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Zihang Lu Profile
Zihang Lu

@Zihang_Lu

Followers
38
Following
48
Media
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Statuses
20

Ontario, Canada
Joined May 2015
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@ENAR_ibs
ENAR
10 months
It's Tutorial Tuesday! Join Drs. Zihang Lu and Kuan Liu for a hands-on tutorial on longitudinal data analysis. Learn methods for clustering longitudinal features and causal inference with time-varying exposures, supported by real-world case studies and R code. #ENAR2025
@ENAR_ibs
ENAR
10 months
It's Tutorial Tuesday! Join Dr. Ilya Lipkovich for his tutorial on cutting-edge methods for identifying & evaluating Heterogeneous Treatment Effects, including subgroup identification, estimation of conditional average treatment effects, and individualized treatment regimens in R
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@KuanLiu2
Kuan Liu 刘宽
1 year
@Zihang_Lu and I have an open CANSSI postdoctoral position. If you are interested in Bayesian statistics with applications in clinical research, feel free to reach out to us to learn more!
@CANSSIOntario
CANSSI Ontario
1 year
📢 Upcoming Opportunity: @CANSSIOntario Postdoctoral Fellowship in Statistics. It provides salary support (up to $70K) for postdocs in all areas of statistical sciences. Due Dates Faculty Projects: Oct 2024 Postdocs: Nov 2024–Jan 2025 ℹ️ https://t.co/MVSsCJ4BSW @CANSSIINCASS
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@KuanLiu2
Kuan Liu 刘宽
3 years
📢APPLY! @Zihang_Lu and I have proposed a project to work on developing new Bayesian methods for longitudinal EHR. The postdoc will also work with Dr. David Stephens from McGill. I will widely share the position next week, at the meantime see https://t.co/3eKZhFVblY for details.
@CANSSIOntario
CANSSI Ontario
3 years
Currently accepting applications for the @CANSSIOntario Postdoctoral Fellowship in Statistics. This program provides salary support to postdocs whose research projects deepen our understanding of statistical sciences. 💁🏾 https://t.co/yDbSCQNfdK
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@daniela_witten
Daniela Witten
4 years
My 2nd “written by witten” column is out. Thanks to @InstMathStat for giving me a platform. Also, I hope the fact that it was published on April 1 doesn’t detract from the gravitas of this piece! https://t.co/wWpJaTFAum
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@EpiEllie
Dr Ellie Murray, ScD
4 years
I am often asked how it is that I can talk openly about my work & myself on here, without being afraid of negative feedback. This is an important question, and the answer is: practice. A short thread on how I’m learning to embrace critique and criticism.
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@DFisman
David Fisman
6 years
Heterogeneity: all 4 of these countries have similarly advanced healthcare systems, and all had similar sized (measured) epidemics this morning (21,000-26,000 known cases).
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@DrAliSKhan
Dr. Ali Khan
6 years
#SARS2019p CFR Interesting how much Italy is an outlier. Lots of testing, age structure, not overwhelm healthcare system, public health response, & intangibles seem to lead to the lower cluster of 0.5-1.5%
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@XihongLin
Xihong Lin
6 years
In this local COVID-19 talk I gave yesterday, I provided background, summarized and interpreted the main findings of our analysis of 25,000+ cases in Wuhan. I provided several take home messages and practical recommendations, especially for handling the situation in US
@HarvardBiostats
Harvard Biostatistics
6 years
WATCH 3/13/20 webinar: @XihongLin presents the "Analysis of 25, 000+ COVID-19 cases in Wuhan: Epidemiological characteristics and effects of non-pharmaceutical interventions" https://t.co/x1eKgKManc. Updated slides: https://t.co/ZJ95uXpC7j #COVIDー19 #coronavirus @HarvardChanSPH
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@seanjtaylor
Sean J. Taylor
6 years
When you start your research project with a data set rather than a research question.
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@daniela_witten
Daniela Witten
6 years
PLEASE RETWEET: Jacob Bien and I are hiring a post-doc!!!! It's the perfect set-up: ✅live in sunny Los Angeles ✅work on interesting statistical methodology problems ✅collaborate with Jacob and me!! Submit your application via the link by MARCH 15!!!
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@XiaoLiMeng1
Xiao-Li Meng
6 years
A waking-up reflection: Deep learning without deep understanding may get us into deep trouble. (Re)Introducing HDSR, starting from the summary: Data Science: An Artificial Ecosystem https://t.co/ZPnZQ4YTDF
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hdsr.mitpress.mit.edu
Issue 1.1 / Summer 2019
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@eredmil1
Elissa M. Redmiles, Ph.D.
6 years
Are you going on the CS job market this year? @NicolasPapernot and I put together a (hopefully) comprehensive guide to navigating the process. Including lots of resources & examples! https://t.co/YT8F82sdRh
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@harvard_data
Harvard Data Science Initiative
6 years
From the first issue of the HDSR Radu Craiu (@rvcraiu) shares the highs and very highs of searching for and hiring in @UofTStatSci that elusive Data Scientist who has  her/his feet firmly and expertly planted in two fields. https://t.co/gWNJJJ8O30
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@srikosuri
Sri Kosuri
7 years
My advice for those applying to various new investigator awards along with a couple of my applications from the NIH New Innovator (DP2) and Searle Scholar Awards. [1/6]
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@docmilanfar
Peyman Milanfar
7 years
An interesting study reported in @nature based on analysis of more than 65 million papers, patents and software products, showing that smaller teams tend to produce disruptive new ideas and concepts, whereas larger teams tend to develop existing ones. https://t.co/d1c6BsHNuC
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@XihongLin
Xihong Lin
7 years
Essential elements for high-impact scientific writing
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@XihongLin
Xihong Lin
7 years
A rapid rise (from 25 to 60% since the 1960s) of scientists who spend their entire career only as supporting authors without having led a publication. The fraction of entering researchers who achieve full careers has diminished. The class of temporary scientists has escalated.
@PNASNews
PNASNews
7 years
A growing number of scientists publish once and disappear from the record, suggesting that they have left academia. Article source: https://t.co/KEyA6UpjXR
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@Zihang_Lu
Zihang Lu
7 years
The Economist explains: Why so many World Cup sponsors are from China https://t.co/cRDlW5umGu via @TheEconomist
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economist.com
Many Western companies have withdrawn their support
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