causal-inference-in-R
causal-inference-in-R copied to clipboard
malcolmbarrett
survival data
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
Related to https://github.com/malcolmbarrett/causal_inference_r_workshop/issues/19 where we need data with loss to follow up
Could this type of approach be useful here? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935334/
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)
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
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
idea: disney data on time to ride closing. exposure as weather or something?
Simulating survival data: https://www.jstatsoft.org/article/view/v097i03