When we shouldn’t borrow information from an existing network of trials for planning a new trial by Fangshu Ye, Chong Wang, Chong Wang, Annette M. O’Connor, Annette M. O’Connor

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A Bayesian latent class mixture model with censoring for correlation analysis in antimicrobial resistance across populations by Min Zhang, Chong Wang, Annette M. O’Connor

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Optimal trial design selection: a comparative analysis between two-arm and three-arm trials incorporating network meta-analysis for evaluating a new treatment by Fangshu Ye, Chong Wang, Annette M. O’Connor

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OssaNMA: An R package for using information from network meta-analyses to optimize the power and sample allocation of a new two-arm trial. by Fangshu Ye, Chong Wang, Annette M O'Connor

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A likelihood ratio test for the homogeneity of between-study variance in network meta-analysis by Dapeng Hu, Chong Wang, Annette M. O’Connor

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A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease. by Dapeng Hu, Chong Wang, Annette M O'Connor

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Levels of Evidence, Quality Assessment, and Risk of Bias: Evaluating the Internal Validity of Primary Research by Jan M. Sargeant, Marnie L. Brennan, Annette M. O'Connor

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Using information from network meta-analyses to optimize the power and sample allocation of a subsequent trial with a new treatment by Dapeng Hu, Chong Wang, Fangshu Ye, Annette M. O’Connor

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The standards of reporting randomized trials in pets (PetSORT): Methods and development processes by Audrey Ruple, Jan M. Sargeant, Laura E. Selmic, Annette M. O'Connor

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The standards of reporting trials in pets (PetSORT): Explanation and elaboration by Jan M. Sargeant, Audrey Ruple, Laura E. Selmic, Annette M. O'Connor

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Aligning valid research outcomes with stakeholder values—what do they need for decision-making? by David G. Renter, Jan M. Sargeant, Annette M. O’Connor, Audrey Ruple

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Exposure variables in veterinary epidemiology: are they telling us what we think they are? by Audrey Ruple, Jan M. Sargeant, Annette M. O’Connor, David G. Renter

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What question are we trying to answer? Embracing causal inference by Jan M. Sargeant, Annette M. O’Connor, David G. Renter, Audrey Ruple

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Watch your language: An exploration of the use of causal wording in veterinary observational research by Jan M. Sargeant, Annette M. O'Connor, Sarah C. Totton, Ellen R. Vriezen

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Reporting and analysis of repeated measurements in preclinical animals experiments. by Jing Zhao, Chong Wang, Sarah C Totton, Jonah N Cullen, Annette M O'Connor

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Invited review: Maximizing value and minimizing waste in clinical trial research in dairy cattle: Selecting interventions and outcomes to build an evidence base by Jan M. Sargeant, Annette M. O'Connor, Stephen J. LeBlanc, Charlotte B. Winder

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A focus on cross-purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourt... by Annette M. O’Connor, Paul Glasziou, Michele Taylor, James Thomas, René Spijker, Mary S. Wolfe

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Connecting a disconnected trial network with a new trial: optimizing the estimation of a comparative effect in a network meta-analysis by Lauren McKeen, Paul Morris, Chong Wang, Max D. Morris, Annette M. O’Connor

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Moving toward the automation of the systematic review process: a summary of discussions at the second meeting of International Collaboration for the Automation of Systematic Review... by Annette M. O’Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe

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The case for development of a core outcome set (COS) and supplemental reporting guidelines for influenza vaccine challenge trial research in swine by Sheila Keay, Famke Alberts, Annette M. O’Connor, Robert Friendship, Terri O’Sullivan, Zvonimir Poljak

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