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Paper Review Records

全部论文审稿周期

24 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接

375 天

Blinded‐Into‐Unblinded Interim Analyses for Clinical Trials With Time‐to‐Event Endpoints

作者
Stephen Schüürhuis; Jan Meis; Björn Bokelmann; Meinhard Kieser; Carolin Herrmann展开收起
作者单位
1. Institute of Biometry and Clinical Epidemiology, Charité ‐ Universitätsmedizin Berlin Corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany; 2. Institute of Medical Biometry University of Heidelberg Heidelberg Germany; 3. Mathematical Institute and Center for Digital Medicine Heinrich Heine University Düsseldorf Düsseldorf Germany展开收起
PDF源文件 DOI 网页
194 天

Censoring, Competing Events, and Multistate Models: Comment on Beyersmann et al. “Hazards Constitute Key Quantities for Analyzing, Interpreting and Understanding Time‐to‐Event Data”

作者
Malka Gorfine; Daniel Nevo展开收起
作者单位
1. Department of Statistics and Operations Research Tel Aviv University Tel Aviv Israel展开收起
PDF源文件 DOI 网页
426 天

An Efficient Estimation Method for Longitudinal Data Using Bayesian Conditional Transformation Models

作者
Giovanni Pastori Piccirilli; Márcia D'Elia Branco; Jorge L. Bazán展开收起
作者单位
1. Institute of Mathematics and Statistics University of São Paulo São Paulo São Paulo Brazil; 2. Department of Applied Mathematics and Statistics University of São Paulo São Carlos São Paulo Brazil展开收起
PDF源文件 DOI 网页
188 天

Comparison of Different Methods for the Meta‐Analysis of Diagnostic Test Accuracy Studies—A Simulation Study

作者
Ferdinand V. Stoye; Olaf Raths; Alexander Hapfelmeier; Alexey Fomenko; Oliver Kuss; Annika Hoyer展开收起
作者单位
1. Biostatistics and Medical Biometry, Medical School OWL Bielefeld University Bielefeld Germany; 2. Institute of General Practice and Health Services Research, TUM School of Medicine and Health Technical University of Munich Munich Germany; 3. Institute of AI and Informatics in Medicine, TUM School of Medicine and Health Technical University of Munich Munich Germany; 4. Institute for Biometrics and Epidemiology, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf Düsseldorf Germany展开收起
PDF源文件 DOI 网页
212 天

When to Adjust for Multiple Testing: A Unifying Guiding Principle

作者
Sabine Hoffmann; Simon Lemster; Gary Collins; Alexander Hapfelmeier; Georg Heinze; Andreas Mayr; Matthias Schmid; Juliane C. Wilcke; Anne‐Laure Boulesteix展开收起
作者单位
1. Department of Statistics LMU Munich Munich Germany; 2. Institute for Medical Information Processing, Biometry, and Epidemiology, LMU Medizin LMU Munich Munich Germany; 3. Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health University of Birmingham Birmingham UK; 4. Institute of AI and Informatics in Medicine, TUM School of Medicine and Health Technical University of Munich Munich Germany; 5. Institute of General Practice and Health Services Research, TUM School of Medicine and Health Technical University of Munich Munich Germany; 6. Institute of Clinical Biometrics, Center for Medical Data Science Medical University of Vienna Vienna Austria; 7. Institute for Medical Biometry and Statistics University of Marburg Marburg Germany; 8. Institute for Medical Biometry, Informatics, and Epidemiology University Hospital Bonn Bonn Germany; 9. Munich Center for Machine Learning (MCML) Munich Germany展开收起
PDF源文件 DOI 网页
122 天

Ensuring Quality in Preclinical Research: The Importance of Being Human

作者
Tina Lang; Frank Konietschke; Jörg Rahnenführer; René Kubiak; Michael Brendel; Harald Binder; Bernd‐Wolfgang Igl展开收起
作者单位
1. Scientific Insight Solutions Bayer AG Wuppertal Germany; 2. Institute of Biometry and Clinical Epidemiology Charité—Universitätsmedizin Berlin Berlin Germany; 3. Department of Statistics TU Dortmund University Dortmund Germany; 4. Translational Medicine & Research Statistics Sanofi Frankfurt am Main Germany; 5. Global Biostatistics & Data Sciences Boehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany; 6. Faculty of Medicine and Medical Center Institute of Medical Biometry and Statistics (IMBI) University of Freiburg Freiburg Germany; 7. Global Experimental Medicine, Data and Analysis Boehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany展开收起
PDF源文件 DOI 网页

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我是环境工程专业,需要一篇 SCI,希望 3 个月内见刊。没有基金,也没有大牛挂名,可以投哪些期刊?

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可以。先按 90 天时限做可行性筛选,同步查找无基金、无知名作者挂靠的典型论文案例,作为选刊依据。重点核对研究质量与期刊 scope。

拟题建议
《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》

样本口径2026 年最近 5 篇有效论文样本

平均审稿62 天

中位数65 天

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