Expert Review

The Use of Real-World Data for Studies of Dynamic Disease Processes

📖 doi.org/10.3899/jrhe...
@uwaterloo.ca

#Confounding #DynamicProcesses #JointModels

Original post on hachyderm.io

"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): theoreticalecology.wordpress.com/2019/04/14/mediators-con...

#offPolicy #causality #causalInference #stats #statistics #counterFactuals […]

Give Your Hypotheses Space! – Brian Lookabaugh It’s tempting to throw a bunch of variables of interest into a model and evaluate each variable’s ‘impact’ on the outcome, but proceed at your own caution! Check this blog out to see why that approach...

#statstab #471 Give Your Hypotheses Space!

Thoughts: "each hypothesis requires its own model" + "Only interpret the output for your exposure of interest"

#causalinference #modelling #hypothesis #tutorial #confounding #mbias

brian-lookabaugh.github.io/website-bria...

#quotes #books #booksky #excerpts #citations #everythingisobvious #watts #predictions #decision #factors #confounding #superfluous #system #probability

🧪 A natural experiment
#COVID19 #vaccine 💉 access order differences by state

I hope the surveillance experts, epidemiologists and statisticians are planning their analyses of COVID19, respiratory, all cause mortality and morbidity over the winter season

#AscertainmentBias #confounding #EpiSky

Sensitivity Analysis Tools for Regression Models Implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression mode...

#statstab #391 {sensemakr} Sensitivity Analysis Tools for OLS

Thoughts: No unobserved variables is an untestable assumption, but you can quantify the robustness of your ATE.

#R #causalinference #observational #inference #confounding #bias #sensitivity

carloscinelli.com/sensemakr/

When the Holy Spirit and an angel make you look. #Confounding Art in 1450.

When risk factors are imbalanced for non-chance reasons in #observational studies, we call it #confounding.

An interesting point is that, regardless of whether the imbalance results from chance or confounding, we are better off ADJUSTING for prognostic factors that are imbalanced between groups.

What is it about people always needing to look down on those they consider less than? Even the oppressed and marginalized do it to one another. I may be this but I'm not THAT!! #confounding

Yes we just posted about #confounding but we can't forget our other favorite: #bias! SER members @mattpfox.bsky.social, Nedghie Adrian, @maartenvsmeden.bsky.social & Elizabeth Suarez share reminders on common sources of bias and how simulations can inform your understanding:

🆕Based on #CancerRegistry data, researchers in our team & #InaWellmann developed a methodological approach to isolate the effect of #confounding from the observed #SurvivalBenefits of #screening participants using the #GERMammographyScreening example
👉

uni.ms/92gif

I try to establish the phrase: "You can not have no generative model."

#causality #measurement #selection #confounding #compliance #DAGs

Pretty good and non technical (meaning no math, other than addition, multiplication, and division) to marginal structural models and time depending #confounding in #epidemiology.
www.ncbi.nlm.nih.gov/pmc/articles...

Just as national polls show Obama opening a lead over Romney, polls show Romney up in key swing states. #confounding