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Code repository to accompany, 'Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with overdispersion'

Jamie Yap; John J. Dziak; Raju Maiti; Kevin G. Lynch; James R. McKay; Bibhas Chakraborty; Inbal Nahum-Shani

The material in this repository is a supplement to the manuscript titled, 'Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with overdispersion'. A PDF pre-print is available on ArXiv here: https://arxiv.org/abs/2104.00108

Cite As: Yap, J., Dziak, J.J., Maiti, R., Lynch, K., McKay, J.R., Chakraborty, B., Nahum-Shani, I. (2022). Code repository to accompany, `Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with overdispersion'. Retrieved from https://github.com/jamieyap/CountSMART, v2.0.0

The work in this repository was supported by the National Institutes of Health [R01DA039901 to J.Y., J.J.D., I.N.S., P50DA054039 to J.Y., J.J.D., I.N.S., P50DA039838 to J.J.D.] and Duke-NUS Medical School, Singapore [Startup Fund and Khoo Bridge Funding awards to B.C.]. J.Y., J.J.D., I.N.S. were with the Data Science For Dynamic Intervention Decision-Making Center (d3center) during the development of the work: d3center: https://d3c.isr.umich.edu/
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Publication date:
February 15, 2022
DOI:
10.5281/zenodo.6084980

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Version v2.0.0 10.5281/zenodo.6084980 Feb 15, 2022
Version v1.0 10.5281/zenodo.4653673 Mar 31, 2021
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