Cong (Clarence) Jiang

249 posts

Cong (Clarence) Jiang

Cong (Clarence) Jiang

@statsCong

Postdoctoral researcher at HSPH 🎓 | PhD in Statistics & Actuarial Science from @UWaterloo | Connect with me on my website ⬇️ https://t.co/TWEi3p0e4e

Katılım Şubat 2017
1.2K Takip Edilen181 Takipçiler
Cong (Clarence) Jiang retweetledi
Lars van der Laan
Lars van der Laan@LarsvanderLaan3·
@0kkus0 Essentially all tools developed for causal inference in RCTs can be adapted to PPI with only minor notational changes. A strong translational treatment and literature review would make that clear and help connect the two literatures rather than separating them.
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Tomoki
Tomoki@0kkus0·
同じラボ(というと厳密ではないが)のポスドクが条件付き PPI, Prediction-Powered Conditional Inference を提案しています。 arxiv.org/pdf/2603.05575 ある種ファジーなPPIに、この指導教官(若手の結構有名な准教授)の専門がゴリゴリ組み込まれているのが面白いです。これでCATEとかもPPIできそう
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Stat.ML Papers
Stat.ML Papers@StatMLPapers·
Prediction-Powered Inference with Inverse Probability Weighting ift.tt/7wfu4qJ
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Gautam Kamath
Gautam Kamath@thegautamkamath·
Derek is the Founder/Chairman and Chief Education Technology Scientist at Squirrel Ai Learning, a top AI-Unicorn from China. He's also chair of the IEEE Standard Group for LLM Agent for AI-powered education. He was the cover story of Forbes China in 2024.
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Tim G. J. Rudner
Tim G. J. Rudner@timrudner·
If you're a senior researcher (i.e., associate professor or more senior), and you'd consider moving to the University of Toronto to take up a Canada Impact+ Research Chair (1 million/year in funding), email me. Discretion guaranteed. ++Please share to help me spread the word!++
Tim G. J. Rudner@timrudner

Canada is investing over $130 million to recruit top researchers from abroad, with up to 1 million/year in research funding.🚀 📢Also: 600 doctoral scholarships and 400 postdoctoral research awards! Join us at UToronto: jobs.utoronto.ca/job/Toronto-Ca… @UofT @VectorInst @TorontoSRI

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Ray Bai
Ray Bai@raybai07·
Grading my final exams for undergrad probability & statistics, and this response to one of my questions seriously made me laugh out loud for minutes. Should I give Extra Credit for the student's response? "Bob, you are a fool amongst fools."😂😂😂
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福田治久
福田治久@LIFE_STUDY_PR·
レセプトデータのvalidation studyを加速化させるためのプラットフォーム(CLEAR Study)を開発しました! 今後,validation studyにも注力してまいります.ターゲット疾患に関するご相談はLIFE Studyウェブサイトから(life.lifestudylab.org)ご連絡ください!
Journal of Epidemiology@J_Epidemi

#J_Epidemi Advanced Publication: The Claims data Learning & Enhancing for Algorithm Refinement (CLEAR) Study: Overview of the Study Design and Baseline Profile Haruhisa Fukuda et al. doi.org/10.2188/jea.JE… @J_Epidemi @LIFE_STUDY_PR

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CTML - Center for Targeted Machine Learning
Thank you to Antonio Remiro Azócar for presenting his talk "Data Fusion for Indirect Treatment Comparisons in Health Technology Assessment" as part of the JICI Lab Seminar Series on 12/2/2025. To learn more about Antonio's work, please scan the QR code.
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Alfredo Canziani
Alfredo Canziani@alfcnz·
My @NYUDataScience colleague, Carlos Fernandez-Granda, released the 700-page textbook «Probability and Statistics for Data Science», where he condenses 10 years of teaching experience at @NYUniversity. 200 exercises, 102 notebooks, 115 videos! 🥳🥳🥳 ps4ds.net
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Edwin S.H. Leong Centre for Healthy Children
✨Join the next Health Systems and Policy Research Collaborative Centre Rounds on July 10 to learn about population preferences on health inequality and explore inequality aversion studies from both Australia and Canada. 🇦🇺🇨🇦 Register: @d90dce05-063d-414f-aefe-c292ff18d8b0" target="_blank" rel="nofollow noopener">events.teams.microsoft.com/event/1eebea4b… @UHN_Research
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Keenan Crane
Keenan Crane@keenanisalive·
Jensen's inequality gives the difference between the average value of a convex function φ, and its value at the center, where both “average” and “center” are defined in terms of some distribution p_X. When the function φ is flat, or the distribution is narrow, they agree.
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medRxiv
medRxiv@medrxivpreprint·
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Quebec Administrative Data medrxiv.org/cgi/content/sh… #medRxiv
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Keenan Crane
Keenan Crane@keenanisalive·
Entropy is one of those formulas that many of us learn, swallow whole, and even use regularly without really understanding. (E.g., where does that “log” come from? Are there other possible formulas?) Yet there's an intuitive & almost inevitable way to arrive at this expression.
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