heussen

    RWTH Aachen University, Germany

    2 publications · 106 citations

    2

    h-index

  5. RH
    R.-D Hilgers

    RWTH Aachen University, Germany

    2 publications · 106 citations

    2

    h-index

1–5 of 164

Venues

  1. Statistics in Medicine

    6 publications · 129 citations

    6

    h-index

  2. Statistical Methods in Medical Research

    4 publications · 157 citations

    4

    h-index

  3. Drug Information Journal

    DIA · 2 publications · 483 citations

    2

    h-index

  4. Archives of General Psychiatry

    2 publications · 325 citations

    2

    h-index

  5. Trials

    2 publications · 93 citations

    2

    h-index

1–5