Following publication of the original article [1], the authors flagged that the author affiliations detailed in the article are incorrect for the authors M. L. Calcagni and A. Giordano.
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http://dx.doi.org/10.1186/s13550-019-0495-8 | DOI Listing |
Stat Med
February 2025
Medical University of South Carolina, Charleston, South Carolina, USA.
This manuscript derives the allocation predictability measured by the correct guess probability and the probability of being deterministic for individual treatment assignments, as well as the averages of a randomization sequence, based on the treatment imbalance transition matrix and the conditional allocation probability. The methods described are applicable to restricted randomization designs that satisfy the following criteria: (1) two-arm equal allocation, (2) restriction of maximum tolerated imbalance, and (3) conditional allocation probability fully determined by the observed current treatment imbalance. Analytical results indicate that, for two-arm equal allocation trials, allocation predictability alternates by the odd/even sequence order of the treatment assignment.
View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Large language models (LLMs) have been utilized to automate tasks like writing discharge summaries and operative reports in neurosurgery. The present study evaluates their ability to identify current procedural terminology (CPT) codes from operative reports. Three LLMs (ChatGPT 4.
View Article and Find Full Text PDFThere remains a scarcity of studies to evaluate the treatment effect of electroconvulsive therapy (ECT). Functional near-infrared spectroscopy (fNIRS) offers a cost-effective method to measure cerebral hemodynamics. This study used fNIRS to evaluate the effect of ECT in patients suffering from schizophrenia or bipolar disorder (manic phase).
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.
The term pansharpening denotes the process by which the geometric resolution of a multiband image is increased by means of a co-registered broadband panchromatic observation of the same scene having greater spatial resolution. Over time, the benchmarking of pansharpening methods has revealed itself to be more challenging than the development of new methods. Their recent proliferation in the literature is mostly due to the lack of a standardized assessment.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!