Results 21 to 30 of about 550,911 (287)
Introduction: Biostatistics is a discipline concerned with how we ought to make decisions when analysing biomedical data. As statistics is desirable at every stage of research to obtain scientifically important information and reliable results, the ...
Gautami S Penmetsa +2 more
doaj +1 more source
Randomization-Based Confidence Intervals for Cluster Randomized Trials [PDF]
In a cluster randomized trial (CRT), groups of people are randomly assigned to different interventions. Existing parametric and semiparametric methods for CRTs rely on distributional assumptions or a large number of clusters to maintain nominal ...
Rabideau, Dustin J, Wang, Rui
core +2 more sources
A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health [PDF]
In the United Kingdom, air pollution is linked to around 40000 premature deaths each year, but estimating its health effects is challenging in a spatio-temporal study.
Lee, Duncan +3 more
core +1 more source
Learning gaps among statistical competencies for clinical and translational science learners
Introduction: Statistical literacy is essential in clinical and translational science (CTS). Statistical competencies have been published to guide coursework design and selection for graduate students in CTS. Here, we describe common elements of graduate
Robert A. Oster +10 more
doaj +1 more source
Best Practices for Biostatistical Consultation and Collaboration in Academic Health Centers [PDF]
Given the increasing level and scope of biostatistics expertise needed at academic health centers today, we developed best practices guidelines for biostatistics units to be more effective in providing biostatistical support to their institutions, and in
Bacchetti, Peter +10 more
core +1 more source
Workshop report: building biostatistics capacity in Sub-saharan Africa-taking action
To address the need for capacity development in biostatistics in the Sub-Saharan African region and to move recommendations from previous workshops into action, we brought together biostatisticians from the region to provide an opportunity to brainstorm ...
Rhoderick Machekano +4 more
doaj +1 more source
OnRAMP for Regulating Artificial Intelligence in Medical Products
Medical artificial intelligence (AI) involves the application of machine learning (ML) algorithms to biomedical datasets to improve medical practices. Products incorporating medical AI require certification before deployment in most jurisdictions.
David C. Higgins
doaj +1 more source
Sample Size Estimation in Veterinary Epidemiologic Research
In the design of intervention and observational epidemiological studies sample size calculations are used to provide estimates of the minimum number of observations that need to be made to ensure that the stated objectives of a study are met ...
Mark A. Stevenson
doaj +1 more source
Joint modeling of ChIP-seq data via a Markov random field model [PDF]
Chromatin ImmunoPrecipitation-sequencing (ChIP-seq) experiments have now become routine in biology for the detection of protein-binding sites. In this paper, we present a Markov random field model for the joint analysis of multiple ChIP-seq experiments ...
Dhavala +9 more
core +2 more sources
Neuroconductor: an R platform for medical imaging analysis [PDF]
Neuroconductor (https://neuroconductor.org) is an open-source platform for rapid testing and dissemination of reproducible computational imaging software.
Avants, B. +15 more
core +1 more source

