Improving measurement of binary covariates in claims data: A simulation study
Sign Up to like & getrecommendations! Published in 2020 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.4961
Abstract: When investigators have two claims‐based definitions for a binary confounder, it is unclear whether to prefer the more sensitive or more specific definition. Our objective was to compare adjusting for the sensitive or specific definition… read more here.
Keywords: measurement binary; data simulation; binary covariates; claims data ... See more keywords
Home Sports Intelligent Data Simulation Based on RDMA Read Mechanism of High Performance Computing System
Sign Up to like & getrecommendations! Published in 2021 at "Microprocessors and Microsystems"
DOI: 10.1016/j.micpro.2021.104060
Abstract: Abstract Home games are one of the most essential to improve and ensure another quality. To do this, fix the mistake utilizing an innovation called RDMA and make it. Distant memory is utilized to move… read more here.
Keywords: sports intelligent; home; intelligent data; innovation ... See more keywords
Usefulness of Data Simulation for Training Deep Learning Denoising Algorithms in Infrared Spectral Histology.
Sign Up to like & getrecommendations! Published in 2025 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.5c02174
Abstract: This study investigates the use of simulated data to train deep learning models for denoising infrared spectral images of paraffin-embedded tissue sections in clinical applications. Noise in Fourier-transform infrared spectroscopy poses significant challenges, particularly when… read more here.
Keywords: deep learning; simulated data; infrared spectral; histology ... See more keywords
Data Simulation by Resampling—A Practical Data Augmentation Algorithm for Periodical Signal Analysis-Based Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937838
Abstract: In recent years, machine learning and deep learning based fault diagnosis methods have been studied, however, most of them remain at the experimental stage mainly because of two obstacles, briefly, a) inadequate faulty examples and… read more here.
Keywords: diagnosis; based fault; simulation resampling; augmentation ... See more keywords
Systematic evaluation with practical guidelines for single-cell and spatially resolved transcriptomics data simulation under multiple scenarios
Sign Up to like & getrecommendations! Published in 2024 at "Genome Biology"
DOI: 10.1186/s13059-024-03290-y
Abstract: Single-cell RNA sequencing (scRNA-seq) and spatially resolved transcriptomics (SRT) have led to groundbreaking advancements in life sciences. To develop bioinformatics tools for scRNA-seq and SRT data and perform unbiased benchmarks, data simulation has been widely… read more here.
Keywords: spatially resolved; single cell; practical guidelines; simulation ... See more keywords
Hypothesis-Testing Demands Trustworthy Data—A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2018.00460
Abstract: In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results lack sufficient statistical power,… read more here.
Keywords: data simulation; program strategy; research program; strategy ... See more keywords