#causalinference

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=94702

Hello SFBA! I’ve been wistfully thinking of switching over here for a while and recent fosstodon choices gave me the push I needed. So #introduction time!

I’m from #SanFrancisco and moved back here after some wandering. Raising two kids and a dog. Working in tech (sigh) but on #sustainability at least.

Interested in and post about #CausalInference, #Statistics, #Politics, #Policy, #Climate, #Energy, #Dogs, #Crafting and #Parenting

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=94125

This looks great: Andrew Gelman (@statmodeling_bot ) would be joining Nancy Cartwright and Berna Devezer. Short idea talks, lots of panel discussion and Q&A.

Join us on April 25th to discuss RCTs, replications, and scientific inference.
https://sites.google.com/view/cepbi/talks-gatherings?authuser=0

#stats #causalInference #RCTs #philsci

The case for multiple UESDs and an application to migrant deaths in the Mediterranean Sea https://doi.org/10.1017/psrm.2025.17 #CausalInference Analyzing multiple, comparable unexpected events happening during survey data collection makes a lot of sense to assess patterns. In doing so, one has to follow 1/

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=93671

#statstab #307 The C-word, the P-word, and realism in epidemiology

Thoughts: A comment on #306. Causal inference in observational research is a confusing matter. Read both.

#causalinference #observational #research #commentary

https://link.springer.com/article/10.1007/s11229-019-02169-x

#statstab #306 The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data

Thoughts: Causal inference is messy business. Maybe we need to be more honest about that.

#causalinference #observational #research #confounds

https://doi.org/10.2105/AJPH.2018.304337

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=93482

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=93328

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=92866

@newsycombinator An illustrative example of collider bias: Location -> Restaurant Success <- Food Quality

I recall that @rlmcelreath used it in one of his lectures… It is surprising how many students of #causalinference (mostly the ones that overtly reject DAGs as a useful source of knowledge representation) miss this effect. I vividly recall how Donald Rubin himself told me that he had never seen any colliders in the real world while answering questions after a lecture at Northwestern. ¯\_(ツ)_/¯

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=92495

#statstab #285 Do Covariates Change the Estimand?

Thoughts: "covariates should be taken into account in estimation. Doing so does not change the question but gives better answers"

#estimand #covariate #causalinference #effects #estimation

https://doi.org/10.1080/19466315.2019.1647874

#AI #DataScience #MachineLearning #CareerGrowth #FutureSkills #2025Trends #CausalInference #DifferentialPrivacy #Forecasting

#statstab #274 Matching Methods for Confounder Adjustment

Thoughts: You may've heard that for causal inference in observational studies you need to do some stuff. Matching is one of those.

#matching #causalinference #observational #bias #probability

https://doi.org/10.1093/epirev/mxab003

#statstab #273 Statistical Control Requires Causal Justification

Thoughts: Another reason why I just run experiments. Controls are important for causal inference, but what not/to control for is a complex matter.

#causalinference #control #confounds

https://journals.sagepub.com/doi/10.1177/25152459221095823

Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks

University of Massachusetts Chan Medical School

Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=91620

#statstab #269 Why Propensity Scores Should Not Be Used for Matching

Thoughts: Causal inference is fun. Every so often a paper is published that says how to do it, and claims all other methods are trash.

#propensityscores #causalinference #modelling

https://gking.harvard.edu/files/gking/files/pan1900011_rev.pdf

#statstab #267 That’s a Lot to Process! Pitfalls of Popular Path Models

Thoughts: The number of senior psych researchers that just loooove Process...and all use it post hoc Causal inference is not easy.

#mediation #process #spss #causalinference #SEM

https://journals.sagepub.com/doi/10.1177/25152459221095827