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Preprints

These preprints are a collection of ArXiv papers, SocArXiv papers, and Working Papers written by CSSS members. For information on how to link your ArXiv/SocArXiv papers with CSSS click here

A Diagnostic Tool for Functional Causal Discovery

Shreya Prakash, Fan Xia, Elena Erosheva
Published 6/11/2024
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Data-adaptive exposure thresholds for the Horvitz-Thompson estimator of the Average Treatment Effect in experiments with network interference

Vydhourie Thiyageswaran, Tyler McCormick, Jennifer Brennan
Published 5/24/2024
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Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models

Kentaro Hoffman, Stephen Salerno, Jeff Leek, Tyler McCormick
Published 5/22/2024
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Pure Significance Tests for Multinomial and Binomial Distributions: the Uniform Alternative

Michael D. Perlman
Published 4/19/2024
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Robustly estimating heterogeneity in factorial data using Rashomon Partitions

Aparajithan Venkateswaran, Anirudh Sankar, Arun G. Chandrasekhar, Tyler H. McCormick
Published 4/2/2024
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From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives

Shuxian Fan, Adam Visokay, Kentaro Hoffman, Stephen Salerno, Li Liu, Jeffrey T. Leek, Tyler H. McCormick
Published 4/2/2024
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Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms

Tsuyoshi Kunihama, Zehang Richard Li, Samuel J. Clark, Tyler H. McCormick
Published 3/18/2024
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Non-robustness of diffusion estimates on networks with measurement error

Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick, Samuel Thau, Jerry Wei
Published 3/8/2024
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Dempster-Shafer P-values: Thoughts on an Alternative Approach for Multinomial Inference

Kentaro Hoffman, Kai Zhang, Tyler McCormick, Jan Hannig
Published 2/26/2024
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On Data Analysis Pipelines and Modular Bayesian Modeling

Erin Lipman, Abel Rodriguez
Published 2/6/2024
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