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Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

Biometrics, 2024-01, Vol.80 (1)

2024

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Rejoinder to the discussion on "The central role of the identifying assumption in population size estimation"

Biometrics, 2024-01, Vol.80 (1)

2024

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A systematic evaluation of the influence of macrophage phenotype descriptions on inflammatory dynamics

Mathematical medicine and biology, 2024-04

2024

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Behavioral carry-over effect and power consideration in crossover trials

Biometrics, 2024-03, Vol.80 (2)

2024

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Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors

Biometrics, 2024-03, Vol.80 (2)

2024

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Conditional modeling of panel count data with partly interval-censored failure event

Biometrics, 2024-01, Vol.80 (1)

2024

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Comparing two spatial variables with the probability of agreement

Biometrics, 2024-01, Vol.80 (1)

2024

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Merging or ensembling: integrative analysis in multiple neuroimaging studies

Biometrics, 2024-01, Vol.80 (1)

2024

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Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

Biometrics, 2024-01, Vol.80 (1)

2024

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Asymptotic uncertainty of false discovery proportion

Biometrics, 2024-01, Vol.80 (1)

2024

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Diagnostics for regression models with semicontinuous outcomes

Biometrics, 2024-01, Vol.80 (1)

Yang, Lu

2024

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Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data

Biometrics, 2024-01, Vol.80 (1)

2024

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Addressing age measurement errors in fish growth estimation from length-stratified samples

Biometrics, 2024-03, Vol.80 (2)

2024

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Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components

Biometrics, 2024-03, Vol.80 (2)

2024

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Deep partially linear cox model for current status data

Biometrics, 2024-03, Vol.80 (2)

2024

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High-dimensional covariate-augmented overdispersed poisson factor model

Biometrics, 2024-03, Vol.80 (2)

2024

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Causal inference for time-to-event data with a cured subpopulation

Biometrics, 2024-03, Vol.80 (2)

2024

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High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis

Biometrics, 2024-03, Vol.80 (2)

2024

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Case weighted power priors for hybrid control analyses with time-to-event data

Biometrics, 2024-03, Vol.80 (2)

2024

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Single proxy control

Biometrics, 2024-03, Vol.80 (2)

2024

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Estimating the size of a closed population by modeling latent and observed heterogeneity

Biometrics, 2024-03, Vol.80 (2)

2024

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Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach

Biometrics, 2024-03, Vol.80 (2)

2024

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Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure

Biometrics, 2024-01, Vol.80 (1)

2024

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Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss

Biometrics, 2024-01, Vol.80 (1)

2024

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Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data

Biometrics, 2024-01, Vol.80 (1)

2024

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Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield

Rejoinder to the discussion on "The central role of the identifying assumption in population size estimation"

A systematic evaluation of the influence of macrophage phenotype descriptions on inflammatory dynamics

Behavioral carry-over effect and power consideration in crossover trials

Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors

Conditional modeling of panel count data with partly interval-censored failure event

Comparing two spatial variables with the probability of agreement

Merging or ensembling: integrative analysis in multiple neuroimaging studies

Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

Asymptotic uncertainty of false discovery proportion

Diagnostics for regression models with semicontinuous outcomes

Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data

Addressing age measurement errors in fish growth estimation from length-stratified samples

Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components

Deep partially linear cox model for current status data

High-dimensional covariate-augmented overdispersed poisson factor model

Causal inference for time-to-event data with a cured subpopulation

High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis

Case weighted power priors for hybrid control analyses with time-to-event data

Single proxy control

Estimating the size of a closed population by modeling latent and observed heterogeneity

Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach

Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure

Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss

Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data

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