Compaore Yacouba

[Compaore Yacouba @CompaoreYacou16]

@thegiftofchess Very nice. I will contact you!

[Compaore Yacouba @CompaoreYacou16]

https://t.co/sbalvsvYv9

[Elon Musk @elonmusk]

The Blindsight device from Neuralink will enable even those who have lost both eyes and their optic nerve to see.

Provided the visual cortex is intact, it will even enable those who have been blind from birth to see for the first time.

To set expectations correctly, the vision will be at first be low resolution, like Atari graphics, but eventually it has the potential be better than natural vision and enable you to see in infrared, ultraviolet or even radar wavelengths, like Geordi La Forge.

Much appreciated, @US_FDA!

[DEMO LLN 🇧🇪 @DemographieLLN]

🗓️We are happy to announce that the new program of our #LunchSeminars is out!

Join us monthly, either on-site or online, to explore various research in #population studies.

#popX #poptwitter

[SAPRIN @saprin_mrc]

The Blueprint for the African Population Cohorts Consortium https://t.co/R7PLsH7XIE seeks to unite population cohorts across Africa, to harness the continent’s diversity and research capabilities to promote scientific breakthroughs.
@MRCza @dsigovza

[DEMO LLN 🇧🇪 @DemographieLLN]

📢Exciting news!
@UCLouvain_be launched a double degree in #Demography,

spanning 🇨🇦#Canada and 🇧🇪#Belgium [in French]

[Pietro D'Amelio @ornitho_pie]

Is long-term monogamy beneficial? Why??

We now have an idea...

Do you want to know why it is "one of the clearest demonstrations of the benefits of long-term monogamy so far" (reviewer 2)?

Read it all in "just accepted" @ASNAmNat
https://t.co/Ek2vACMkEd

[Mental Health Data Prize-Africa @MHDPrizeAFRICA]

Au Sénégal, la #santé mentale est enracinée dans les croyances culturelles, ce qui pose des problèmes considérables en matière d'accès au soutien et au traitement. Malgré la présence de psychiatres, les individus hésitent à demander de l'aide en raison des stéréotypes.

[Joan Damiens @joandamiens]

Our amazing team @PRUhelsinkiuni is looking for a postdoctoral researcher!

🦠💊⚖️If you are interested in social inequalities in population #health, join us!
#jobalert #poptwitter

📌
https://t.co/x15dpzHzUE

[David A. Sánchez-Páez @dasanchezp]

Check out our new paper "Measuring under-5 mortality and fertility through mobile phone surveys: An assessment of selection bias in 34 low-income and middle-income countries" @BMJ_Open @economicas_uva @DemographieLLN @LSHTM @ashiratamar @BrunoMasquelier https://t.co/7xxheGGZVu

[Ined @InedFr]

Découvrez les biais cachés dans les données de cohorte! Nos recherches révèlent des biais significatifs inattendus dans les mesures démographiques lorsqu'elles sont tirées de taux par période. ⬇️

[Josh Merfeld @Josh_Merfeld]

I taught a new advanced masters/intro Ph.D. course on applied microeconometrics in R this semester. Everything is on GitHub, which means it's freely available for all! I spent a lot of time talking about coding, which might not be clear from the slides.

https://t.co/NQlNZhISdB

[DEMO LLN 🇧🇪 @DemographieLLN]

📢Quetelet Journal Publication Alert!

#Vulnerability & #ageing in #Ouagadougou 🇧🇫: The crucial role of #gender and #migration status in older people’s support, by @CompaoreYacou16, M-L Flahaux & N Sawadogo.

⏩https://t.co/Yz7sFm2YXa

[UAPS/UEPA @UAPS_UEPA]

CALL FOR APPLICATIONS!!
The Union for African Population Studies (UAPS) is pleased to announce the call for applications for the second cohort (2023-2024) of the African Research and Data (AfRes-Data) Fellowship. Visit our website https://t.co/uDF0MhQJQ7 for more information.

[John V. Kane @UptonOrwell]

Want to use @Stata to visually present your regression results?

I made a guide for my students & wanted to share. It covers key aesthetics, combining results from multiple models, working w/ logit models, and more. Oh, and I provide all the code.😊

https://t.co/mKpod4nVjR

[Demographic Research @DemographicRes]

Do under-5 year old children face higher #mortality in larger #households? Time-varying household structure analysis using #Africa-n #HDSS data suggests not. By @ashiratamar, @PhBocquier,Carren Ginsburg, @CompaoreYacou16 & @MarkCollinson4
👉 https://t.co/iAjbeTmMEa

[Compaore Yacouba @CompaoreYacou16]

Excellent explanation of Effect Size!

[Selçuk Korkmaz @selcukorkmaz]

Understanding Effect Size in Statistics

🔹 Ever puzzled by the term "effect size" in a research paper or report? This thread breaks down what it is, why it's important, and how it complements other statistical measures.

🔹 Let's start at the beginning. In plain English, effect size tells us about the size of the difference between two groups. It's like asking, "How different are these groups really?" or "How much of an effect does this factor or treatment have?"

🔹 Suppose you read a study saying a new diet pill helped people lose more weight than a placebo, with a p-value of less than 0.05. That sounds promising, right? But what if the average weight loss was only 0.1 kg more than the placebo? Is it practically significant?

🔹 That's where effect size comes in! While the p-value tells you if an effect exists (is statistically significant), the effect size helps you understand the magnitude of this difference, giving you context and a sense of practical significance.

🔹 There are several ways to measure effect size. Some common ones are Cohen's d, which is often used in comparing means of two groups, and eta-squared (η^2), which measures the proportion of total variance in a dependent variable that's associated with the membership of different groups defined by an independent variable.

🔹 For instance, in our diet pill example, Cohen's d might be 0.02, a very small effect size. This means the difference in weight loss between the diet pill and placebo is small, even if it's statistically significant.

🔹 Importantly, effect size is independent of sample size, unlike p-values. This makes it a great tool for meta-analysis, where you want to combine results from different studies.

🔹 Reporting effect size helps provide a complete picture of your results. It allows others to judge the practical significance of your findings, not just the statistical significance, leading to more informed decisions in fields like medicine, policy, and beyond.

🔹 Remember, a "large" or "small" effect size isn't inherently "good" or "bad". It depends on the context. In some situations, a small effect size can still have big implications!

🔹 In conclusion, effect size gives context and depth to the results of statistical tests. It aids in understanding not just whether an effect exists, but how large that effect is, thereby contributing to a richer, more meaningful interpretation of the data.

#DataScience #Statistics

[Compaore Yacouba @CompaoreYacou16]

@ChampionsLeague Thierry Henri !

[Macky Sall @Macky_Sall]

#DiscoursSn
Mes cher(e)s compatriotes, ma décision longuement et mûrement réfléchie est de ne pas être candidat à la prochaine élection du 25 février 2024. Et cela, même si la constitution m’en donne le droit.