Recommendations for improving rigor and reproducibility in site specific characterization

Cody J. Wrasman; Alexis Bell; Bert D. Chandler; James W. Harris; Stephanie Kwon; Madelyn R. Ball; Siddarth H. Krishna; Sheima J. Khatib; Praveen Bollini; Yuriy Román‐Leshkov; Andrew “Bean” Getsoian; Robert S. Weber; Johannes A. Lercher; Dongxia Liu; Daniel E. Resasco; Jason S. Bates; Jacklyn N. Hall; Edgard A. Lebrón‐Rodríguez; Laura Paz Herrera; Justin M. Notestein; Joshua A. Schaidle

doi:10.1016/j.jcat.2024.115451

Article2022

Recommendations for improving statistical inference in population genomics

Parul Johri, Charles F. Aquadro, Mark Beaumont, Brian Charlesworth, Laurent Excoffier, Adam Eyre‐Walker, Peter D. Keightley, Michael E Lynch, Gil McVean, Bret A. Payseur, Susanne P. Pfeifer, Wolfgang Stephan, Jeffrey D. Jensen

Preprint2021

Recommendations for improving statistical inference in population genomics

Parul Johri, Charles F. Aquadro, Mark Beaumont, Brian Charlesworth, Laurent Excoffier, Adam Eyre‐Walker, Peter D. Keightley, Michael E Lynch, Gil McVean, Bret A. Payseur, Susanne P. Pfeifer, Wolfgang Stephan, Jeffrey D. Jensen

Article2019

Independent discussion sections for improving inferential reproducibility in published research

Michael S. Avidan, John P A Ioannidis, George A. Mashour

Article2011

Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data

Giles Foody

IEEE Transactions on Geoscience and Remote Sensing

Article2024

Atmospheric microplastics: Challenges in site- and target-specific measurements

Ji Hoon Seo, Yujin Shin, In-gyu Song, Jonghun Lim, Yong Sik Ok, Seunghyun Weon

Recommendations for improving rigor and reproducibility in site specific characterization

Discussion(0)

Related publications

Recommendations for improving statistical inference in population genomics

Recommendations for improving statistical inference in population genomics

Independent discussion sections for improving inferential reproducibility in published research

Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data

Atmospheric microplastics: Challenges in site- and target-specific measurements