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作者：Schwendinger, Florian; Vana, Laura; Hornik, Kurt
作者单位：University of Klagenfurt; Technische Universitat Wien; Vienna University of Economics & Business
摘要：Traditionally, readability prediction has relied on readability formulas, which are based on shallow text characteristics such as average word and sentence length. With recent advances in text mining and natural language processing, more complex text properties can be incorporated into readability prediction models, with papers in the literature suggesting to use up to 200 features for predicting text readability. However, many of the features generated using natural language processing tools ...
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作者：Zhu, Shuying; Shen, Weining; Fu, Haoda; Qu, Annie
作者单位：University of California System; University of California Irvine; Eli Lilly
摘要：Schizophrenia is a severe mental disorder that distorts patients' perception of reality, and its treatment with antipsychotics can lead to significant side effects. Despite the heterogeneity in patient responses to treatments, most existing studies on individualized treatment regimes only focus on optimizing treatment efficacy, disregarding potential negative effects. To fill this gap, we propose a restricted outcome weighted learning method that optimizes efficacy outcomes while adhering to i...
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作者：Basu, Sumanta; Das, Sreyosh; Michailidis, George; Purnanandam, Amiyatosh
作者单位：Cornell University; State University System of Florida; University of Florida; State University System of Florida; University of Florida; University of Michigan System; University of Michigan
摘要：Data-driven network models to measure systemic risk in the financial sector and identify too-connected-to-fail institutions are becoming increasingly common in financial applications. Existing statistical methods for building such networks either take a pairwise approach of fitting many bivariate models or a system-wide approach of fitting penalized regression models. The former strategy is prone to large false positive selection, while the latter suffers from shrinkage bias and lack of formal...
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作者：Chabert-Liddell, Saint-Clair; Barbillonb, Pierre; Donnetc, Sophie
作者单位：Universite Paris Saclay; INRAE; AgroParisTech
摘要：Let a collection of networks represent interactions within several (social or ecological) systems. We pursue two objectives: identifying similarities in the topological structures that are held in common between the networks and clustering the collection into subcollections of structurally homogeneous networks. We tackle these two questions with a probabilistic model-based approach. We propose an extension of the stochastic block model (SBM) adapted to the joint modeling of a collection of net...
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作者：Fogelson, Ari I. F.; Landsiedel, Kirsten E.; Dufault, Suzanne M.; Jewell, Nicholas P.
作者单位：University of London; London School of Hygiene & Tropical Medicine; University of California System; University of California Berkeley; University of California System; University of California San Francisco; University of London; London School of Hygiene & Tropical Medicine
摘要：Test -negative designs have rapidly become an appealing approach to assess disease interventions when randomization is not feasible and specifically used to measure the effectiveness of vaccines in the field (Vaccine 31 (2013) 2165-2168). An innovative extension of the test -negative design was recently used to assess the impact of a mosquito intervention where the intervention was applied at a cluster level with cluster assignment chosen at random, the AWED (applying Wolbachia to eliminate de...
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作者：Drikvandi, Reza; Verbeke, Geert; Molenberghs, Geert
作者单位：Durham University; KU Leuven; Hasselt University
摘要：Standard models for longitudinal data ignore the stochastic nature of time-varying covariates and their stochastic evolution over time by treating them as fixed variables. There have been recent methods for modelling timevarying covariates; however, those methods cannot be applied to analyse longitudinal data when the longitudinal response and the time-varying covariates for each subject are measured at different time points. Moreover, it is difficult to study the temporal effects of a time-va...
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作者：Huang, Penghui; Cai, Manqi; Lu, Xinghua; Mckennan, Chris; Wang, Jiebiao
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：Bulk transcriptomics in tissue samples reflects the average expression levels across different cell types and is highly influenced by cellular fractions. As such, it is critical to estimate cellular fractions to both deconfound differential expression analyses and infer cell type-specific differential expression. Since experimentally counting cells is infeasible in most tissues and studies, in silico cellular deconvolution methods have been developed as an alternative. However, existing method...
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作者：Li, Yang; Wu, Mingcong; Wu, Mengyun; Ma, Shuangge
作者单位：Renmin University of China; Renmin University of China; Shanghai University of Finance & Economics; Yale University
摘要：The online chauffeured service demand (OCSD) research is an exploratory market study of designated driver services in China. Researchers are interested in the influencing factors of chauffeured service adoption and usage and have collected relevant data using a self-reported questionnaire. As self-reported count measure data is typically inflated, there exist challenges to its validity, which may bias estimation and increase error in empirical research. Motivated by the analysis of self-report...
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作者：Jin, Bora; Herring, Amy H.; Dunson, David
作者单位：Johns Hopkins University; Duke University
摘要：In this paper we predict sea surface salinity (SSS) in the Arctic Ocean based on satellite measurements. SSS is a crucial indicator for ongoing changes in the Arctic Ocean and can offer important insights about climate change. We particularly focus on areas of water mistakenly flagged as ice by satellite algorithms. To remove bias in the retrieval of salinity near sea ice, the algorithms use conservative ice masks, which result in considerable loss of data. We aim to produce realistic SSS valu...
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作者：Sanbauer, Charles; Pan, Wei
作者单位：University of Minnesota System; University of Minnesota Twin Cities
摘要：Methods utilizing instrumental variables have been a fundamental statistical approach to causal estimation in the presence of unmeasured confounding, usually occurring in nonrandomized observational data common to fields such as economics and public health. However, such methods traditionally make constricting linearity and additivity assumptions that are inapplicable to the complex modeling challenges of today. The growing body of observational data being collected may benefit from flexible r...
