A review on recent advances and applications of h-likelihood method

Woojoo Lee; Il Do Ha; Maengseok Noh; Donghwan Lee; Youngjo Lee

doi:10.1007/s42952-021-00130-8

A review on recent advances and applications of h-likelihood method

Woojoo Lee, Il Do Ha, Maengseok Noh, Donghwan Lee, Youngjo Lee

Department of Statistics

Research output: Contribution to journal › Review article › peer-review

2 Scopus citations

Abstract

Having spent almost 30 years since Lee and Nelder introduced the h-likelihood at the discussion meeting held in Royal Statistical Society in 1994, Lee and his colleagues and students have studied how to define the h-likelihood for complex statistical models and conduct inference about unobservables and fixed unknown parameters in them. In this paper we review several important research areas with a focus on how the h-likelihood method has been applied. This review covers areas including analysis of clustered survival data, competing risk models with frailty, joint models for longitudinal and survival outcomes, sparse high-dimensional multivariate analysis, spatial analysis and multiple testing.

Original language	English
Pages (from-to)	681-702
Number of pages	22
Journal	Journal of the Korean Statistical Society
Volume	50
Issue number	3
DOIs	https://doi.org/10.1007/s42952-021-00130-8
State	Published - Sep 2021

Bibliographical note

Funding Information:
Woojoo Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A2C1014409). Youngjo Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2019R1A2C1002408). Donghwan Lee was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1A2C1012865).

Publisher Copyright:
© 2021, Korean Statistical Society.

Keywords

Adjusted profile h-likelihood
H-likelihood
Hierarchical generalized linear model
Unobservable

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10.1007/s42952-021-00130-8

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title = "A review on recent advances and applications of h-likelihood method",

abstract = "Having spent almost 30 years since Lee and Nelder introduced the h-likelihood at the discussion meeting held in Royal Statistical Society in 1994, Lee and his colleagues and students have studied how to define the h-likelihood for complex statistical models and conduct inference about unobservables and fixed unknown parameters in them. In this paper we review several important research areas with a focus on how the h-likelihood method has been applied. This review covers areas including analysis of clustered survival data, competing risk models with frailty, joint models for longitudinal and survival outcomes, sparse high-dimensional multivariate analysis, spatial analysis and multiple testing.",

keywords = "Adjusted profile h-likelihood, H-likelihood, Hierarchical generalized linear model, Unobservable",

author = "Woojoo Lee and {Do Ha}, Il and Maengseok Noh and Donghwan Lee and Youngjo Lee",

note = "Funding Information: Woojoo Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A2C1014409). Youngjo Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2019R1A2C1002408). Donghwan Lee was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1A2C1012865). Publisher Copyright: {\textcopyright} 2021, Korean Statistical Society.",

year = "2021",

month = sep,

doi = "10.1007/s42952-021-00130-8",

language = "English",

volume = "50",

pages = "681--702",

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AU - Lee, Youngjo

N1 - Funding Information: Woojoo Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A2C1014409). Youngjo Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2019R1A2C1002408). Donghwan Lee was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1A2C1012865). Publisher Copyright: © 2021, Korean Statistical Society.

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AB - Having spent almost 30 years since Lee and Nelder introduced the h-likelihood at the discussion meeting held in Royal Statistical Society in 1994, Lee and his colleagues and students have studied how to define the h-likelihood for complex statistical models and conduct inference about unobservables and fixed unknown parameters in them. In this paper we review several important research areas with a focus on how the h-likelihood method has been applied. This review covers areas including analysis of clustered survival data, competing risk models with frailty, joint models for longitudinal and survival outcomes, sparse high-dimensional multivariate analysis, spatial analysis and multiple testing.

KW - Adjusted profile h-likelihood

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JO - Journal of the Korean Statistical Society

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A review on recent advances and applications of h-likelihood method

Abstract

Bibliographical note

Keywords

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