#statstab #348 The Effect {book} - Causal Diagrams
Thoughts: At some point you'll need to learn about DAGs. Maybe this is the chapter you need.
#CausalInference
Interested in #CausalInference, #Pharmacometrics, or non-linear mixed effects modeling? Join the SxP webinar as we bring these topics together. Expand your knowledge, network with experts, and explore innovative approaches—
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.
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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
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.
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
@lobsters All this pervasive “least correlation between time invested and size of resulting product” along with the “solutions that must be maintained in a changing world” inevitably ring a bell about the out-of-distribution problems that typically arise under the influence of actionable inputs. #causalinference can possibly be helpful in this context.
@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"
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=92012
#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
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