김양우 @yangwookim0628
Joined February 2021-
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James Robins is back for Key Topics in Causal Inference (KTCI)! Robins, MD is Mitchell L. & Robin LaFoley Dong Prof. Epidemiology @HarvardEpi. He researches observational studies & randomized trials w/ time-varying exposure. Register to learn from James: causalab.sph.harvard.edu/courses/
Registration for the highly anticipated #2024CAUSALabcourses is now OPEN! Join us this summer @HarvardChanSPH or #online. Secure your seat today! Visit our website for more information about enrollment and how to register causalab.sph.harvard.edu/courses/ #causalab #harvardchan
Our protocol on Prognostic factors for return to work following knee arthroplasty is now published, take a look here: cochranelibrary.com/cdsr/doi/10.10…
“The practical question to ask, then, about a new piece of research, is not ‘has anyone ever conducted a similar study before?’ but ‘does this new research add to the literature in any way?’” — How to Read a Paper by Trisha Greenhalgh a.co/gFHLY8i
Just gave a guest lecture on Bayesian Causal Inference at Williams College, with slides and R code at doi.org/10.7910/DVN/JO… which is an introduction to our review paper royalsocietypublishing.org/doi/10.1098/rs… @fabri_mealli @FanLiDuke (I never taught any Bayesian Statistics at Berkeley.)
Lack of general code is one main barrier to Bayesian causal inference. Peng Ding gave some simple Stan code and intro slides on Bayesian causal inference based on our review paper. A long version is here: www2.stat.duke.edu/~fl35/teaching…
Lack of general code is one main barrier to Bayesian causal inference. Peng Ding gave some simple Stan code and intro slides on Bayesian causal inference based on our review paper. A long version is here: www2.stat.duke.edu/~fl35/teaching…
Three practical ways to get better at getting better. s.hbr.org/3c6B46N
IARC researchers will discuss the global #cancer burden due to occupational exposures during @icoh2024. IARC is a 🌍leader in occupational health research. Recent IARC work in this area includes studies on exposure to chrysotile asbestos &☀️UV radiation iarc.who.int/news-events/ia…
가구 소득 → (균등화 처리) → 균등화 개인 소득 kostat.go.kr/menu.es?mid=b8…
Pygformula for #causalinference now available on our GitHub! This comprehensive package is the 1st to implement #gformula in Python. Development led by Postdoc Fellow @JingLi17609667. GitHub repository: github.com/CausalInferenc… Package documentation: pygformula.readthedocs.io
Authors, be careful not to mix up #pollutant and #contaminant. Contamination is merely the presence of a substance where it should not be, with no connotation of harm. Pollution, on the other hand, is contamination that can or does cause adverse health effects. #TuesdayTip
First FEP-CAUSAL collab paper is out @AmJEpi! pubmed.ncbi.nlm.nih.gov/38576166/ Target trial emulation used to estimate First Episode Psychosis treatment. Findings support aripiprazole & paliperidone as first-line therapy. Led by CAUSALab researchers @AlejandroSzmul1 & @_MiguelHernan.
If you could ask Judea Pearl only one question, what would it be? #causaltwitter #causality
My recommended R packages for geospatial analyses. PLUS: how to get €50k (free) to launch a geospatial business, recommended geospatial courses, top websites for free geospatial data, and more. Here's everything I wrote about this week:
The typical response to an overwhelming workload is to put in longer hours. Don't do that. s.hbr.org/3HhT3pc
Here are open access method/stats resources I have collected to share with students when they ask. I find them easy to follow. Please share more so we all can have free stuff. P.S. Some people on this site might have made these resources but I don't know to tag them.
