#statstwitter

2021-09-06

I've seen a lot of people flaunt about how they don't use p-values and they avoid dichotomous thinking, but then their papers discuss how the 95% CI doesn't overlap with 0. #statstwitter

Dr. Guy Prochilo 🏳️‍🌈guyprochilo@mastodon.online
2024-09-15

Missing at Random (MAR) means that the probability of data being missing is purely random after conditioning on observed data (e.g., in multiple imputation). That is to say, it depends only on the observed data, not the missing values themselves.

#phdchat #statstwitter

alex hayesalexpghayes
2023-09-23

dropping in briefly to say that the blue sky vibes are really taking off rn and feel like a twitter replacement in a way that mastodon does not. hope to see you there!

2023-09-04

RT @J_my_sci: What statistical model would you use to detect changes in count (poisson) data over time? Assume each timepoint contains counts of the same thing from different individuals. Also want to detect if there is an interaction between time and genotype group #statstwitter #statistics

Luisa N. Borrelllborrell@mastodon.online
2023-02-27

This sorts of call for the use of mixed methods 🤣🤣 #epitwitter #epiverse #BlackEpiMatters #statstwitter
---
RT @xkcd
K-Means Clustering xkcd.com/2731
twitter.com/xkcd/status/162005

Luisa N. Borrelllborrell@mastodon.online
2023-02-23

Excellent thread on RCT, logistic regression and transportability. #epitwitter #epiverse #statstwitter #AcademicChatter
---
RT @ildiazm
In this post and multiple others, @f2harrell says that a generally correct way to analyze RCTs with binary outcomes is to fit a logistic regression. One of the main claims is that this leads to "one-number" effect measures that are "highly transportable".
twitter.com/f2harrell/status/1
twitter.com/ildiazm/status/162

Luisa N. Borrelllborrell@mastodon.online
2023-02-20

This cannot be said enough 🎯🎯 #epitwitter #epiverse #BlackEpiMatters #statstwitter
---
RT @MaartenvSmeden
Just because you put a bunch of covariates in a regression model, doesn't mean all of the covariate-outcome associations are somehow magically freed from confounding
twitter.com/MaartenvSmeden/sta

apoorva lal :lambda:apoorvalal@econtwitter.net
2023-01-10

Are one-sided [vs sharp] tests well-defined for permutation/conformal inference type procedures [e.g. this one for synth arxiv.org/abs/1712.09089 by @wuthrich_k and co]? I'm having a hard time thinking of a test statistic.
#statstwitter #econtwitter #xp

alex hayesalexpghayes
2022-12-15

do the nuisance functionals in the EIF "completely" characterize an estimand from an identification pov?

i.e. to characterize the ATE i only need to think about the propensity score and the conditional expectation of the outcome. is this general / is there some nice way to express it?

Luisa N. Borrelllborrell@mastodon.online
2022-11-27

Odds ratio vs risk ratio: “Estimating the odds ratio is simple but interpreting it is hard. But estimating the risk ratio is challenging but its interpretation is straightforward.” #epitwitter #statstwitter #AcademicTwitter #phdchat academic.oup.com/ije/advance-a

Luisa N. Borrelllborrell@mastodon.online
2022-11-27

Data and code sharing: "Compliance with mandatory data and code sharing policies was observed in 48% and 0% of articles, respectively. but, 88% of articles included data availability statements when required." #epitwitter #AcademicTwitter #statstwitter bmcmedicine.biomedcentral.com/

Jason H. Moore, Ph.D.moorejh@mastodon.online
2022-11-16

We are recruiting multiple consulting / collaborative biostatisticians for our Biostats Core here at @CedarsSinai in Los Angeles jobs.cedars-sinai.edu/job/los- #statstwitter #biostatistics #statistics #datascience

Peter Tennant, PhDPWGTennant
2022-11-08
Stephen Olivier 💻📉📊🇿🇦stephen_olivier@mastodon.online
2022-11-08

Hi everyone. I'm Stephen a South African statistician working on HIV/TB and non-communicable diseases in KwaZulu-Natal. I've also been known to do standup comedy when I'm bored and want to spread that boredom

#Introduction #stats #statstwitter #statsmastodon #epitwitter

Demetri PananosPhdemetri
2022-11-06

Many of you will know me from so I will keep the intro brief.

I’ve got a PhD in biostatistics and am interested in and experimentation. I keep meaning to learn more about causal inference but I somehow fall off the wagon each time. I’ll try not to be so unhinged here and leave that for the hellscape that is the bird site

Oliver Maclarenomaclaren
2022-11-06

Hi everyone, I'm Oliver. I'm a lecturer at the University of Auckland, New Zealand. As my bio says, I'm a sort of fake mathematician, fake statistician, fake engineer, fake scientist. Was vaguely part of and all that, looking for similar community (and more) here!

alex hayesalexpghayes
2022-11-06

Like @paulgp, I am contemplating starting an instance for and folks

Goals:

(1) local timeline focused on stats and data sci content to help with discovery, and

(2) hands-on, hopefully community-determined moderation to keep a constructive, troll-free environment

Thoughts?

Tired Old Health Stats Dudehealthstatsdude
2022-11-05

i’m <name redacted b/c of social media policies of employer> and i’m a stats-oriented data scientist in the operations side (ie not research) of an academic-oriented pediatric hospital.

i love using and and to solve clinical problems, especially in and , but also with some strong interest in and .

i’m hoping we can recreate the amazing /#EpiTwitter communities here

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst