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pro vyhledávání: '"Li-Chu Chien"'
Autor:
Li-Chu Chien
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0233847 (2020)
In the area of genetic epidemiology, studies of the genotype-phenotype associations have made significant contributions to human complicated trait genetics. These studies depend on specialized statistical methods for uncover the association between t
Externí odkaz:
https://doaj.org/article/bb8e9151c3f24cd0884096635d44a4e8
Autor:
Li-Chu Chien, 簡莉珠
93
In this article, robust regression parameter inference in the setting of generalized linear models (GLMs) will be proposed. A parametric robust regression methodology that is robust to violations of the distributional assumptions is able to t
In this article, robust regression parameter inference in the setting of generalized linear models (GLMs) will be proposed. A parametric robust regression methodology that is robust to violations of the distributional assumptions is able to t
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/56125363488370367814
Publikováno v:
Communications in Statistics - Theory and Methods. 52:2417-2433
Mortality data play an important role on the fields such as health, epidemiology and national planning. Most mortality models mainly focus on providing a perfect fitting, to the detriment of an exact forecasting result. In this paper, we fit the Bern
Publikováno v:
Pharmaceutical statisticsREFERENCES.
We propose a model selection criterion for correlated survival data when the cluster size is informative to the outcome. This approach, called Resampling Cluster Survival Information Criterion (RCSIC), uses the Cox proportional hazards model that is
Autor:
Li-Chu Chien
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
In genetic association analysis, several relevant phenotypes or multivariate traits with different types of components are usually collected to study complex or multifactorial diseases. Over the past few years, jointly testing for association between
Autor:
Li-Chu Chien, Yen-Feng Chiu
Publikováno v:
Genetic Epidemiology. 42:621-635
Here, we describe a retrospective mega-analysis framework for gene- or region-based multimarker rare variant association tests. Our proposed mega-analysis association tests allow investigators to combine longitudinal and cross-sectional family- and/o
Publikováno v:
Genetic Epidemiology. 41:511-522
Family-based designs enriched with affected subjects and disease associated variants can increase statistical power for identifying functional rare variants. However, few rare variant analysis approaches are available for time-to-event traits in fami
Publikováno v:
Genetic Epidemiology. 40:101-112
Given the functional relevance of many rare variants, their identification is frequently critical for dissecting disease etiology. Functional variants are likely to be aggregated in family studies enriched with affected members, and this aggregation
Interval-censored survival data arise often in medical applications and clinical trials [Wang L, Sun J, Tong X. Regression analyis of case II interval-censored failure time data with the additive hazards model. Statistica Sinica. 2010;20:1709–1723]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ce6405dfec732e610ac15a944cfff4c
Autor:
Li-Chu Chien
Combining p-values from statistical tests across different studies is the most commonly used approach in meta-analysis for evolutionary biology. The most commonly used p-value combination methods mainly incorporate the z-transform tests (e.g., the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::488ff690d9dfacf163da1e5a8e2c27ee