Across much of modern health research, children are measured—but not always heard. For much of the past half-century, health ...
Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...
Introduction Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at least some of the time for all unique covariate ...
Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...
Objectives COVID-19, a public health emergency affecting the world in 2019, not only greatly promoted the development and application of vaccines but also effectively shortened the publishing time of ...
Scientists show that the frequency of a set of words seems to have increased in published study abstracts since ChatGPT was released into the world. By Gina Kolata Scientists know it is happening, ...
For decades, efforts to halt deforestation in the Global South have gained much attention within the policy arena, most recently as a powerful and effective measure to mitigate climate change and ...
OpenAI announced a new AI agent called Deep Research on Sunday. The AI agent surfs the web, finds sources, and writes a research paper complete with tables and bullet points based on a prompt. The ...
ABSTRACT: Missing data presents a significant challenge in statistical analysis and machine learning, often resulting in biased outcomes and diminished efficiency. This comprehensive review ...
Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...
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