How to become a SUCCESSFUL academic: a guide 1/n
How do I know how to become a successful academic? I don't, but I have received plenty of advice. As a good academic, I will just summarize what I have learned from listening
1) Be the ultimate collaborator but also don't be

Say yes to as many collaborations as physically possible: co-produce papers, LEARN, co-write grants, DISCUSS, it is all about synergy. But also, collaborations slow you down, have your own ideas! Just say no to collaborations
2) Be the methods ninja but also don't be

Science is only as good as its weakest link: don't be satisfied by applying the default analyses in the field. But also, don't let perfect be the enemy of the good and don't confuse reviewers. Just apply the default analyses in the field
3) Be the superstar teacher but also don't be

Professor means teacher, it is LITERALLY in the name. Being a good professor means being a superstar teacher. But also, focus on the science and minimize the hours of teaching, don't try to become a superstar teacher
4) Be the open science practitioner but also don't be

A modern scientist is an open scientist. Open up your code, your data and your publications. But also, your code is messy, the data isn't yours to share and you should save the APC of open publishing to hire new lab members
5) Be the literature addict but also don't be

READ YOUR LITERATURE. Be the literature addict and know what is out there to prioritize your own science and become THE EXPERT. But also, there is just too much! Invest time spend on reading in writing your own stuff! DON'T READ
6) Be the supreme knowledge sponge but also don't be

Become the best in the world by borrowing knowledge from different scientific disciplines and by working in multidisciplinary teams. But also, be THE SPECIALIST. Focus on your own discipline and team, your CV is begging you
7) Be the social media rockstar but also don't be

Outreach! Show you can and will communicate with the public to explain your science. But also, TIME DRAIN! Surely your tenure track committee is not impressed by your 30k SoMe followers half of whom are bots anyway
8) Be the peer review soldier but also don't be

Be an active part of the scientific community: be ready for peer review duty. The system will collapse without you! But also, peer review is a waste: everything will be published anyway. Don't answer the calls for peer review duty
9) Be the frequent flyer world traveler but also don't be

You are an internationally oriented researcher: fly as much as you can for talks, collaborations and make sure you participate in ALL the discussions. But also, think about the environment: fly as little as you can
10) Be the family person but also don't be

Don't forget to live while becoming successful: family time should always be the number 1 priority. But also, all of the above should be number 1 priority
I sincerely hope this thread will help YOU become an even more successful academic


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More from @MaartenvSmeden

15 Jan
The infamous retracted Hydroxychloroquire Lancet article?
Cited.... 883 TIMES
Only referenced as a joke or warning you say? Think again.. (screenshot from a 2021 paper)
At least the first author doesn't use it to boost his citations and H-index... oh wait...
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21 Dec 20
Another year, another personal TOP 10 favorite methods papers
Disclaimer: this top 10 is just personal opinion. I’m biased towards explanatory methods and statistics articles relevant to health research, particularly those relating to prediction

The order in which the articles appear is pseudo-random
1) The first one is related to the pandemic. Title and subtitle give away the conclusions, but the arguments are particularly well put…
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26 Oct 20
@Laconic_doc @statsmethods I think Alama has been called out by @GSCollins, I don't know about Public Health England.

Also, I actually never mentioned your name or link to your website to avoid public ridicule
@Laconic_doc @statsmethods @GSCollins That said, I have personally did quite a few things to warn you

First, I send you emails to which you politely and quickly responded. Thanks. You seemed to agree with my critique, but you didn't show any initiative to change it or remove the model
@Laconic_doc @statsmethods @GSCollins Second, I am one of the authors of a reply to the OpenSAFELY study where we specifically mention their model falls short of developing a risk model. You seem to have ignored that and used their multivariable results anyway
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26 Oct 20
Today started with email with a new COVID mortality calculator send to a group of researchers

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but acknowledges the limitations

are you kidding?
there is no doubt this "model" is meant to be used as a prediction tool and it is available online

acknowledging limitations is a really poor substitute for careful development and validation of what is essentially a medical device
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This [THREAD] has been long in the making and is arguably overdue

I'll assume you have some basic knowledge of prediction models and will be relatively short on the technicalities

lets suppose you interested in developing a prediction model for disease X

There are probably a few dozen prediction models already developed for disease X!

most of them have never and will never be used

so... are you really, really, really sure the world is waiting for a new prediction model for disease X?

Read 4 tweets
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the ultimate reviewer #2 bingo card
key citations 👇
unclear analysis aims…

evidence of absence fallacy…

data dredging…

noisy data fallacy…
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