A Tutorial on Analyzing Ecological Momentary Assessment Data in Psychological Research With Bayesian (Generalized) Mixed-Effects Models.

In this tutorial, we introduce the reader to analyzing ecological momentary assessment (EMA) data as applied in psychological sciences with the use of Bayesian (generalized) linear mixed-effects models. We discuss practical advantages of the Bayesian approach over frequentist methods and conceptual differences. We demonstrate how Bayesian statistics can help EMA researchers to (a) incorporate prior knowledge and beliefs in analyses, (b) fit models with a large variety of outcome distributions that reflect likely data-generating processes, (c) quantify the uncertainty of effect-size estimates, and (d) quantify the evidence for or against an informative hypothesis.

Microbial Primer: Microbiome and thermal tolerance - a new frontier in climate resilience?

Microbiome-animal host symbioses are ubiquitous in nature. Animal-associated microbiomes can play a crucial role in host physiology, health and resilience to environmental stressors. As climate change drives rising global temperatures and increases the frequency of thermal extremes, microbiomes are emerging as a new frontier in buffering vulnerable animals against temperature fluctuations.

Population-Based Analysis of Late Outcomes of Mitral Valve Repair for Degenerative Mitral Valve Regurgitation.

Background: Population-based analyses may reduce uncertainty related to referral bias and/or incomplete follow-up.

Objectives: This study analyzed long-term mortality and durability of mitral valve repair in a geographically defined population with clinical and echocardiographic follow-up.

Methods: We used the Rochester Epidemiology Project to identify 153 Olmsted County patients who underwent mitral valve repair for degenerative regurgitation from 1993 to 2018.

ECB-WQ: A Long-Term Agroecosystem Research (LTAR)-Eastern Corn Belt node field-scale water quality dataset.

The Eastern Corn Belt (ECB) node of the Long-Term Agroecosystem Research (LTAR) network is representative of row crop agricultural production systems in the poorly drained, humid regions of the US Midwest and a significant focus for addressing water quantity and quality concerns affecting Lake Erie and the Gulf of Mexico. The objectives of this paper were to (1) present relevant background information and collection methodology, (2) provide summary analyses of measured data, and (3) provide details for accessing the dataset and discuss potential database applications. The ECB-water quality (ECB-WQ) database is comprised of hydrology and water quality data from three privately owned farms in Northwest Ohio and Northeast Indiana and is available for download through the United States Department of Agriculture Ag Data Commons.

Perspectives on vaccination among unvaccinated members of a Canadian indigenous population.

From the beginning of the COVID-19 pandemic, the potential impact on Indigenous (First Nations, Métis and Inuit) communities in Canada was a major concern. Evidence from previous pandemics, particularly H1N1, suggested that more cases and poorer outcomes among Indigenous Peoples was likely and that there might be barriers to Indigenous Peoples' vaccination. In this short report we consider the non-vaccination decisions of a sample of unvaccinated Métis Nation of Ontario citizens.