Cong (Clarence) Jiang @statsCong
Postdoctoral researcher at @UMontreal 🎓 | PhD in Statistics & Actuarial Science from @UWaterloo | Connect with me on my website ⬇️ https://t.co/XrIsQ2XWCX Joined February 2017-
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Done another semester teaching causal inference🙂. Updated my course slides, added survival data, labs, corrected more typos this time. Close to 800 pages now. Always more to update next year. www2.stat.duke.edu/~fl35/CausalIn…
Thrilled and honoured to receive the 2024 Canadian Journal of Statistics Award alongside Michael and Mary! Huge thanks to the @SSC_stat for this recognition. Grateful for the support and encouragement from colleagues and mentors along the way! #Statistics #Gratitude
Thrilled and honoured to receive the 2024 Canadian Journal of Statistics Award alongside Michael and Mary! Huge thanks to the @SSC_stat for this recognition. Grateful for the support and encouragement from colleagues and mentors along the way! #Statistics #Gratitude
2/2 Les lauréats de cette année sont are Cong Jiang de l' Université d'État de Géorgie, Michael P. Wallace de l'Université Waterloo, and Mary E. Thompson de l'Université Waterloo pour leur article intitulé « Dynamic treatment regimes with interference ».
Tomorrow! Register to attend in person or online: stat.ubc.ca/van-eeden-semi… #ethics #ai #datascience #statistics @UBC @CANSSIOntario @CANSSIPrairies @CANSSIQuebec @AtlanticCanssi
Dr. Hongtu Zhu from our department was recently a guest on the Practical Significance Podcast from @AmstatNews to discuss the implications of #AI for our profession. Check it out here: tinyurl.com/ypkvraf9
Applying statistical learning theory to deep learning ift.tt/icILRPD
Happy to see my paper with @pengding00 and Anqi Zhao @DukeU "Covariate adjustment in randomized experiments with missing outcomes and covariates" is out doi.org/10.1093/biomet… This 8-pages paper gives a simple and clean solution to a prevalent practical problem.
casualinfer.libsyn.com/targeted-learn…
casualinfer.libsyn.com/targeted-learn… https://t.co/6zotBwOVpY
This tweet is a good opportunity to share the below paper, where we show that relying on logistic regression for effect estimation leads to substantial bias compared to modern off-the-shelf non-parametric approaches across a large number of scenarios degruyter.com/document/doi/1…
This tweet is a good opportunity to share the below paper, where we show that relying on logistic regression for effect estimation leads to substantial bias compared to modern off-the-shelf non-parametric approaches across a large number of scenarios degruyter.com/document/doi/1…
A new revised version of @smueller, Ang Li & @yudapearl's paper is here. Bounding individual effects by combining experimental & observational data, & structural information. Paper: ftp.cs.ucla.edu/pub/stat_ser/r… #causality #causalinference #causaltwitter
InstantID LCM + Multi-controlnet is out huggingface.co/spaces/Instant… super fast generations in just 5 steps
2/5 Tue 11:45 am (Poster Session 1) "Estimating Causal Effects Identifiable from Combination of Observations and Experiments" (joint work with @YonghanJung , @ildiazm, and Jin Tian) The task investigated in this paper is to develop a family of estimators for identifiable…
Save the Date! The 2024 Canadian Student Statistics Conference (CSSC) will take place on Saturday, June 1st, 2024, at @MemorialU in St. John’s. Registration opens soon!
Here are my notes for Learning in Games and Games in Learning cis.upenn.edu/~aaroth/GamesI… (The class is here and links to youtube recordings for the various lectures: mlgametheory.com). We covered lots of topics, both classic and modern. Here is some of it. 🧵
Current date = date of birth + age. Demographers have long known that each of the three can be important factors influencing health. e,g sciencedirect.com/science/articl…. Many estimand fans fondly imagine that matching on the last of the three is all that matters.
The December issue of Significance is now available to read online - print copies will be reaching subscribers soon! ow.ly/IfF950QeUOc #statistics
"Causal inference is not just a statistics problem" open access paper in @JStatEd by Lucy D’Agostino McGowan @LucyStats, Travis Gerke & Malcolm Barrett doi.org/10.1080/269391… @AmstatNews #statstwitter @tandfSTEM #causalinference #epitwitter
Excited to present my research on efficient estimation of COVID-19 vaccine effectiveness under the test-negative design at CRM StatLab's annual scientific meeting. Join me to explore this vital topic in statistical research and discover its potential impact on public health. 📊🔬
Waterloo's been hiring some excellent people lately
Waterloo's been hiring some excellent people lately
Statistics Seminar - Everyone welcome
Adeline @adeline_bowman_
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Yiyuan Huang @yiyuan_huang
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Tami @matton_tami
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【超強力】第7�.. @7Chakra_Guid
604 Followers 825 Following 第7チャクラが刺激され驚くほどの特殊能力が覚醒し、才能を活かすと共に高次元からの導きで人生が好転し、自分だけでなく世界にも好影響を与える人が増える、963Hz使ったヒーリング音楽 【総主→@Da_vinchi_jinja】
DBingham @D_Bingham
302 Followers 633 Following Statistician at SFU. Interested in Bayesian statistics, uncertainty quantification, and links between stats and the physical sciences. He/him/his.
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Andreas Kirsch 🇮�.. @BlackHC
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Yuan Bian @_yuanbian
104 Followers 329 Following PhD Candidate in Statistics @WesternU | Alumni @UofT, @SinaiHealth, and HFLS | Interests in statistical learning and incomplete data.
