symposium2023.icsa.org2023 ICSA Applied Statistics Symposium

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2023 ICSA Applied Statistics Symposium
https://symposium2023.icsa.org/
Program - 2023 ICSA Applied Statistics Symposium
https://symposium2023.icsa.org/program/
Committees - 2023 ICSA Applied Statistics Symposium
https://symposium2023.icsa.org/committees/
Registration - 2023 ICSA Applied Statistics Symposium
https://symposium2023.icsa.org/registration/
Accommodation and Logistics
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Awards & Grants - 2023 ICSA Applied Statistics Symposium
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Sponsorship - 2023 ICSA Applied Statistics Symposium
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Career Services - 2023 ICSA Applied Statistics Symposium
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Privacy Policy - 2023 ICSA Applied Statistics Symposium
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Poster Session - 2023 ICSA Applied Statistics Symposium
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Invited Session Proposal - 2023 ICSA Applied Statistics Symposium
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Session List - 2023 ICSA Applied Statistics Symposium
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Short Course Proposal - 2023 ICSA Applied Statistics Symposium
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PDF Causal Inference in Randomized Controlled Trials: New Challenges ... - ICSA
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Gilead - 2023 ICSA Applied Statistics Symposium
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Program Committees Join the Program Invited Session Proposal Short Course Proposal Poster Session Program details Registration Awards & Grants Accommodation and Logistics Registration details Sponsorship Career Services Account Search for: Log In Search for: Home Program Committees Join the Program Invited Session Proposal Short Course Proposal Poster Session Program details Registration Awards & Grants Accommodation and Logistics Registration details Sponsorship Career Services Account REGISTRATION DETAILS KEY DATES Invited Session Proposal Deadline: November 15, 2022 Short Course Proposal Deadline: November 15, 2022 Student Paper Award Competition Deadline: April 1, 2023 Early Bird Registration Deadline: April 15, 2023 Invited Session Abstract Deadline: April 15, 2023 Poster Session Abstract Deadline: May 1, 2023 . Overview The will be held from Sunday, June 11 to Wednesday, June 14, 2023 in Ann Arbor, Michigan. This will be the 32nd annual symposium for the International Chinese Statistical Association (ICSA). The theme of this year’s conference is statistical learning and reasoning from data to knowledge . We hope that this meeting will attract both domestic and international statisticians working in academia, government, and industry. The symposium will offer short courses, invited sessions, and poster presentations, as well as opportunities for networking and recruiting. We will strive to provide a unique conference experience to all our attendees. Please see the Conference Program Here or download the Whova app to access the event (registration required). The main conference venue is Michigan League Building and Rackham Building at the University of Michigan. Travel and Accommodation Information can be found here . More local logistic information can be found here . ————————————————————————————————————————————— Keynote and Banquet Speakers Keynote Speaker Sylva Collins , PhD Director of the Office of Biostatistics, US Food and Drug Administration Keynote Speaker Kathryn Roeder , PhD UPMC Professor of Statistics and Life Sciences, Carnegie Mellon University Banquet Speaker Qiwei Yao , PhD Professor of Statistics, London School of Economics Keynote Speaker Ming Yuan , PhD Professor of Statistics, Columbia University Want to stay informed on this year’s symposium news? JOIN US! International Chinese Statistical Association ICSA Office P.O. Box 3685 Carmel, IN 46082 symposium2023@icsa.org Privacy Policy Copyright © International Chinese Statistical Association Scroll to top We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent. Cookie Settings Accept All Manage consent Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on . Necessary Necessary Always Enabled Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously. Cookie Duration Description cookielawinfo-checkbox-analytics 11 months This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". cookielawinfo-checkbox-functional 11 months The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". cookielawinfo-checkbox-necessary 11 months This cookie is set by GDPR Cookie Consent plugin. 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