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The American Statistician|February 12, 2020
Power and Sample Size for Fixed-Effects Inference in Reversible Linear Mixed ModelsYueh-Yun Chi, Deborah H Glueck, Keith E Muller
The American Statistician|September 28, 2020
Strategies for Success: Early-Stage Collaborating Biostatistics Faculty in an Academic Health CenterHeidi Spratt, Erin E Fox, Nawar Shara, et al.
The American Statistician|March 29, 2016
What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics CurriculumTim C Hesterberg
The American Statistician|November 7, 2017
Efficient Computation of Reduced Regression ModelsStuart R Lipsitz, Garrett M Fitzmaurice, Debajyoti Sinha, et al.
The American Statistician|February 13, 2023
Assignment-Control Plots: A Visual Companion for Causal Inference Study DesignRachael C Aikens, Michael Baiocchi
The American Statistician|August 3, 2016
The Central Role of Bayes' Theorem for Joint Estimation of Causal Effects and Propensity ScoresCorwin Matthew Zigler
The American Statistician|October 12, 2020
Bayesian CausalityPierre Baldi, Babak Shahbaba
The American Statistician|December 19, 2013
A Note on Comparing the Power of Test Statistics at Low Significance LevelsNathan Morris, Robert Elston
The American Statistician|May 1, 2012
On the Assessment of Monte Carlo Error in Simulation-Based Statistical AnalysesElizabeth Koehler, Elizabeth Brown, Sebastien J-P A Haneuse
The American Statistician|August 20, 2025
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance EstimationElizabeth C Chase, Philip S Boonstra, Jeremy M G Taylor
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