Using Simulated Data to Assess Case-Crossover Designs for Studying Less Transient Effects of Drugs
Sign Up to like & getrecommendations! Published in 2017 at "Drug Safety"
DOI: 10.1007/s40264-017-0549-7
Abstract: Decades after the case-crossover (CCO) design was first described [1], recent studies of potential biases and alternative applications of CCO analyses using pharmaceutical and healthcare utilization databases are still yielding new insights [2, 3]. In… read more here.
Keywords: cco; case crossover; simulated data; drug ... See more keywords
Simulated LC-MS Data Set for Assessing the Metabolomics Data Processing Pipeline Implemented into MVAPACK.
Sign Up to like & getrecommendations! Published in 2024 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.3c04979
Abstract: Metabolomics commonly relies on using one-dimensional (1D) 1H NMR spectroscopy or liquid chromatography-mass spectrometry (LC-MS) to derive scientific insights from large collections of biological samples. NMR and MS approaches to metabolomics require, among other issues,… read more here.
Keywords: simulated data; data sets; processing pipeline; software ... 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
Taxon incompleteness and discrete time bins affect character change rates in simulated data
Sign Up to like & getrecommendations! Published in 2020 at "Biology Letters"
DOI: 10.1098/rsbl.2020.0418
Abstract: Estimating how fast or slow morphology evolves through time (phenotypic change rate, PR) has become common in macroevolutionary studies and has been important for clarifying key evolutionary events. However, the inclusion of incompletely scored taxa… read more here.
Keywords: taxon incompleteness; discrete time; time bins; simulated data ... See more keywords
Transfer of Robot Perception Module With Adversarial Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923541
Abstract: It is a recent trend in the field of robotic control to collect large amount of data from simulated environments and then use it to train deep neural networks. However, there are many essential differences… read more here.
Keywords: perception module; domain; simulated data; robot perception ... See more keywords
Abstract 4287: The combination of statistical methods to compare observed and simulated data allowed to assess effectively the validity of mathematical model predictions in a context of a EGFR+ lung adenocarcinoma
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-4287
Abstract: Introduction In silico models proved to be a promising tool to complement and optimize clinical trials. These models should be validated to assess their capacity to reproduce real life behaviors. Opposed to real-life clinical trials… read more here.
Keywords: lung adenocarcinoma; mathematical model; validation; combination ... See more keywords
A Commentary on the Use of Simulated Settings in Business Communication Research
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Business Communication"
DOI: 10.1177/2329488419878863
Abstract: Although there are different views toward the use of simulations for research purposes, interactional data produced in a simulated setting (simulated data) is still common in the field of business communication research. However, little research… read more here.
Keywords: research; use; simulated data; business ... See more keywords
Benchmarking Differential Abundance Tests for 16S microbiome sequencing data using simulated data based on experimental templates
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0321452
Abstract: Differential abundance (DA) analysis of metagenomic microbiome data is essential for understanding microbial community dynamics across various environments and hosts. Identifying microorganisms that differ significantly in abundance between conditions (e.g., health vs. disease) is crucial… read more here.
Keywords: experimental templates; data using; differential abundance; simulated data ... See more keywords
Accuracies of Training Labels and Machine Learning Models: Experiments on Delirium and Simulated Data
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220161
Abstract: Supervised predictive models require labeled data for training purposes. Complete and accurate labeled data is not always available, and imperfectly labeled data may need to serve as an alternative. An important question is if the… read more here.
Keywords: accuracies training; training labels; labeled data; labels machine ... See more keywords
Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data
Sign Up to like & getrecommendations! Published in 2020 at "Molecules"
DOI: 10.3390/molecules26010020
Abstract: Real-time reverse transcription (RT) PCR is the gold standard for detecting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), owing to its sensitivity and specificity, thereby meeting the demand for the rising number of cases. The… read more here.
Keywords: simulated data; pcr; model; artificial intelligence ... See more keywords