The 2024 ISDSA Meeting will be held in Vienna, Austria from July 21-24, 2024.
meeting:2020:index
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meeting:2020:index [2020/05/25 18:14] ISDSA [Recorded presentations] |
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| * [[https://drive.google.com/file/d/10NOW1RwOO40haBDTBr80Y0YQX11JSbIV/view?usp=sharing|Elaboration of economic cost-efficiency analyses based on equilibrium approach]] by Oleksandr Ocheredko and Anastasiia Akhmedova Vinnytsya National Medical University | * [[https://drive.google.com/file/d/10NOW1RwOO40haBDTBr80Y0YQX11JSbIV/view?usp=sharing|Elaboration of economic cost-efficiency analyses based on equilibrium approach]] by Oleksandr Ocheredko and Anastasiia Akhmedova Vinnytsya National Medical University | ||
| * [[https://drive.google.com/file/d/1iWtKR_c-1jcfKFH0DFmaV7elHXN7QBs7/view?usp=sharing|A Monte Carlo confidence interval method for testing measurement invariance]] by Hui Li and Hongyun Liu, Beijing Normal University | * [[https://drive.google.com/file/d/1iWtKR_c-1jcfKFH0DFmaV7elHXN7QBs7/view?usp=sharing|A Monte Carlo confidence interval method for testing measurement invariance]] by Hui Li and Hongyun Liu, Beijing Normal University | ||
| + | * [[https://drive.google.com/file/d/1fbRX8FnhwIjnnpJlSwT-z-PuwBRxt-oA/view?usp=sharing|Iterative Least-squares Regression with Censored Data: A Survival Ensemble of Learning Machine]] by Md Hasinur Khan, University of Dhaka | ||
| + | * [[https://drive.google.com/file/d/1sTdPWrojinuYHEHueIDYjw16zuwNZQSh/view?usp=sharing|Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist]] by Daniel Eck, Department of Statistics University of Illinois and Charles Geyer, Department of Statistics University of Minnesota | ||
| + | * [[https://drive.google.com/file/d/1C1UE30brs91zoHt8A1nTRBUYHwrwNmvT/view?usp=sharing|Treatment effects on an outcome under nonlinear modeling]] by Kai Wang, University of Iowa | ||
| + | * [[https://drive.google.com/file/d/1HqWdZM02RD-J1nThWTl3Z6tlDjSDHO7y/view?usp=sharing|TUBE: Embedding Behavior Outcomes for Predicting Success]] by Daheng Wang, Tianwen Jiang, Nitesh Chawla, and Meng Jiang, University of Notre Dame | ||
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