Lognormal Regression

Lognormal Regression is a statistical modeling approach within the class of generalized linear models that distinguishes itself by assuming the response variable follows a lognormal distribution, thereby enabling the estimation of multiplicative effects on the logarithm of the outcome.

204

Publications

16.2K

Citations

512

Authors

251

Institutions

Publications per year

2017–2026

28

Authors

512

  1. RP
    Réjean Plamondon

    Polytechnique Montréal, Canada

    4 publications · 87 citations

    4

    h-index

  2. EM
    Edwin M. M. Ortega

    Universidade de São Paulo, Brazil

    4 publications · 246 citations

    4

    h-index

  3. TA
    Takeshi Amemiya

    Stanford University, United States

    3 publications · 155 citations

    3

    h-index

  4. KP
    Kok‐Kwang Phoon

    National University of Singapore, Singapore

    3 publications · 101 citations

    3

    h-index

  5. CT
    Chong Tang

    National University of Singapore, Singapore

    3 publications · 101 citations

    3

    h-index

1–5 of 512

Venues

  1. Technometrics

    6 publications · 321 citations

    6

    h-index

  2. PubMed

    Repository · 5 publications · 193 citations

    5

    h-index

  3. Mathematical Geology

    6 publications · 431 citations

    5

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 4 publications · 199 citations

    4

    h-index

  5. 3

    h-index

1–5