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Bayesian discrete lognormal regression model for genomic prediction
Key messageGenomic prediction models for quantitative traits assume continuous and normally distributed phenotypes. In this research, we proposed a...
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Bayesian and Classical Prediction Models for Categorical and Count Data
In this chapter, we explain, under a Bayesian framework, the fundamentals and practical issues for implementing genomic prediction models for...
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On Bayesian modeling of censored data in JAGS
BackgroundJust Another Gibbs Sampling (JAGS) is a convenient tool to draw posterior samples using Markov Chain Monte Carlo for Bayesian modeling....
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BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data
BackgroundGenome-wide association studies (GWASes) aim to identify single nucleotide polymorphisms (SNPs) associated with a given phenotype. A common...
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Reproducing Kernel Hilbert Spaces Regression and Classification Methods
The fundamentals for Reproducing Kernel Hilbert Spaces (RKHS) regression methods are described in this chapter. We first point out the virtues of...
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Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia
BackgroundAcute myeloid leukemia (AML) is a heterogeneous cancer of the blood, though specific recurring cytogenetic abnormalities in AML are...
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Precision Medicine Designs for Cancer Clinical Trials
This chapter reviews Bayesian adaptive designs for precision oncology clinical trials. We focus on two aspects of precision medicine: how to more...
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A Gibbs sampler for multi-species occupancy models
Multi-species occupancy (MSO) models use detection-nondetection data from species observed at different locations to estimate the probability that a...
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Model Building
This introductory chapter is about fundamental ideas involved in model selection such as between a model-based or design-based approach, or a...
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Using visual scores for genomic prediction of complex traits in breeding programs
Key messageAn approach for handling visual scores with potential errors and subjectivity in scores was evaluated in simulated and blueberry recurrent...
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Investigation of the Association of Serum Trace Elements Concentrations and Serum Biochemical Parameters with the Risk of Polycystic Ovary Syndrome: a Case–Control Study
Polycystic ovary syndrome (PCOS) is a heterogeneous endocrinological syndrome characterized by hyperandrogenism of ovarian origin and is often...
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Viral nervous necrosis resistance in gilthead sea bream (Sparus aurata) at the larval stage: heritability and accuracy of genomic prediction with different training and testing settings
BackgroundThe gilthead sea bream ( Sparus aurata ) has long been considered resistant to viral nervous necrosis (VNN), until recently, when...
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Dichotomous Regressions Other than Logistic and Cox
Logistic and Cox regressions can model data with binary outcomes. The current chapter reviews 5 additional models for the purpose. Binary Poisson and...
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Generalized Linear Models
In the generalized linear model (GLM) (which is not highly general) y = Xβ + ϵ, the response variables are normally distributed, with constant...
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Species Methods
This chapter is essentially a follow-on from the previous chapter, but with an additional level of complexity. One can simply add an additional...
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Associations Between Individual and Combined Metal Exposures in Whole Blood and Kidney Function in U.S. Adults Aged 40 Years and Older
The effects of metal exposure on kidney function have been reported in previous literature. There is limited and inconsistent information on the...
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Integrated modelling of the determinants of household food insecurity during the 2020–2021 COVID-19 lockdown in Uganda
BackgroundThe determinants of household food insecurity (HFI) do not act in isolation, and are known to be complex, stochastic, nonlinear, and...
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Welfare benefits associated with access to agricultural extension services in Nigeria
Improving the agricultural productivity and welfare of rural farming households is important for many governments, especially in low- and...
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Two simple methods to improve the accuracy of the genomic selection methodology
BackgroundGenomic selection (GS) is revolutionizing plant and animal breeding. However, still its practical implementation is challenging since it is...
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Individual risk attitudes arise from noise in neurocognitive magnitude representations
Humans are generally risk averse, preferring smaller certain over larger uncertain outcomes. Economic theories usually explain this by assuming...
