Event Timing Analysis

Event Timing Analysis is a methodological framework within duration analysis that specifically models the timing and sequencing of discrete events by accounting for time-varying covariates and censoring mechanisms to estimate the probability and hazard of event occurrence over time.

69

Publications

4.1K

Citations

228

Authors

113

Institutions

Publications per year

2017–2026

14

Authors

228

  1. JC
    Jonathan Cannon

    Massachusetts Institute of Technology, United States

    3 publications · 152 citations

    3

    h-index

  2. RA
    Raj Acharya

    University at Buffalo, State University of New York, United States

    2 publications · 87 citations

    2

    h-index

  3. VD
    V. Demjanenko

    University at Buffalo, State University of New York, United States

    2 publications · 87 citations

    2

    h-index

  4. AS
    A. Soom

    University at Buffalo, State University of New York, United States

    2 publications · 87 citations

    2

    h-index

  5. KY
    Kazuo Yamaguchi

    University of Chicago, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 228

Venues

  1. Sociological Methodology

    3 publications · 128 citations

    3

    h-index

  2. PLoS Computational Biology

    2 publications · 131 citations

    2

    h-index

  3. IEEE Transactions on Power Delivery

    2 publications · 87 citations

    2

    h-index

  4. Annual Review of Sociology

    2 publications · 357 citations

    2

    h-index

  5. Journal of Experimental Psychology General

    2 publications · 558 citations

    2

    h-index

1–5