Abstract: This paper presents a trial of establishing a framework for Bayesian statistical modeling of quality of experience (QoE) estimation and prediction in multimedia IP communications. As an ...
aDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang ...
Objectives We aimed to investigate which prevention strategies for low back pain (LBP) are most effective. Design We completed a Bayesian network meta-analysis to summarise the comparative ...
Objectives To identify published closed-loop Bayesian mixed treatment comparisons (MTCs) and to summarise characteristics regarding their conduct and reporting. Design Systematic review. Methods We ...
Objective This study aimed to investigate the spatial distribution of drug-resistant tuberculosis (DR-TB) in Hunan province, China. Methods An ecological study was conducted using DR-TB data collected ...
This Hybrid short course focuses on the principles of Bayesian data analysis. You'll learn to apply Bayesian methods to your own research and understand other people's results using Bayesian analysis.
For more details see the full course programme. This course is for health economists, statisticians, and decision modellers interested in the extension of pair-wise meta-analysis to network ...
Livestock grazing can shape temperate grassland ecosystems, with both positive and negative effects on wildlife documented depending on a variety of grazing and site factors. Historically, research ...
Introduction: As non-small cell lung cancer (NSCLC) seriously threatens human health, several clinical studies have reported that Chinese herbal injections (CHIs) in combination with and gemcitabine ...
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