Interval Regression

Interval Regression is a statistical model for limited dependent variables in which the outcome variable is observed within fixed intervals rather than as precise values, distinguishing it from other regression models by accommodating censored or grouped continuous data.

174

Publications

16.6K

Citations

570

Authors

334

Institutions

Publications per year

2017–2026

52

Variants

Interval-censored Regression

Authors

570

  1. FD
    Francisco de A.T. de Carvalho

    Universidade Federal de Pernambuco, Brazil

    7 publications · 670 citations

    7

    h-index

  2. HT
    Hideo Tanaka

    Okayama University, Japan

    6 publications · 523 citations

    6

    h-index

  3. ED
    Eufrásio de Andrade Lima Neto

    Universidade Federal da Paraíba, Brazil

    5 publications · 576 citations

    5

    h-index

  4. AC
    Ana Colubi

    Universidad de Oviedo, Spain

    4 publications · 120 citations

    4

    h-index

  5. CC
    Chen‐Chia Chuang

    National Ilan University, Taiwan

    4 publications · 255 citations

    4

    h-index

1–5 of 570

Venues

  1. Information Sciences

    9 publications · 344 citations

    9

    h-index

  2. Fuzzy Sets and Systems

    8 publications · 737 citations

    8

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 5 publications · 557 citations

    5

    h-index

  4. 4

    h-index

  5. Health Economics

    4 publications · 665 citations

    4

    h-index

1–5