Finally arrived #causalinference
@ezucchelli.bsky.social
@ezucchelli.bsky.socialFinally arrived #causalinference
@mzloteanu.bsky.social#statstab #637 Evaluate What Is Claimed to Be Confirmed: Initial Version of a Falsification Assessment Form (FAF)
Thoughts: This seems like a faf๐
#falsification #nhst #hypothesis #hypothesistesting #assumptions #causalinference
#OpenScience #auxiliary
@mauriceoconnell.bsky.socialGreat work by my PhD student @manchester.ac.uk , Kritchavat Ploddi, on this publication! ๐, and thanks to my fellow supervisors @mattsperrin.bsky.social & @glenmartin.bsky.social
#ClinicalPredictionModels #Generalisability #Transportability #DataShift #CausalInference
@bjjbarrett.bsky.socialin addition to showing how solitary animals incur costs so their offspring benefit from social play it features an integration of #causalinference and hierarchical dyadic social relations network modeling to highlight how individuals and kin-dyads navigates the costs of social behavior
@kexinsong.bsky.socialCall for #AAG2027 abstracts! ๐บ๏ธ๐
Obsessed with geospatial data and causality? Join our session on Causal Inference in the Geospatial Context!
We welcome methods, applications, and challenges. Details below ๐
lnkd.in/g9up2ycF
#AAG #GeoAI #GIScience #RemoteSensing #SpatialData #CausalInference
@tenuretracker.bsky.socialUniversity of Pennsylvania is hiring:
Assistant Professor in Causal Inference and Machine Learning Methods
@leestoner.bsky.socialWhy Machine Learning Can't Answer 'What If?'
Machine learning can predict with stunning accuracy and still mislead about cause and effect. See how causal inference separates predi...
https://blog.scienceye.com/why-machine-learning-cant-answer-what-if/
#causalinference #causality #confounding #coโฆ
@ruettenauer.bsky.socialAfter extensive qualitative fieldwork (n=1), I can report that this is a pretty great job ๐งโ๐๐
If you work on #Climate, #Environment and #CausalInference, I highly recommend applying for this Assistant Professor position @sriucl.bsky.social ๐
๐จDeadline: October 30
@jakobrunge.bsky.socialMarina Hรถhne and I are hiring a postdoc in XAI ร causal inference at Uni Potsdam (CRC 1294)!
Strong ML background, experience in XAI or causality, curious about the other. Time series a plus.
Full-time E13 TV-L, funded until 6/2029, no teaching.
DM us & please share! #XAI #CausalInference
@tenuretracker.bsky.socialLeibniz Gemeinschaft (@leibniz-gemeinschaft.de) is hiring:
Postdoc in Causal Inference / Statistics
@data.yt"Mediators, confounders, colliders โ a crash course in causal inference", by @florianhartig.bsky.social (2019): theoreticalecology.wordpress.com/2019/04/14/m... ๐งต
#policy #intervention #graphs #causality #causalInference #stats #statistics #counterFactuals #probabilities #ecology #confounding
@causalab.orgApply now for CAUSALab Clinics!
Free #causalinference consulting w/ postdoc fellows. Offered to Boston early-career investigators who research comparative effectiveness or safety of health interventions.
Fall 2026 dates:
๐
Oct 14
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Dec 9
@instats.bsky.socialLearn Regression Modeling Strategies at your own pace! #BayesianStatistics #Biostatistics #CausalInference #ComputationalStatistics #DataScience #Epidemiology #HealthSciences #LongitudinalDataAnalysis #MachineLearning #MissingData #RegressionModelingStrategies #Statisticalmodellingandregressio
@causalab.orgFall is here! ๐
Our team kicked off the semester with a social welcoming new members to the lab. Follow along for upcoming CAUSALab projects, research collaborations, and events @hsph.harvard.edu!
@mzloteanu.bsky.social#statstab #623 Six Lemmas Concerning Heterogeneity and Nonlinearity in Causal Inference
Thoughts: A very clear treaty of Causal inference problems.
#causalinference #ATE #MachineLearning #inference #bias #heterogeneity #lemma #nonlinear #observational
@instats.bsky.socialLearn Causal Inference with LLMs at your own pace! #AppliedResearch #BayesianStatistics #CausalInference #ComputationalSocialScience #ComputationalStatistics #ComputerScience #DataScience #Economics #EnvironmentalSciences #Finance #Healthcare #MachineLearning #Management #MixedMethods #Organiz
@ssrn.bsky.socialNew research develops a method for identifying causal direction in economic time series using asymmetries in residual dependence, while addressing the nonstandard inference challenges that arise in causal-discovery settings. spkl.io/633247r2FC
@mzloteanu.bsky.social#statstab #617 Why Adjusted Regression Coefficients Are Less Descriptive Than They Look
Thoughts: Great overview of the "controlling for" issue in multiple regression
#regression #inference #covariates #multivariable #guide #adjustment #causalinference
@iqss.bsky.socialWednesday at 12pm: in this week's #AppliedStats workshop, Tymon Sลoczyลski introduces practical tools for evaluating weighted estimands with "Quantifying the Internal Validity of Weighted Estimands."
www.iq.harvard.edu/event/tymon-...
#CausalInference #Statistics #QuantitativeMethods
@jwbelmon.bsky.socialProbability of Mediated Necessity (PMN) allows one to take into account the observed value of a biomarker as a causal mediator. #causalinference