Rodrigue Ndabashinze

MD | Global health | Epidemiology | Causal inference

[Phil Chen @philhchen]

https://t.co/oMoEAYkqGl

[Ruben Hassid @rubenhassid]

Instead of watching Netflix tonight.

Spend a day mastering Claude here: https://t.co/Vn60ElPZ2i

→ Level 1 - 24 min: The basics.

Claude For Dummies: https://t.co/HNa5MrCLVU
Claude Setup: https://t.co/jw2qdIcjnh

→ Level 2 - 1 hour: Real workflows.

Claude Cowork: https://t.co/uWTpOI3Woc
Claude for teams: https://t.co/qxlcqhf8bM
Claude Design: https://t.co/ZY8Fg5D2ea
Cowork + Projects: https://t.co/Q7AN9CZAbO
Claude for slides: https://t.co/L0bPMgXci6
Claude Skills: https://t.co/6cHYYfjXEA

→ Level 3 - 3.5 hours: The pro moves.

Avoid sycophancy: https://t.co/5i8xSJBGUl
Claude Code: https://t.co/UgE9xBXVbE
Claude 101: https://t.co/OvBmlvnVqL
Stop hitting Claude limits: https://t.co/j5fEzSH5br
Stop Prompting: https://t.co/j1LATSJiat

→ Level 4 - 8 hours: Expert mode.

Claude Computer: https://t.co/TxYuHPjgbV
Build with Claude API: https://t.co/RcCbfNjlzz

Pro tip: Don't binge it. Do one level per sitting.

Actually apply each guide before moving to the next

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic's own team just showed how to actually use Claude Code properly.

30 minutes. free. the person who created Claude Code.

watch the workshop. bookmark it.

worth more than every $500 course you almost bought.

you've been using Claude without knowing 40 of its commands.

Then read the guide below.

[Daniël Lakens @lakens]

Statisticians are trained in how to compute statistics, but not why to compute statistics. At least 10% of their training should be in philosophy of statistics. They should also spend 10 credits on their own empirical research project to understand how data is acually collected.

[Rodrigue Ndabashinze @ndabrodriguez]

"To get a good idea , you need a lot of ideas" Linus Pauling (two individual Nobel Prizes)

[Scholarship for PhD @ScholarshipfPhd]

Studying PhD is hurting Africas Economy

[AKEZA Burundi @akezanet]

🔴 𝗟𝘆𝗻𝗲 𝗡𝘇𝗶𝘇𝗮 𝗲𝘁 𝗔𝘅𝗲𝗹 𝗞𝗲𝘇𝗮, 𝗱𝗲𝘂𝘅 𝗷𝗲𝘂𝗻𝗲𝘀 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗶𝗲𝗻𝘀 𝗯𝘂𝗿𝘂𝗻𝗱𝗮𝗶𝘀 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗲𝗻𝘁 𝗮𝘂 𝟲𝟱ᵉ 𝗖𝗼𝗻𝗴𝗿𝗲̀𝘀 𝗺𝗼𝗻𝗱𝗶𝗮𝗹 𝗱𝗲 𝗹𝗮 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗾𝘂𝗲 𝗮̀ 𝗟𝗮 𝗛𝗮𝘆𝗲.
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Ce 65ᵉ Congrès mondial de la statistique se tient à La Haye au Pays-Bas depuis ce 5 jusqu’à ce 9 octobre. Ces deux jeunes burundais passionnés de statistiques sont membres de l’Association des Professionnels de la Statistique du Burundi (APROSTAB), de la Young African Statisticians Association (YASA). Ces jeunes statisticiens sont tous, bénéficiaires du programme TAKWIMU, initié par le Centre Africain de la Statistique.

📍💬 « Lors de ce congrès organisé par l’Institut International de la Statistique (ISI), nous avons eu l’occasion de présenter une étude de recherche en cours intitulée « Rendre les données compréhensibles : cartographie des jeunes statisticiens en Afrique et de leur rôle ». Ce projet est mené en collaboration avec la Young African Statisticians Association », Axel KEZA.

🔹Actuellement, Lyne Nziza est une consultante en Analyse de Données pour le Développement, avec plus de dix ans d’expérience dans la contribution des projets de recherche dans la région des Grands Lacs.

🔹De son côté, Axel Keza est encore étudiant en dernière année de master en Biostatistique à l’Université d’Abomey-Calavi au Bénin. Il a également été Secrétaire Général et Président du Club Statistique de l’Université du Lac Tanganyika (ULT), en 2019 et 2020.

🔹Signalons que le programme Takwimu a été lancé en 2021 par la Commission économique pour l'Afrique (CEA). Son objectif est de former et autonomiser la prochaine génération de statisticiens africains pour moderniser les systèmes des statistiques sur le continent et accélérer le développement économique, en promouvant la recherche, l'innovation et l'utilisation des nouvelles technologies de données.

#lesbeautesdecheznous #akezanet #65ᵉCongrèsmondialdelastatistique #Burundi

[Wouter van Amsterdam @WvanAmsterdam]

TARGET: a reporting guideline for target trial emulation studies: https://t.co/HtVC46kr1s

[Rodrigue Ndabashinze @ndabrodriguez]

View my verified achievement from @NASA. https://t.co/IXi9dhse37 via @credly

[Daniël Lakens @lakens]

If you are preparing your bachelor statistics course and would like to add optional material for students to better understand statistics on a conceptual level (see topics in the screenshot) my free textbook provides a state of the art overview. https://t.co/FdQIS63fVd

[Sander Greenland @Lester_Domes]

Those teaching basic or general concepts for applied statistics may be interested in the new post at https://t.co/cPrn2wf99M

[StatsCI @stats_ci]

New publication📣- Incorporation of Patient & Public Involvement in Statistical Methodology Research: Summary of Workshop Proceedings -aimed at addressing barriers to meaningful PPI in statistical methodology research. Open access in Statistics in Medicine https://t.co/lfFRmtTdAH

[Andrew Vickers @VickersBiostats]

Can we stop calling non-randomized trials "Phase III"? https://t.co/PRN5tqbs14

[Rodrigue Ndabashinze @ndabrodriguez]

"Prophesy has long foretold that a student of epidemiology will lead the people to a future where they know how to reason correctly about generalizability"
Anders Huitfeldt :"a new approach to the generalizability of RCTs"
@BEMColloquium methods 2020

[Timothée Olivier, MD @Timothee_MD]

https://t.co/immidRjQVs

[Andrew Gelman et al. @StatModeling]

Count the living or the dead? https://t.co/OhRaLgsz0W

[Anders Huitfeldt @AndersHuitfeldt]

#epitwitter

[Tim Disher, PhD @halifaxtim]

@AndersHuitfeldt There’s a nice cochrane data R package now I think that would simplify some large empirical work. I think finding switch risk better predicts subsequent studies + shows meaningful changes in summaries for decision making would be compelling.

[ASA History of Statistics Special Interest Group @HOS_ASA]

#OTD 1913 Mindel Sheps b (d 13 Jan 1973) 🇨🇦@AmStatNews Fellow 1970. Best known for her highly influential 1958 paper discussing the asymmetry of relative risk & how it is affected by baseline risk & choice of outcome reference group. 1/4