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作者：Bartos, Frantisek; Sarafoglou, Alexandra; Godmann, Henrik R.; Sahrani, Amir; Leunk, David Klein; Gui, Pierre Y.; Voss, David; Ullah, Kaleem; Zoubek, Malte; Nippold, Franziska; Aust, Frederik; Vieira, Felipe Fontana; Islam, Chris-Gabriel; Zoubek, Anton J.; Shabani, Sara; Petter, Jonas; Roos, Ingeborg B.; Finnemann, Adam; Lob, Aaron B.; Hoffstadt, Madlen F.; Nak, Jason; de Ron, Jill; Derks, Koen; Huth, Karoline; Terpstra, Sjoerd; Bastelica, Thomas; Matetovici, Magda; Ott, Vincent L.; Zetea, Andreea S.; Karnbach, Katharina; Donzallaz, Michelle C.; John, Arne; Moore, Roy M.; Assion, Franziska; van Bork, Riet; Leidinger, Theresa E.; Zhao, Xiaochang; Motaghi, Adrian Karami; Pan, Ting; Armstrong, Hannah; Peng, Tianqi; Bialas, Mara; Pang, Joyce Y. -C.; Fu, Bohan; Yang, Shujun; Lin, Xiaoyi; Sleiffer, Dana; Bognar, Miklos; Aczel, Balazs; Wagenmakers, Eric-Jan
作者单位：University of Amsterdam; University of Amsterdam; Universitat Kassel; KU Leuven; University of Gottingen; Hasselt University; Justus Liebig University Giessen; University of Amsterdam; University of Amsterdam; University of Zurich; Nyenrode Business University; University of Amsterdam; Vrije Universiteit Amsterdam; Utrecht University; Centre Hospitalier Le Vinatier; Centre National de la Recherche Scientifique (CNRS); Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Jean Monnet; Universite Lyon 1; CNRS - National Institute for Biology (INSB); University of Amsterdam; Vrije Universiteit Amsterdam; Radboud University Nijmegen; Eotvos Lorand University; Eotvos Lorand University
摘要：Many people have flipped coins but few have stopped to ponder the statistical and physical intricacies of the process. We collected 350,757 coin flips to test the counterintuitive prediction from a physics model of human coin tossing developed by Diaconis, Holmes, and Montgomery (DHM; 2007). The model asserts that when people flip an ordinary coin, it tends to land on the same side it started. Our data support this prediction: the coins landed on the same side more often than not, Pr(same side...
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作者：Lunde, Robert; Levina, Elizaveta; Zhu, Ji
作者单位：Washington University (WUSTL); University of Michigan System; University of Michigan
摘要：An important problem in network analysis is predicting a node attribute using both network covariates, such as graph embedding coordinates or local subgraph counts, and conventional node covariates, such as demographic characteristics. While standard regression methods that make use of both types of covariates may be used for prediction, statistical inference is complicated by the fact that the nodal summary statistics are often dependent in complex ways. We show that under a mild joint exchan...
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作者：Zhang, Shushu; He, Xuming; Tan, Kean Ming; Zhou, Wen-Xin
作者单位：University of Michigan System; University of Michigan; Washington University (WUSTL); University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：Expected shortfall is defined as the average over the tail below (or above) a certain quantile of a probability distribution. Expected shortfall regression provides powerful tools for learning the relationship between a response variable and a set of covariates while exploring the heterogeneous effects of the covariates. In the health disparity research, for example, the lower/upper tail of the conditional distribution of a health-related outcome, given high-dimensional covariates, is often of...
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作者：Catalano, Marta; Fasano, Augusto; Giordano, Matteo; Rebaudo, Giovanni
作者单位：Luiss Guido Carli University; University of Turin
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作者：Huang, Yunxiang; Kim, Hang J.; Huang, Chiung-Yu; Kim, Mi-Ok
作者单位：University of California System; University of California San Francisco; University System of Ohio; University of Cincinnati
摘要：Meta-analysis using individual participant data (IPD) offers many benefits, including greater analytical flexibility, compared to conventional analyses based on aggregate data (AD). However, it is often hindered by restricted access to IPD. Relying solely on available IPD may introduce data availability bias, compromising external validity. Integrating IPD with relevant AD addresses this concern, but existing methods are restrictive, requiring precise knowledge of the IPD-to-AD parameter mappi...
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作者：Hagar, Luke; Stevens, Nathaniel T.
作者单位：McGill University; University of Waterloo
摘要：To design Bayesian studies, criteria for the operating characteristics of posterior analyses-such as power and the Type I error rate-are often assessed by estimating sampling distributions of posterior probabilities via simulation. In this article, we propose an economical method to determine optimal sample sizes and decision criteria for such studies. Using our theoretical results that model posterior probabilities as a function of the sample size, we assess operating characteristics througho...
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作者：Hu, Xiangbin; Wang, Yudong; Ye, Zhisheng; Zhao, Xingqiu
作者单位：National University of Singapore; Hong Kong Polytechnic University
摘要：In many semiparametric models, the infinite-dimensional parameter of direct interest is a probability density, but its nonparametric estimation is usually difficult in the presence of incomplete data. To address this issue, this study promotes phase-type distributions as a method of sieve. Phase-type distributions are dense in the space of nonnegative distributions, closed under minimum, maximum, and convolution, and compatible with the accelerated failure time model. This renders them attract...
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作者：Leon, Sami; Wu, Tong Tong
作者单位：University of Rochester
摘要：In longitudinal research, it is essential to compare sets of trajectories, commonly seen as changes over time in different treatment or patient groups. This article presents a partial linear semiparametric mixed-effects model (PLSMM) for the analysis and comparison of nonlinear longitudinal trajectories with high-dimensional covariates across groups. Our flexible modeling framework can effectively handle complex temporal effects and extensive data while providing statistical inference. This me...
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作者：Li, Jiguang; Gibbons, Robert; Rockova, Veronika
作者单位：University of Chicago; University of Chicago
摘要：Multivariate Item Response Theory (MIRT) is sought-after widely by applied researchers looking for interpretable (sparse) explanations underlying response patterns in questionnaire data. There is, however, an unmet demand for such sparsity discovery tools in practice. Our article develops a Bayesian platform for binary and ordinal item MIRT which requires minimal tuning and scales well on large datasets due to its parallelizable features. Bayesian methodology for MIRT models has traditionally ...
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作者：Aue, Alexander
作者单位：University of California System; University of California Davis