How to combine Multiple Plots in R finnstats.com/2022/11/19/how…
Yes, you do have enough time to read more books. Eliminate distractions to make it happen. s.hbr.org/3uQgJ0R
In political science, it’s common to interpret the substantive effect for statistically significant point estimates. We call that “magnitude-and-significance.” We wrote a little essay about that practice: carlislerainey.com/papers/meaning…
In political science, it’s common to interpret the substantive effect for statistically significant point estimates. We call that “magnitude-and-significance.” We wrote a little essay about that practice: carlislerainey.com/papers/meaning… https://t.co/nTcYLNLBfp
GIS Analyst To GIS Data Scientist — 8 Things You Should Know. by @stephenisthere buff.ly/43M1CTr
SusanJoseph @3QciGTd2kf98K
2 Followers 137 Following
DoreenWhyet @jbW5X4CD6u17Yb4
1 Followers 100 Following
Emma 😏 @EmmaKinslee484
4 Followers 575 Following Dеsirous enсhantress cарtivated by insаtiаblе desirе
JadeJolt @jolt_jade64561
18 Followers 2K Following
Raven @Raven1657734
2 Followers 254 Following
Bella Short @BellaShort25826
135 Followers 3K Following
HSC @HSC231016
300 Followers 275 Following 건강의 사회적 성격을 성실하게 분석하고, 사람들의 입장에서 건강에 대한 새로운 지식을 쌓아나가고자 합니다. 처음 뵙겠습니다. 잘 부탁드립니다. Health Socialist Club, 줄여서 HSC입니다.
Elba @harriselba28
262 Followers 3K Following
Darnell Vang @DarnellVan37180
111 Followers 3K Following
Annie @fatback023
52 Followers 2K Following Post90s/Travel/Music/Shopping/Gourmet/Sports/cryptocurrency/single
Mamie @mamie59parsley
225 Followers 3K Following
The {gt}/great_tables.. @gt_package
3K Followers 3K Following Table generation packages for R and Python. Helping you make beautiful tables since 2018. Join our wonderful Discord at https://t.co/QImzxY4SM8
fafa.👩🏻💻 @DS_Fafa_
29K Followers 18K Following 👩🏻💻 Senior Customer Insights Director. 👋 I tweet mostly about #DataScience with ☕️
Sung Kyun Park @SungKyunPark1
250 Followers 208 Following I am an epidemiologist who is interested in how environmental chemicals influence our health.
Fan Li @FanLiDuke
569 Followers 94 Following Professor@Duke, Statistician, Data Scientist, Causal Inference researcher
ICOH 2024 @icoh2024
253 Followers 101 Following 📝34th ICOH International Congress 📆April, 28th - May, 3rd 2024 📍Marrakesh, 🇲🇦
CLeaR-Conference on C.. @Conf_CLeaR
2K Followers 201 Following 3rd conference on Causal Learning and Reasoning (CLeaR) April 1-3 2024, Los Angeles, USA @UCLA Contact: [email protected]
Nick HK @nickchk
19K Followers 342 Following Econ prof @SeattleU. Book The Effect https://t.co/3F41M6EzEb out now! Check my pinned thread for all my projects. Substack https://t.co/YYrIUc8JPC
Adam Grant @AdamMGrant
852K Followers 965 Following Organizational psychologist @Wharton. #1 NYT bestsellers: HIDDEN POTENTIAL, THINK AGAIN. Podcasts: Re:Thinking & WorkLife @TEDTalks. Diver.
A. Jordan Nafa @ajordannafa
6K Followers 783 Following Bayesian Statistician and Data Scientist in the Video Game Industry | Bayes, Causality, Decision Theory, Stan, R, Python | PhD Candidate at @UNT_PSCI
Sara Adar @dubadar
609 Followers 577 Following Environmental health researcher, air pollution, noise, Associate Professor/Associate Chair of Epidemiology @umichsph, mom, lover of the great outdoors.
