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.

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 ...

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 ...

To determine if low-frequency repetitive transcranial magnetic stimulation targeting the primary motor cortex contralateral (M1 CL) to the affected corticospinal tract in patients with hemiparetic ...

A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the coefficient of variation (CVe) produces information for ...

Low back pain (LBP) is a common problem, but the efficacy of pharmacological therapies remains controversial. Therefore, we aimed to comprehensively evaluate and quantitatively rank various ...

Abstract: The Lifetime Delayed Degradation Process (LDDP) provides an explanation framework for sequential hard and soft failure modes. In this typical industrial product failure mode, the ...

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 ...

There are numerous fields of science in which multistate models are used, including biomedical research and health economics. In biomedical studies, these stochastic continuous-time models are used to ...

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 ...