Quantitative bias analysis for mismeasured variables in health research: a review of software tools by Codie J. C. Wood, Kate Tilling, Jonathan W. Bartlett, Rachael A. Hughes

“…Abstract Background Measurement error and misclassification can cause bias or loss of power in epidemiological studies. …”
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An Analysis of Differential Bundle Functioning in Multidimensional Tests Using the SIBTEST Procedure by Hülya Kelecioğlu, Didem Özdoğan

“…The results of the study were interpreted according to the criteria of the power rate and the type I error. When the results were reviewed, the analysis of the bundle revealed that the more the correlation between the two dimensions increased, relatively the less the power rates became. …”
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A Note on the Perturbation of arithmetic expressions by Baghdad Science Journal

“…In this paper we present the theoretical foundation of forward error analysis of numerical algorithms under;• Approximations in "built-in" functions.• Rounding errors in arithmetic floating-point operations.• Perturbations of data.The error analysis is based on linearization method. …”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…The advantages of our spatial-temporal analysis are discussed, including model-free mode, solid theoretical foundation, and robustness against ubiquitous uncertainty and partial data error. …”
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Methods for Analyzing Avionics Reliability Reflecting Atmospheric Radiation in the Preliminary Development Phase: An Integrated Failure Rate Analysis by Dongmin Lee, Jongwhoa Na

“…This study introduces an integrated failure rate analysis that incorporates both the physics of failure rates resulting from aging and wear-out and soft error rates induced by atmospheric radiation. …”
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Assimilating GOES‐16 ABI All‐Sky Brightness Temperature Into the HAFS Dual‐Resolution Self‐Consistent EnVar DA System: Methods for Observation Error Estimation and Impact on Hurric... by Xu Lu, Xuguang Wang

“…Abstract This study investigates the impact of assimilating GOES‐16 all‐sky Advanced Baseline Imager (ABI) brightness temperature observations using a newly developed, continuously self‐cycled, dual‐resolution, 3DEnVar data assimilation system within the Hurricane Analysis and Forecast System. …”
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NEW INSIGHTS FOR STATISTICAL ANALYSIS OF BLOOD PRESSURE RESPONSE TO RESISTANCE TRAINING IN ELDERLY HYPERTENSIVE WOMEN by Dahan da Cunha Nascimento, Cristiane Rocha Silva, Denis Cesar Leite Vieira, Brad Jon Schoenfeld, Jonato Prestes

“…ABSTRACT The main goal was to present statistical procedures for a better data interpretation of responsiveness, explain how to deal with RTM effect, and describe how to determine clinically important changes in BP from significant real difference (SRD). …”
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Evaluation of metrological characteristics of spectral analysis method for determining erythrocyte morphology by Yevgen Sokol, Kostyantin Kolisnyk, Tatyana Bernads’ka

“…The aim of this work is to evaluate the metrological characteristics of the newly developed method of determining the geometric parameters of erythrocytes, which combines spectral analysis and double annealing. The input data for the 3D imaging of erythrocytes were taken from the images of the sample both made in natural light and illuminated by a coherent light source with different wavelengths. …”
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Information Theoretic Analysis of PUF-Based Tamper Protection by Georg Maringer, Matthias Hiller

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A Variance Shift Model for Detection of Outliers in the Linear Measurement Error Model by Babak Babadi, Abdolrahman Rasekh, Ali Akbar Rasekhi, Karim Zare, Mohammad Reza Zadkarami

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Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology by Li Shengjia, Ma Yali, Zhao Yongsheng, Pu Dajun, Yan Shidang

“…Aiming at the difficulty of analyzing the meshing contact characteristics of gear transmission system under the big data formed by multiple working conditions and uncertain parameters, a meshing contact characteristics analysis method of gear transmission system based on data mining technology is proposed. …”
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The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection by Pak Hung Chan, Boda Li, Gabriele Baris, Qasim Sadiq, Valentina Donzella

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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting by Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim

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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. …”
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Designing a Multi-Modal Vehicle Data Capture System for Forensic Accident Analysis by Wibowo Helmi, Pranoto Ethys, Humami Faris, Pratama Yoga

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Factors affecting myopia control outcomes with orthokeratology treatment in children: a retrospective analysis by Fengjiao Wang, Fengjiao Wang, Wenwen Wang, Chengqiang Yin, Shiqi Yang, Xiaomin Zhan, Huan Chen, Jun Deng, Jun Deng

“…Multivariate linear regression analysis was used to identify factors associated with axial length (AL) changes over a 1 year period. …”
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Semi-quantitative parameter analysis of DCE-MRI revisited: monte-carlo simulation, clinical comparisons, and clinical validation of measurement errors in patients with type 2 neuro... by Alan Jackson, Ka-Loh Li, Xiaoping Zhu

“…<h4>Purpose</h4>To compare semi-quantitative (SQ) and pharmacokinetic (PK) parameters for analysis of dynamic contrast enhanced MR data (DCE-MRI) and investigate error-propagation in SQ parameters.…”
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The Integration of Internet of Things and Machine Learning for Energy Prediction of Wind Turbines by Christos Emexidis, Panagiotis Gkonis

“…Ultimately, the data analysis and the results from metrics and criteria show that Random Forest regression is more suitable for weather condition datasets than the other two regression models. …”
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Bayesian Spatial and Trend Analysis on Ozone Extreme Data in South Korea: 1991–2015 by Cheru Atsmegiorgis Kitabo

“…Spatial generalized extreme value (GEV) using maximum likelihood estimation (MLE) and two max-stable and Bayesian kriging models are the statistical models used for analysis. Moreover, predictive performances of these statistical models are compared using measures like root-mean-squared error (RMSE), mean absolute error (MAE), relative bias (rBIAS), and relative mean separation (rMSEP) have been utilized. …”
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Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

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