February 15, 2022 Software Open Access

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

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    <subfield code="a">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/</subfield>
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    <subfield code="a">&lt;p&gt;The material in this repository is a supplement to the manuscript titled, &amp;#39;Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with overdispersion&amp;#39;. A PDF pre-print is available on ArXiv here:&amp;nbsp;&lt;a href="https://arxiv.org/abs/2104.00108"&gt;https://arxiv.org/abs/2104.00108&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;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&amp;#39;. Retrieved from&amp;nbsp;&lt;a href="https://github.com/jamieyap/CountSMART"&gt;https://github.com/jamieyap/CountSMART&lt;/a&gt;, v2.0.0&lt;/p&gt;</subfield>
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