Aleksander Molak (at .. @AleksanderMolak
2K Followers 1K Following Causality for Machine Learners: https://t.co/n5xASwzYSu Podcast: https://t.co/4FWOtSWRDj Best-Selling Author || Advisor Teaching Causality @ Oxford TLV/WAW
Johns Hopkins Center .. @JHU_CGVS
5K Followers 503 Following As part of @JohnsHopkinsSPH, we conduct research and use advocacy to implement evidence-based, equitable policies and programs that will prevent gun violence.
Elsevier @ElsevierConnect
118K Followers 2K Following We help researchers and healthcare professionals advance science and improve outcomes for the benefit of society.
guido imbens @guido_imbens
4K Followers 93 Following
하종강 @labordream
28K Followers 8K Following 성공회대학교 노동아카데미 주임교수(& 안산노동대학 학장), 유성기업, KEC, 세종호텔, 아사히글라스, 옵티칼하이테크 노동자들을 응원합니다. 특별한 맞팔 기준은 없습니다. 짬 날 때 조금씩 합니다.
Joy Shi @joy_shi1
611 Followers 369 Following Instructor @HarvardEpi and @CAUSALab. Interested in epidemiology, causal inference (target trial emulation, instrumental variables) and pedagogy. 🇨🇦 She/her
Mark van der Laan @mark_vdlaan
2K Followers 129 Following Jiann-Ping Hsu/Karl E Peace Professor in Biostatistics & Statistics @UCBerkeley. Targeted (machine) Learning for #causalinference in #datascience with @tlverse.
Lucy D’Agostino McG.. @LucyStats
17K Followers 338 Following Biostatistician • Assistant Prof @WakeForestStats • Postdoc @jhubiostat • PhD @vandy_biostat • SoMe Associate Editor @AmjEpi 🎙 @casualinfer • @WomeninStat
Lars van der Laan @LarsvanderLaan3
507 Followers 283 Following 3rd year Ph.D. Student @uwstat; visiting student researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; semiparametrics; causal inference.
Andrej Karpathy @karpathy
978K Followers 904 Following 🧑🍳. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥
BMJ Student @BMJStudent
30K Followers 2K Following Supporting you from your first day of medical school, to making the step up to junior doctor.
Gary Collins 🇪🇺 @GSCollins
10K Followers 988 Following Prof of Med Stats @UniofOxford | Director @CSMOxford & UK @EQUATORNetwork | @TRIPODStatement +AI | BMJ Stats Ed | 🚴
Jin-Hwan Kim @jhkim0416
189 Followers 758 Following Health System Research M.D., Ph.D. in Health Policy Threads https://t.co/lxWbkkeA7y Website https://t.co/SfptcEGjua 한국의 지역신문 / Pinned Tweet
COSH Network @NationalCOSH
7K Followers 3K Following Organizing for worker health, safety & sharing their #WorkedUp stories. Abogamos por la salud/seguridad de los trabajadores, publicamos sus historias laborales
HSC @HSC231016
300 Followers 275 Following 건강의 사회적 성격을 성실하게 분석하고, 사람들의 입장에서 건강에 대한 새로운 지식을 쌓아나가고자 합니다. 처음 뵙겠습니다. 잘 부탁드립니다. Health Socialist Club, 줄여서 HSC입니다.
Christoph Molnar @ChristophMolnar
30K Followers 1K Following Author of Interpretable Machine Learning https://t.co/gJKlTA2deP | Newsletter: https://t.co/6fQuMr8yI8
Eiko Fried @EikoFried
36K Followers 2K Following Associate Prof @UniLeiden. Mental health & data science. Building early warning system for depression (https://t.co/rw3oC2Kol0).
Demetri @PhDemetri
19K Followers 517 Following Mathematical bohemian par excellence. It’s all just a tool, pick one, punch out, cash your cheque.
