Today we report the use of base editing in patient-derived cells and in mice to correct the most common cause of progeria, the devastating rapid aging disease. Progeria is typically caused by a dominant negative C•G-to-T•A point mutation in LMNA. 1/11 https://t.co/O7dkEYpndg
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@mugecevik is an excellent scientist and a responsible professional. She likely read the paper more carefully than most. She grasped some of its strengths and weaknesses that are not apparent from a cursory glance. Below, I will mention a few points some may have missed.
1/
The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
1/
I've recently come across a disinformation around evidence relating to school closures and community transmission that's been platformed prominently. This arises from flawed understanding of the data that underlies this evidence, and the methodologies used in these studies. pic.twitter.com/VM7cVKghgj
— Deepti Gurdasani (@dgurdasani1) February 1, 2021
The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
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On the occasion of youtube 20k and Twitter 70k members
A small tribute/gift to members
Screeners
technical screeners - intraday and positional both
before proceeding - i have helped you , can i ask you so that it can help someone else too
thank you
positional one
run - find #stock - draw chart - find levels
1- Stocks closing daily 2% up from 5 days
https://t.co/gTZrYY3Nht
2- Weekly breakout
https://t.co/1f4ahEolYB
3- Breakouts in short term
https://t.co/BI4h0CdgO2
4- Bullish from last 5
intraday screeners
5- 15 minute Stock Breakouts
https://t.co/9eAo82iuNv
6- Intraday Buying seen in the past 15 minutes
https://t.co/XqAJKhLB5G
7- Stocks trading near day's high on 5 min chart with volume BO intraday
https://t.co/flHmm6QXmo
Thank you
A small tribute/gift to members
Screeners
technical screeners - intraday and positional both
before proceeding - i have helped you , can i ask you so that it can help someone else too
thank you
positional one
run - find #stock - draw chart - find levels
1- Stocks closing daily 2% up from 5 days
https://t.co/gTZrYY3Nht
2- Weekly breakout
https://t.co/1f4ahEolYB
3- Breakouts in short term
https://t.co/BI4h0CdgO2
4- Bullish from last 5
intraday screeners
5- 15 minute Stock Breakouts
https://t.co/9eAo82iuNv
6- Intraday Buying seen in the past 15 minutes
https://t.co/XqAJKhLB5G
7- Stocks trading near day's high on 5 min chart with volume BO intraday
https://t.co/flHmm6QXmo
Thank you