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Analysis of clustered interval-censored data using a class of semiparametric partly linear frailty transformation models

期刊: BIOMETRICS, 2022; 78 (1)

A flexible class of semiparametric partly linear frailty transformation models is considered for analyzing clustered interval-censored data, which ari......

JIF:2.561

Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19

期刊: BIOMETRICS, 2022; 78 (2)

Quarantine measure is a commonly used nonpharmaceutical intervention during the outbreak of infectious diseases. A key problem for implementing quaran......

JIF:2.561

Semiparametric estimation of the nonmixture cure model with auxiliary survival information

期刊: BIOMETRICS, 2022; 78 (2)

With rapidly increasing data sources, statistical methods that make use of external information are gradually becoming popular tools in medical resear......

JIF:2.561

Gaussian graphical model-based heterogeneity analysis via penalized fusion

期刊: BIOMETRICS, 2022; 78 (2)

Heterogeneity is a hallmark of cancer, diabetes, cardiovascular diseases, and many other complex diseases. This study has been partly motivated by the......

JIF:2.561

Information-incorporated Gaussian graphical model for gene expression data

期刊: BIOMETRICS, 2022; 78 (2)

In the analysis of gene expression data, network approaches take a system perspective and have played an irreplaceably important role. Gaussian graphi......

JIF:2.561

A kernel regression model for panel count data with nonparametric covariate functions

期刊: BIOMETRICS, 2022; 78 (2)

The local kernel pseudo-partial likelihood is employed for estimation in a panel count model with nonparametric covariate functions. An estimator of t......

JIF:2.561

Gaussian graphical model-based heterogeneity analysis via penalized fusion

期刊: BIOMETRICS, ; ()

Heterogeneity is a hallmark of cancer, diabetes, cardiovascular diseases, and many other complex diseases. This study has been partly motivated by the......

Pursuing sources of heterogeneity in modeling clustered population

期刊: BIOMETRICS, ; ()

Researchers often have to deal with heterogeneous population with mixed regression relationships, increasingly so in the era of data explosion. In suc......

Information-incorporated Gaussian graphical model for gene expression data

期刊: BIOMETRICS, ; ()

In the analysis of gene expression data, network approaches take a system perspective and have played an irreplaceably important role. Gaussian graphi......

A kernel regression model for panel count data with nonparametric covariate functions

期刊: BIOMETRICS, ; ()

The local kernel pseudo-partial likelihood is employed for estimation in a panel count model with nonparametric covariate functions. An estimator of t......

Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19

期刊: BIOMETRICS, ; ()

Quarantine measure is a commonly used nonpharmaceutical intervention during the outbreak of infectious diseases. A key problem for implementing quaran......

Simultaneous estimation of cluster number and feature sparsity in high-dimensional cluster analysis

期刊: BIOMETRICS, ; ()

Estimating the number of clusters (K) is a critical and often difficult task in cluster analysis. Many methods have been proposed to estimate K, inclu......

Semiparametric estimation of the nonmixture cure model with auxiliary survival information

期刊: BIOMETRICS, ; ()

With rapidly increasing data sources, statistical methods that make use of external information are gradually becoming popular tools in medical resear......

Constructing confidence intervals for selected parameters

期刊: BIOMETRICS, 2020; 76 (4)

In large-scale problems, it is common practice to select important parameters by a procedure such as the Benjamini and Hochberg procedure and construc......

Estimating individualized treatment rules with risk constraint

期刊: BIOMETRICS, 2020; 76 (4)

Individualized treatment rules (ITRs) recommend treatments based on patient-specific characteristics in order to maximize the expected clinical outcom......

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