Chelsea Parlett-Pelle.. @ChelseaParlett
38K Followers 921 Following 📊Statistician, 👩🏻🏫Data Science Prof, ✍️Stats Communication. #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
Tanya Shapiro @tanya_shapiro
15K Followers 986 Following Warning: Tweets May Contain Graphic Content 📊 • Data Viz & Analytics • Freelancer • She/Her 🏳️🌈
Albert Rapp @rappa753
13K Followers 134 Following 🎓 Math PhD student & freelancer 👨🏫 Bite-sized insights on dataviz, web dev & data science with R at https://t.co/M34b5BzHTD
🔥Kareem Carr | Sta.. @kareem_carr
172K Followers 407 Following Stats PhD student @Harvard • Follow me if you’re curious about statistics and data science.
ECDC Training @ECDCPHT
3K Followers 147 Following The Public Health Training Section at ECDC supports and coordinates training activities for Disease Prevention & Control workforce in the European Union.
Madhu Pai, MD, PhD @paimadhu
96K Followers 4K Following Inaugural Chair, Department of Global & Public Health @McGill_SPGH. Canada Research Chair in Epi & Global Health. Editor @PLOSGPH. Tweets: own views. He/him.
Tedros Adhanom Ghebre.. @DrTedros
2.0M Followers 2K Following Director-General of the World Health Organization. Retweets are not endorsements
Rosana Ferrero 📈�.. @RosanaFerrero
41K Followers 5K Following 📊 PhD, Statistics + Data Science + Machine Learning + Biology/Ecol 😉 Haz que tus datos sean útiles! 🎓 Directora académica y Docente 🏢 Consultora 💙 #RStats
Meaghan Kall @kallmemeg
62K Followers 2K Following Epidemiologist @UKHSA, mom, wife, . Born 🇺🇸 Migrated 🇬🇧. Tweet about HIV & COVID-19. #Nature10 scientist. 🏳️🌈 Personal account, obvs.
TEPHINET @tephinet
7K Followers 811 Following The global network of Field Epidemiology Training Programs (FETPs) strengthening public health systems in 100+ countries. Founded in 1997. A program of @TFGH.
Chikwe Ihekweazu @Chikwe_I
168K Followers 2K Following Assistant Director General, @WHO Division of Health Emergency Intelligence & Surveillance Systems| WHO Hub for Pandemic & Epidemic Intelligence. Opinions mine
Applied Epi @appliedepi
2K Followers 98 Following Elevating frontline epidemiology | Training. Tools. Support. | Home of the @epiRhandbook used by 600,000 people worldwide
Lindsay Kobayashi @EpiKobayashi
2K Followers 1K Following John G. Searle Assistant Professor of Epidemiology at @umichsph. Thoughts on health inequities, cognitive aging, and cancer in aging populations.
Epidemiology Job Open.. @Epijobs
3K Followers 37 Following EpiJobs is your "ONE-STOP" for the latest job opportunities in Epidemiology and Public Health. #AcademicTwitter| #EpiTwitter| #EpiJobs| #PublicHealthTwitter
Stanford Epidemiology.. @StanfordEpiNews
2K Followers 400 Following The official account of @Stanford Medicine Department of Epidemiology and Population Health.
Harvard Epidemiology @HarvardEpi
12K Followers 333 Following The official account of the Harvard T.H. Chan School of Public Health - Department of Epidemiology | Our YouTube: https://t.co/J7rtm15XYE
PHD Comics @PHDcomics
345K Followers 75 Following Life (or the lack thereof) in Academia. Comic strip by Jorge Cham. https://t.co/cMwdi1UHdd
James Robins is back for Key Topics in Causal Inference (KTCI)! Robins, MD is Mitchell L. & Robin LaFoley Dong Prof. Epidemiology @HarvardEpi. He researches observational studies & randomized trials w/ time-varying exposure. Register to learn from James: causalab.sph.harvard.edu/courses/
Registration for the highly anticipated #2024CAUSALabcourses is now OPEN! Join us this summer @HarvardChanSPH or #online. Secure your seat today! Visit our website for more information about enrollment and how to register causalab.sph.harvard.edu/courses/ #causalab #harvardchan
Our protocol on Prognostic factors for return to work following knee arthroplasty is now published, take a look here: cochranelibrary.com/cdsr/doi/10.10…
“The practical question to ask, then, about a new piece of research, is not ‘has anyone ever conducted a similar study before?’ but ‘does this new research add to the literature in any way?’” — How to Read a Paper by Trisha Greenhalgh a.co/gFHLY8i
Just gave a guest lecture on Bayesian Causal Inference at Williams College, with slides and R code at doi.org/10.7910/DVN/JO… which is an introduction to our review paper royalsocietypublishing.org/doi/10.1098/rs… @fabri_mealli @FanLiDuke (I never taught any Bayesian Statistics at Berkeley.)
