| Scheduled Conference | Title | |
| 2020 Meeting of ISDSA | A Bayesian imputation-based sensitivity analysis procedure for unmeasured confounding in mediation analysis | Abstract |
| Xiao Liu | ||
| 2020 Meeting of ISDSA | A comparative study on predictability of component-based approaches to structural equation modeling | Abstract |
| Gyeongcheol Cho, Heungsun Hwang | ||
| 2020 Meeting of ISDSA | A confidence interval of noncentrality compatible with test of a point null | Abstract |
| Hao Wu | ||
| 2020 Meeting of ISDSA | A data science approach for integrating water-related social media, population, and administrative data to reduce health disparities | Abstract |
| Cheng Wang, Richard J. Smith, Shawn P. McElmurry, Paul E. Kilgore | ||
| 2020 Meeting of ISDSA | A dynamic and automated content analysis of the depression concept among Chinese netizens: from 2012 to 2019 | Abstract |
| Mengxin He, Hongyun Liu | ||
| 2020 Meeting of ISDSA | A Monte Carlo confidence interval method for testing measurement invariance | Abstract |
| Hui Li, Hongyun Liu | ||
| 2020 Meeting of ISDSA | A Novel Method for scRNA-seq Data Precise Simulation | Abstract |
| Guoshuai Cai, Fei Qin, Feifei Xiao | ||
| 2020 Meeting of ISDSA | A Structural Equation Modeling approach to Multilevel Reliability Analysis | Abstract |
| Laura Lu, Minju Hong, Seohyun Kim | ||
| 2020 Meeting of ISDSA | Amending a Popular Dataset and Improving Scientific Entity Recognition with No-Schema Distant Supervision | Abstract |
| Qingkai Zeng | ||
| 2020 Meeting of ISDSA | An improved stochastic EM algorithm for large‐scale full‐information item factor analysis | Abstract |
| Siliang Zhang | ||
| 2020 Meeting of ISDSA | Analyzing the Competition Results of Team Taiwan in International Mathematical Olympiad | Abstract |
| Chu Lan Kao | ||
| 2020 Meeting of ISDSA | Balancing exploratory feature selection, computational limitations, and biological knowledge in computational genetics: The data science “venn diagram” in action | Abstract |
| Justin Luningham | ||
| 2020 Meeting of ISDSA | Capitalist Accumulation and Structore of Cryptocurrencies | Abstract |
| Ethan Fridmanski | ||
| 2020 Meeting of ISDSA | Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist | Abstract |
| Daniel James Eck, Charles James Geyer | ||
| 2020 Meeting of ISDSA | Distributionally-Weighted Least Squares | Abstract |
| Han Du, Peter Bentler | ||
| 2020 Meeting of ISDSA | Elaboration of economic cost-efficiency analyses based on equilibrium approach | Abstract |
| Oleksandr Mykolayovich Ocheredko, Anastasiia Abdukarimivna Akhmedova | ||
| 2020 Meeting of ISDSA | Estimation of contextual effect and the impact of ICC in multilevel modeling: Does it matter for estimation methods? | Abstract |
| Hawjeng Chiou | ||
| 2020 Meeting of ISDSA | Estimation of Multilevel Time Series Longitudinal Data | Abstract |
| Laura Lu, Zhiyong Zhang | ||
| 2020 Meeting of ISDSA | Evaluation of the Unsupervised Latent Dirichlet Allocation Model though Simulation | Abstract |
| Chang Che, Kenneth Tyler Wilcox, Zhiyong Zhang | ||
| 2020 Meeting of ISDSA | Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning | Abstract |
| Wenhao Yu, Qingkai Zeng, Meng Jiang | ||
| 2020 Meeting of ISDSA | Fit Difference Between Nonnested SEM Models Given Categorical Data | Abstract |
| Keke Lai | ||
| 2020 Meeting of ISDSA | Hybrid test for publication bias in meta-analysis | Abstract |
| Lifeng Lin | ||
| 2020 Meeting of ISDSA | Implementing Binary Decision Diagrams in R FaultTree Package | Abstract |
| David Silkworth, Jacob Ormerod | ||
| 2020 Meeting of ISDSA | Imputing missing data with machine learning algorithms: A word of caution | Abstract |
| Justin Luningham | ||
| 2020 Meeting of ISDSA | Iterative Least-squares Regression with Censored Data: A Survival Ensemble of Learning Machine | Abstract |
| Md Hasinur Rahaman Khan | ||
| 1 - 25 of 34 Items | 1 2 > >> | |
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