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CLaE @leafs_s
25K Followers 10K Following Neuroscience,Insular cortex, Neurobiology RT≠endors I do not reply to direct messages mstdn: @[email protected] Bluesky: @claeneuro.bsky.social
francesca dominici @francescadomin8
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Chris Coffey @proffcoff
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Jeremy Rubin @super_jrub
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Sarah Lotspeich (She/.. @SarahLotspeich
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101K Followers 1K Following Jewish Israeli. Father. Partner. Zionist. Assistant Professor @Columbia_Biz
Delip Rao e/σ @deliprao
46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈
Jürgen Schmidhuber @SchmidhuberAI
107K Followers 0 Following Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.
Kevin Patrick Murphy @sirbayes
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Alfredo Canziani @alfcnz
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Dmytro Mishkin 🇺�.. @ducha_aiki
18K Followers 592 Following Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working.
Matthias Niessner @MattNiessner
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hutlab @hutlab
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139K Followers 1K Following Don't be fooled by the rocks that I got, I'm still Oded from the block. TED: https://t.co/rcOm9TSTf5 Huberman Lab Podcast: https://t.co/xZTNlx9nbi
Segata Lab @cibiocm
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Sean Gibbons 🦠💩.. @gibbological
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Jonathan Jacobs 🧬�.. @bioinformer
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Nili Kaplan-Myrth MD .. @nilikm
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Stat.ML Papers @StatMLPapers
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Congrats! Cong!🎉
Thrilled and honoured to receive the 2024 Canadian Journal of Statistics Award alongside Michael and Mary! Huge thanks to the @SSC_stat for this recognition. Grateful for the support and encouragement from colleagues and mentors along the way! #Statistics #Gratitude
@statsCong @SSC_stat Congratulations!!! Amazing work!!!
Dr. Hongtu Zhu from our department was recently a guest on the Practical Significance Podcast from @AmstatNews to discuss the implications of #AI for our profession. Check it out here: tinyurl.com/ypkvraf9
Applying statistical learning theory to deep learning ift.tt/icILRPD
This is amazing. Python code for ``A first course in causal inference'': arxiv.org/pdf/2305.18793… Thank you, Apoorva.
Done with python code to accompany all chapters of @pengding00's textbook. IV and matching are not well supported in python, so I might spin those out into a package eventually. github.com/apoorvalal/din…
I just posted my notes for Stat 230 ``Linear Models'' to ArXiv: arxiv.org/pdf/2401.00649… It covers the linear model and many extensions. I will teach it again in the spring and continue polishing the notes. Comments are welcome.
Happy to see my paper with @pengding00 and Anqi Zhao @DukeU "Covariate adjustment in randomized experiments with missing outcomes and covariates" is out doi.org/10.1093/biomet… This 8-pages paper gives a simple and clean solution to a prevalent practical problem.
Highlight from @ENAR_ibs yesterday! Our biostatistics practicum student Chen Chen @UofT_dlsph, jointly mentored by @Zihang_Lu and I, presented her work on longitudinal cognitive trajectory modelling and phenotyping using CIHI data. 🔥🔥🔥
Introducing our @ENAR_ibs session tomorrow!
🎉 👏 Excited to announce our 2024 COPSS Emerging Leader Award (ELA) winners. The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field.
casualinfer.libsyn.com/targeted-learn…
🎙️ I learned a ton from @mark_vdlaan in this discussion! Some things it has me thinking more about: 🕳️ The "causal gap" -- distinguishing between the causal estimand vs the statistical estimand 🤸♀️ The benefits of considering both simple parametric and flexible candidate models
This tweet is a good opportunity to share the below paper, where we show that relying on logistic regression for effect estimation leads to substantial bias compared to modern off-the-shelf non-parametric approaches across a large number of scenarios degruyter.com/document/doi/1…
@ildiazm Yes, I'm fixated on logistic regression without apologies. That's because of the parsimony it provides as seen in tons of analyses. ORs, for no magical or philosophical reason, tend to be surprisingly constant, so fewer interactions need to be entertained. Purely pragmatic.
@marinkazitnik a force of nature @harvard_data @HarvardDBMI
InstantID LCM + Multi-controlnet is out huggingface.co/spaces/Instant… super fast generations in just 5 steps
𝗖𝗮𝘂𝘀𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗻𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲 Join the discussion tomorrow! Neuroscience & Philosophy Salon with @ProfLaurenRoss and @DaniSBassett Feb 2 at noon (eastern USA) Register: umd.zoom.us/meeting/regist…
Thrilled to announce two new members of @BrownBiostats faculty 🎉 Rebecca Hubbard and Cory Zigler will be joining us this summer, together with 3 other terrific new hires in @Brown_SPH You can read about them here ... sph.brown.edu/news/2024-01-3…
Meet another one of our panelists, Professor @KuanLiu2! Don't miss the panel discussion on February 13th from 4:30pm to 6:00pm for a dialogue on the impact of pandemic education disruption on mental health outcomes in children and youth. Register here: bit.ly/48VXEsM
Happy holidays from our lab to yours!
2/5 Tue 11:45 am (Poster Session 1) "Estimating Causal Effects Identifiable from Combination of Observations and Experiments" (joint work with @YonghanJung , @ildiazm, and Jin Tian) The task investigated in this paper is to develop a family of estimators for identifiable…
Save the Date! The 2024 Canadian Student Statistics Conference (CSSC) will take place on Saturday, June 1st, 2024, at @MemorialU in St. John’s. Registration opens soon!
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