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DTSTART;TZID=Asia/Kolkata:20260324T170000
DTEND;TZID=Asia/Kolkata:20260324T180000
DTSTAMP:20260421T085940
CREATED:20260318T130110Z
LAST-MODIFIED:20260320T045345Z
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SUMMARY:Introduction to Causal Inference - Dr Girish Aras
DESCRIPTION:Joint Department of Mathematics and SCDLDS colloquium\nIntroduction to Causal Inference\nDr Girish Aras \nIIT Bombay \n \n\nAbstract: I will start with a few examples where confounders disrupt classical inference paradigm and motivate why a causal approach is needed. I will review the basic formalism and central ideas of causal inference such as Neyman’s potential outcomes (counterfactuals) and Don Rubin’s foundational assumptions under which causal inference is possible. \n\nAbout the speaker: As a statistician\, I worked in academia\, federal government\, and Biotechnology/Pharma industry. I am visiting adjunct professor at the Mathematics department\, IIT\, Bombay\, currently\, teaching a graduate elective course on Epidemiology. \nI was in the leadership and supervisory positions in the US government (Department of Biostatistics at Center for Drug Development and Research\, Food and Drug Administration)\, and in the pharma industry at Johnson & Johnson (large pharma)\, Amgen (mid-size pharma when I began there) and Esperion (a small biotech). \nEarly years of my career (about 10 years) was in academic positions starting as a lecturer at Bombay University followed by several years at University of California\, Santa Barbara with a brief sojourn to IIT\, Mumbai. I continued methodological research and publishing during my time in the government and industry as well.  \nCurrently\, I offer statistical and regulatory consulting services to pharmaceutical companies specializing in strategic and secondary review of submission modules\, DMC statistical membership\, strategic reviews of protocols\, statistical analysis plans mostly in dermatology\, immunology\, cardiovascular and antiviral therapeutic areas. I maintain a keen research interest in Statistics of Health Sciences\, particularly\, statistical issues related to drug approval process\, causal inference\, clinical trials\, statistics in epidemiology\, observational studies and real-world evidence paradigm based on real-world data.  \nI am an elected Fellow of the American Statistical Association. I have been on the editorial board of Journal of Biopharmaceutical Statistics for several years. \n\n\nDate: Tuesdayday\, Mar 24\, 2026Time: 05:00 PM – 06:00 PM\nVenue: AC-04-LR-302Email: scdlds@ashoka.edu.in\nZoom link: https://zoom.us/j/92763341546?pwd=M7iBhxKpbbXQgKsnZf86eDE7zc9HEQ.1Website: https://scdlds.ashoka.edu.in/
URL:/event/scdlds-coll13/
LOCATION:AC-04-LR-302\, 51²è¹Ý Campus
ATTACH;FMTTYPE=image/png:/wp-content/uploads/2026/03/Girish_Aras.png
ORGANIZER;CN="SCDLDS":MAILTO:ashoka-cdlds@ashoka.edu.in
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