Continuation-ratio Models

Continuation-Ratio Models is a type of ordinal regression model that characterizes the probability of transitioning from one ordered category to the next higher category, distinguishing itself from other ordinal models by modeling the conditional odds of continuing to a higher category given attainment of the current category.

62

Publications

4K

Citations

174

Authors

121

Institutions

Publications per year

2017–2026

6

Variants

Continuation-ratio Model

Authors

174

  1. SJ
    Sumithra J. Mandrekar

    Mayo Clinic, United States

    3 publications · 302 citations

    3

    h-index

  2. DJ
    Daniel J. Sargent

    Mayo Clinic, United States

    3 publications · 302 citations

    3

    h-index

  3. MW
    Morten Wang Fagerland

    Oslo University Hospital, Norway

    3 publications · 206 citations

    3

    h-index

  4. DW
    David W. Hosmer

    University of Massachusetts Amherst, United States

    2 publications · 175 citations

    2

    h-index

  5. SM
    Stéphanie Manel

    Centre National de la Recherche Scientifique, France

    2 publications · 35 citations

    2

    h-index

1–5 of 174

Venues

  1. Statistics in Medicine

    11 publications · 718 citations

    11

    h-index

  2. Biometrics

    4 publications · 331 citations

    4

    h-index

  3. 2

    h-index

  4. 2

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  5. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 114 citations

    2

    h-index

1–5