Randomization Tests that Condition on Non-Categorical Covariate Balance by Branson Zach, Miratrix Luke W.

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Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity by Hongjiao Liu, Wodan Ling, Xing Hua, Jee-Young Moon, Jessica S. Williams-Nguyen, Xiang Zhan, Anna M. Plantinga, Ni Zhao, Angela Zhang, Rob Knight, Qibin Qi, Robert D. Burk, Robert C. Kaplan, Michael C. Wu

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PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals by Qi Liu, Bryan Shepherd, Chun Li

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Using Summary Statistics to Model Multiplicative Combinations of Initially Analyzed Phenotypes With a Flexible Choice of Covariates by Jack M. Wolf , Jason Westra, Nathan Tintle, Nathan Tintle

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More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study by Raphaëlle Momal, Honghao Li, Paul Trichelair, Michael G. B. Blum, Félix Balazard

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Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses by Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore

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A comparison of covariate adjustment approaches under model misspecification in individually randomized trials by Mia S. Tackney, Tim Morris, Ian White, Clemence Leyrat, Karla Diaz-Ordaz, Elizabeth Williamson

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Regional block techniques for pain management after video-assisted thoracoscopic surgery: a covariate-adjusted Bayesian network meta-analysis by Tao Jiang, Xuan Mo, Ruonan Zhan, Yi Zhang, Yao Yu

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PRANA: an R package for differential co-expression network analysis with the presence of additional covariates by Seungjun Ahn, Somnath Datta

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A comparison of methods to adjust for continuous covariates in the analysis of randomised trials by Brennan C. Kahan, Helen Rushton, Tim P. Morris, Rhian M. Daniel

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Model-based standardization using multiple imputation by Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

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Estimating relative risks and risk differences in randomised controlled trials: a systematic review of current practice by Jacqueline Thompson, Samuel I. Watson, Lee Middleton, Karla Hemming

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The variance of causal effect estimators for binary v-structures by Kuipers Jack, Moffa Giusi

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Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological review by Stuart G. Nicholls, Ahmed A. Al‐Jaishi, Harrison Niznick, Kelly Carroll, Mohamad Tarek Madani, Katherine D. Peak, Leen Madani, Pascale Nevins, Lionel Adisso, Fan Li, Charles Weijer, Susan L. Mitchell, Vivian Welch, Ana R. Quiñones, Monica Taljaard

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Robust variance estimation for covariate-adjusted unconditional treatment effect in randomized clinical trials with binary outcomes by Ting Ye, Marlena Bannick, Yanyao Yi, Jun Shao

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Recommendations for using standardised phenotypes in genetic association studies by Naylor Melissa G, Weiss Scott T, Lange Christoph

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Planning a method for covariate adjustment in individually randomised trials: a practical guide by Tim P. Morris, A. Sarah Walker, Elizabeth J. Williamson, Ian R. White

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A Comprehensive Review and Tutorial on Confounding Adjustment Methods for Estimating Treatment Effects Using Observational Data by Amy X. Shi, Paul N. Zivich, Haitao Chu

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Technical Considerations in the Use of the E-Value by VanderWeele Tyler J., Ding Peng, Mathur Maya

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Assessing treatment effects with adjusted restricted mean time lost in observational competing risks data by Haoning Shen, Chengfeng Zhang, Yu Song, Zhiheng Huang, Yanjie Wang, Yawen Hou, Zheng Chen

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