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http://dx.doi.org/10.2337/dc20-0993 | DOI Listing |
Sci Total Environ
April 2024
Université de Limoges, Laboratoire E2Lim, Faculté des Sciences et Techniques, 87060 Limoges, France.
This correspondence critically examines and rectifies modeling deficiencies identified in a recent article published in this journal. Our analysis covers a range of models and issues, including the Temkin isotherm, the Flory-Huggins isotherm, the pseudo-first-order kinetic model, the pseudo-second-order kinetic model, the intraparticle diffusion model, the Elovich kinetic model, and the computation of thermodynamic parameters. The elucidation and correction of these modeling issues contribute to a more accurate and reliable understanding of the studied phenomena, thereby enhancing the scientific rigor of the subject paper.
View Article and Find Full Text PDFJ Hazard Mater
March 2024
Institute of Energy Infrastructure, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Selangor Darul Ehsan, Malaysia; Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Selangor Darul Ehsan, Malaysia.
Addressing inaccuracies in review articles is essential to prevent the proliferation of misinformation. This communication is dedicated to rectifying factual errors identified in a recent review article featured in this journal, with a specific emphasis on addressing errors related to the Temkin, Flory-Huggins, Sips, and Baudu isotherm models. By elucidating and clarifying these inaccuracies, we aim to uphold the integrity of scientific discourse and ensure the accurate dissemination of information within the scholarly community.
View Article and Find Full Text PDFBiometrics
June 2023
Department of Statistics, Rutgers University, Piscataway, New Jersey, USA.
Ye, Ertefaie, Flory, Hennessy, and Small (YEFHS) proposed a new method, instrumented difference-in-differences, for dealing with unmeasured confounding. In this note, I connect and compare assumptions and identifications in instrumental variable (IV) and difference-in-differences (DID) methods with those in YEFHS, derive new identification results, and discuss different choices when extending such results to adjust for covariates.
View Article and Find Full Text PDFBiometrics
June 2023
Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
I discuss the assumptions needed for identification of average treatment effects and local average treatment effects in instrumented difference-in-differences (IDID), and the possible trade-offs between assumptions of standard IV and those needed for the new proposal IDID, in one- and two-sample settings. I also discuss the interpretation of the estimands identified under monotonicity. I conclude by suggesting possible extensions to the estimation method, by outlining a strategy to use data-adaptive estimation of the nuisance parameters, based on recent developments.
View Article and Find Full Text PDFBiometrics
June 2023
ORSTAT, KU Leuven, Leuven, Belgium.
We discuss Ye et al. 2022, which combines instrumental variables methods with difference in differences. First, we compare the paper to other works in the difference in differences literatures and argue that the main contribution lies in the multiply robust estimation approach.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!