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作者：Roysland, Kjetil; Ryalen, Pal C.; Nygard, Mari; Didelez, Vanessa
作者单位：University of Oslo; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of Oslo; Norwegian Institute of Public Health (NIPH); University of Bremen; Leibniz Association; Leibniz Institute for Prevention Research & Epidemiology (BIPS)
摘要：We consider continuous-time survival and event-history settings, where our aim is to graphically represent causal structures allowing us to characterize when a causal parameter is identified from observational data. This causal parameter is formalized as the effect on an outcome event of a (possibly hypothetical) intervention on the intensity of a treatment process. To establish identifiability, we propose novel graphical rules indicating whether the observed information is sufficient to obtai...
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作者：Li, Jiayi; Li, Yuantong; Dai, Xiaowu
作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
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作者：Wang, Ruodu
作者单位：University of Waterloo
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作者：Angelopoulos, Anastasios N.
作者单位：University of California System; University of California Berkeley; University of California System; University of California Berkeley
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作者：Karwa, Vishesh; Pati, Debdeep; Petrovic, Sonja; Solus, Liam; Alexeev, Nikita; Raic, Mateja; Wilburne, Dane; Williams, Robert; Yan, Bowei
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; Texas A&M University System; Texas A&M University College Station; Illinois Institute of Technology; Royal Institute of Technology; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; MITRE Corporation; Rose Hulman Institute Technology; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：We construct Bayesian and frequentist finite-sample goodness-of-fit tests for three different variants of the stochastic blockmodel for network data. Since all of the stochastic blockmodel variants are log-linear in form when block assignments are known, the tests for the latent block model versions combine a block membership estimator with the algebraic statistics machinery for testing goodness-of-fit in log-linear models. We describe Markov bases and marginal polytopes of the variants of the...
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作者：Kosmidis, Ioannis; Lunardon, Nicola
作者单位：University of Warwick; Universita Ca Foscari Venezia
摘要：We develop a novel, general framework for reduced-bias M-estimation from asymptotically unbiased estimating functions. The framework relies on an empirical approximation of the bias by a function of derivatives of estimating function contributions. Reduced-bias M-estimation operates either implicitly, solving empirically adjusted estimating equations, or explicitly, subtracting the estimated bias from the original M-estimates, and applies to partially or fully specified models with likelihoods...
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作者：Martin, Ryan
作者单位：North Carolina State University
摘要：We derive confidence intervals (CIs) and confidence sequences (CSs) for the classical problem of estimating a bounded mean. Our approach generalizes and improves on the celebrated Chernoff method, yielding the best closed-form empirical-Bernstein CSs and CIs (converging exactly to the oracle Bernstein width) as well as non-closed-form betting CSs and CIs. Our method combines new composite nonnegative (super) martingales with Ville's maximal inequality, with strong connections to testing by bet...
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作者：Zheng, Xiangyu; Chen, Song Xi
作者单位：Peking University; Peking University; Peking University; Peking University
摘要：Motivated by evaluating the effects of air pollution alerts on air quality, we propose the dynamic synthetic control method for micro-level data with time-varying confounders and spatial dependence under an auto-regressive model setting. We employ the empirical likelihood to define the synthetic control weights, which ensures a unique solution and permits theoretical analysis. The dynamic matching increases the feasibility of matching and enables us to assess the unconfoundedness assumption us...
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作者：Kowal, Daniel R.; Matteson, David S.; Ruppert, David
作者单位：Cornell University
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作者：Gablenz, Paula; Sabatti, Chiara
作者单位：Stanford University; Stanford University
摘要：We consider problems where many, somewhat redundant, hypotheses are tested and we are interested in reporting the most precise rejections, with false discovery rate (FDR) control. This is the case, for example, when researchers are interested both in individual hypotheses as well as group hypotheses corresponding to intersections of sets of the original hypotheses, at several resolution levels. A concrete application is in genome-wide association studies, where, depending on the signal strengt...
