BhGLM statistics

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BhGLM specifications


Unique identifier OMICS_10166
Name BhGLM
Alternative name Bayesian hierarchical generalized linear models and survival models
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.1.0
Stability Stable
Maintained Yes



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  • person_outline Nengjun Yi <>
  • person_outline Xinyan Zhang <>

Additional information

Publications for Bayesian hierarchical generalized linear models and survival models

BhGLM in publications

PMCID: 5946496
PMID: 29747599
DOI: 10.1186/s12885-018-4483-6

[…] ordinal model by finding the posterior mode of the parameters (β, c), i.e., estimating the parameters by maximizing the posterior density., our algorithm has been implemented in our r package bhglm, which is freely available from the website and the public github repository that includes r codes for examples., after fitting […]

PMCID: 5879107
PMID: 29632519
DOI: 10.3389/fmicb.2018.00522

[…] methods, the nbmm performs separate analyses of otus. an iterative weighted least squares algorithm is developed to produce the mles under the nbmm and implemented in a r function glmm in r package bhglm., we applied the proposed statistical method to ocean microbiome data. seawater samples were collected weekly at the end of santa cruz municipal wharf (scw), monterey bay (36.958 on, −122.017 […]

PMCID: 5675633
PMID: 29152081
DOI: 10.18632/oncotarget.19823

[…] a log- rank test was used to assess patients’ survival using the r packages “survival”[]. the univariate and multivariable cox proportional hazards regression were performed using the r packages “bhglm”[]. heatmaps were generated with z-score normalization with each column using r packages “gplots”[]. all analyses were performed using r software (version 3.2.2). a statistically significant […]

PMCID: 5209949
PMID: 28049409
DOI: 10.1186/s12859-016-1441-7

[…] method has desirable properties and outperform the previously used methods in terms of both empirical power and type i error. the method has been incorporated into the freely available r package bhglm ( and, providing a useful tool for analyzing microbiome data., the advent of next-generation sequencing (ngs) technology enables […]

PMCID: 3906158
PMID: 24489897
DOI: 10.1371/journal.pone.0087330

[…] our previous studies demonstrated that eblasso outperformed several other multiple qtl mapping methods including the empirical bayes method , the bayesian hierarchical generalized linear models (bhglm) , hyperlasso , and lasso . detailed description of the eblasso algorithm can be found in , and an efficient c program with the r interface implementing the eblasso algorithm is available., […]

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BhGLM institution(s)
Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China; Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
BhGLM funding source(s)
Supported by NIH R01GM069430, R01CA216108, and the National Natural Science Foundation of China (81773541, 81573253).

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