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r-causal / causal-inference-in-R

Causal Inference in R: A book!
https://www.r-causal.org/
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survival data #26

Open tgerke opened 2 years ago

tgerke commented 2 years ago

The touring plans data may not meet the need for censored time-to-event data. Might have an alternate option in this pet adoption data: https://www.kaggle.com/c/sliced-s01e10-playoffs-2/data

H/T Max Kuhn: https://topepo.github.io/2021-r-pharma/index.html#3

malcolmbarrett commented 1 year ago

Related to https://github.com/malcolmbarrett/causal_inference_r_workshop/issues/19 where we need data with loss to follow up

malcolmbarrett commented 1 year ago

Could this type of approach be useful here? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935334/

malcolmbarrett commented 1 year ago

Some data sources:

https://github.com/hfrick/cetaceans (has unknown category, so could be case for loss to followup) censored::time_to_million parmsurvfit::oscars (this package has some other datasets, too)

malcolmbarrett commented 1 year ago

Time to divorce: https://grodri.github.io/survival/project. number of kids as time-varying exposure?

SurvSet (collection of time to event data): https://arxiv.org/pdf/2203.03094.pdf, https://github.com/ErikinBC/SurvSet/tree/main/SurvSet/_datagen/output

malcolmbarrett commented 1 year ago

Time to adoption: https://www.kaggle.com/competitions/sliced-s01e10-playoffs-2/data. Spay-neuter as an intervention? Probably a null effect so could be interesting example of confounding

malcolmbarrett commented 7 months ago

idea: disney data on time to ride closing. exposure as weather or something?

malcolmbarrett commented 2 months ago

Simulating survival data: https://www.jstatsoft.org/article/view/v097i03