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Articles (14)

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1-10 of 14 results for Bayesian method for data dropouts

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Select article: Integrated navigation approaches of vehicle aided by the strapdown celestial angles

Open access

Research article

First published 2020-5

Integrated navigation approaches of vehicle aided by the strapdown celestial angles

Hongmei Chen, Hongbo Gao, Huijuan Zhang

International Journal of Advanced Robotic Systems

Select article: Reference-based pattern-mixture models for analysis of longitudinal binary data

Retricted access

Research article

First published 2020-12

Reference-based pattern-mixture models for analysis of longitudinal binary data

Kaifeng Lu

Statistical Methods in Medical Research

Select article: Analyzing Nonresponse in Longitudinal Surveys Using Bayesian Additive Regression Trees: A Nonparametric Event History Analysis

Open access

Research article

First published 2022-6

Analyzing Nonresponse in Longitudinal Surveys Using Bayesian Additive Regression Trees: A Nonparametric Event History Analysis

Sabine Zinn, Timo Gnambs

Social Science Computer Review

Select article: Eliciting and using expert opinions about dropout bias in randomized controlled trials

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Other

First published 2007-04

Eliciting and using expert opinions about dropout bias in randomized controlled trials

Ian R White, James Carpenter, Stephen Evans [...]

Clinical Trials

Select article: Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring

Open access

Research article

First published 2024-7

Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring

Sunday Ochella, Fateme Dinmohammadi, Mahmood Shafiee

Advances in Mechanical Engineering

Select article: Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial

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Research article

First published 2016-4

Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial

Sheng Luo, Andrew B Lawson, Bo He [...]

Statistical Methods in Medical Research

Select article: Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes

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Research article

First published 2018-08

Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes

Oliver Dürr, Elvis Murina, Daniel Siegismund [...]

ASSAY and Drug Development Technologies

Select article: Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective

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Research article

First published 2018-4

Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective

Huirong Zhu, Stacia M DeSantis, Sheng Luo

Statistical Methods in Medical Research

Select article: Identifying Subpopulations of Cells in Single-Cell Transcriptomic Data: A Bayesian Mixture Modeling Approach to Zero Inflation of Counts

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Research article

First published 2023-10

Identifying Subpopulations of Cells in Single-Cell Transcriptomic Data: A Bayesian Mixture Modeling Approach to Zero Inflation of Counts

Tom Wilson, Duong H.T. Vo, Thomas Thorne

Journal of Computational Biology

Select article: Inferring sun direction to improve visual odometry: A deep learning approach

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Research article

First published 2018-8

Inferring sun direction to improve visual odometry: A deep learning approach

Valentin Peretroukhin, Lee Clement, Jonathan Kelly

The International Journal of Robotics Research

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