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Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems

Proceedings of the National Academy of Sciences - PNAS, 2012-05, Vol.109 (20), p.E1312-E1319

2012

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Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events

Nature communications, 2022-02, Vol.13 (1), p.787-787, Article 787

2022

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Neural function, injury, and stroke subtype predict treatment gains after stroke

Annals of neurology, 2015-01, Vol.77 (1), p.132-145

2015

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Maternal psychosocial stress during pregnancy is associated with newborn leukocyte telomere length

American journal of obstetrics and gynecology, 2013-02, Vol.208 (2), p.134.e1-134.e7

2013

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tauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data

Nature communications, 2024-05, Vol.15 (1), p.3840-3840, Article 3840

2024

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Genetic variation in the human brain dopamine system influences motor learning and its modulation by L-Dopa

PloS one, 2013-04, Vol.8 (4), p.e61197-e61197

2013

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Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's

Alzheimer's & dementia : diagnosis, assessment & disease monitoring, 2023-10, Vol.15 (4), p.e12494-n/a

2023

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Neonatal Outcomes after Maternal Biomarker-Guided Preterm Birth Intervention: The AVERT PRETERM Trial

Diagnostics (Basel), 2024-07, Vol.14 (14), p.1462

2024

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Shahbaba, Babak

1. Aufl., 2011

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A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.459-471

2016

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Spatiotemporal dynamics of pial collateral blood flow following permanent middle cerebral artery occlusion in a rat model of sensory-based protection: a Doppler optical coherence tomography study

Neurophotonics (Print), 2019-10, Vol.6 (4), p.045012-045012

2019

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MP33-06 COMBINED URINE AND PLASMA BIOMARKERS ARE HIGHLY ACCURATE FOR PREDICTING HIGH GRADE PROSTATE CANCER

The Journal of urology, 2017-04, Vol.197 (4), p.e419-e419

2017

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Bayesian Causality

The American statistician, 2020-07, Vol.74 (3), p.249-257

2020

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A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients

Blood, 2009-10, Vol.114 (15), p.3158-3166

2009

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Using multimodal, low‐cost data to efficiently identify clinical subgroups and classify Alzheimer’s diagnosis

Alzheimer's & dementia, 2023-12, Vol.19 (S15), p.n/a

2023

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Hierarchical, multiclass prediction of Alzheimer’s clinical diagnosis using imputed, multimodal NACC data

Alzheimer's & dementia, 2022-12, Vol.18 (S5), p.n/a

2022

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Gene function classification using Bayesian models with hierarchy-based priors

BMC bioinformatics, 2006-10, Vol.7 (1), p.448-448, Article 448

2006

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What time is it? Deep learning approaches for circadian rhythms

Bioinformatics, 2016-06, Vol.32 (12), p.i8-i17

2016

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Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks

SIAM/ASA journal on uncertainty quantification, 2022-12, Vol.10 (4), p.1684-1713

2022

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Hamiltonian Monte Carlo acceleration using surrogate functions with random bases

Statistics and computing, 2017-11, Vol.27 (6), p.1473-1490

2017

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A Model-Agnostic Graph Neural Network for Integrating Local and Global Information

Journal of the American Statistical Association, 2024-09, p.1-23

2024

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Variational Hamiltonian Monte Carlo via Score Matching

Bayesian analysis, 2018-06, Vol.13 (2), p.485-506

2018

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Abstract 119: Stroke Recovery and Genetic Variation: Main Results of the STRONG Study

Stroke (1970), 2024-02, Vol.55 (Suppl_1)

2024

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Comment on Article by Finegold and Drton

Bayesian analysis, 2014, Vol.9 (3)

Shahbaba, Babak

2014

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Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels

Computational statistics & data analysis, 2022-10, Vol.174, p.107409, Article 107409

2022

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Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems

Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events

Neural function, injury, and stroke subtype predict treatment gains after stroke

Maternal psychosocial stress during pregnancy is associated with newborn leukocyte telomere length

tauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data

Genetic variation in the human brain dopamine system influences motor learning and its modulation by L-Dopa

Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's

Neonatal Outcomes after Maternal Biomarker-Guided Preterm Birth Intervention: The AVERT PRETERM Trial

Biostatistics with R: An Introduction to Statistics Through Biological Data

A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making

Spatiotemporal dynamics of pial collateral blood flow following permanent middle cerebral artery occlusion in a rat model of sensory-based protection: a Doppler optical coherence tomography study

MP33-06 COMBINED URINE AND PLASMA BIOMARKERS ARE HIGHLY ACCURATE FOR PREDICTING HIGH GRADE PROSTATE CANCER

Bayesian Causality

A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients

Using multimodal, low‐cost data to efficiently identify clinical subgroups and classify Alzheimer’s diagnosis

Hierarchical, multiclass prediction of Alzheimer’s clinical diagnosis using imputed, multimodal NACC data

Gene function classification using Bayesian models with hierarchy-based priors

What time is it? Deep learning approaches for circadian rhythms

Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks

Hamiltonian Monte Carlo acceleration using surrogate functions with random bases

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information

Variational Hamiltonian Monte Carlo via Score Matching

Abstract 119: Stroke Recovery and Genetic Variation: Main Results of the STRONG Study

Comment on Article by Finegold and Drton

Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels

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