Lack of general code is one main barrier to Bayesian causal inference. Peng Ding gave some simple Stan code and intro slides on Bayesian causal inference based on our review paper. A long version is here: www2.stat.duke.edu/~fl35/teaching…
Just gave a guest lecture on Bayesian Causal Inference at Williams College, with slides and R code at doi.org/10.7910/DVN/JO… which is an introduction to our review paper royalsocietypublishing.org/doi/10.1098/rs… @fabri_mealli @FanLiDuke (I never taught any Bayesian Statistics at Berkeley.)
Three practical ways to get better at getting better. s.hbr.org/3c6B46N
IARC researchers will discuss the global #cancer burden due to occupational exposures during @icoh2024. IARC is a 🌍leader in occupational health research. Recent IARC work in this area includes studies on exposure to chrysotile asbestos &☀️UV radiation iarc.who.int/news-events/ia…
가구 소득 → (균등화 처리) → 균등화 개인 소득 kostat.go.kr/menu.es?mid=b8…
Pygformula for #causalinference now available on our GitHub! This comprehensive package is the 1st to implement #gformula in Python. Development led by Postdoc Fellow @JingLi17609667. GitHub repository: github.com/CausalInferenc… Package documentation: pygformula.readthedocs.io
Authors, be careful not to mix up #pollutant and #contaminant. Contamination is merely the presence of a substance where it should not be, with no connotation of harm. Pollution, on the other hand, is contamination that can or does cause adverse health effects. #TuesdayTip
First FEP-CAUSAL collab paper is out @AmJEpi! pubmed.ncbi.nlm.nih.gov/38576166/ Target trial emulation used to estimate First Episode Psychosis treatment. Findings support aripiprazole & paliperidone as first-line therapy. Led by CAUSALab researchers @AlejandroSzmul1 & @_MiguelHernan.
If you could ask Judea Pearl only one question, what would it be? #causaltwitter #causality
My recommended R packages for geospatial analyses. PLUS: how to get €50k (free) to launch a geospatial business, recommended geospatial courses, top websites for free geospatial data, and more. Here's everything I wrote about this week:
The typical response to an overwhelming workload is to put in longer hours. Don't do that. s.hbr.org/3HhT3pc
Here are open access method/stats resources I have collected to share with students when they ask. I find them easy to follow. Please share more so we all can have free stuff. P.S. Some people on this site might have made these resources but I don't know to tag them.
How to combine Multiple Plots in R finnstats.com/2022/11/19/how…
Yes, you do have enough time to read more books. Eliminate distractions to make it happen. s.hbr.org/3uQgJ0R
In political science, it’s common to interpret the substantive effect for statistically significant point estimates. We call that “magnitude-and-significance.” We wrote a little essay about that practice: carlislerainey.com/papers/meaning…
for a large sample size, it's better to interpret confidence intervals than use p-values ('significant' effects may be practically meaningless) for a small sample size, it's better to interpret confidence intervals than use p-values (emphasises the uncertainty in results)
GIS Analyst To GIS Data Scientist — 8 Things You Should Know. by @stephenisthere buff.ly/43M1CTr
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