Code repository to accompany, "Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes"

The material in this repository is a supplement to the manuscript titled, Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes. A pre-print of the manuscript is available at 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. (2021). Code repository to accompany, "Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes". Retrieved from https://github.com/jamieyap/CountSMART v2.0.0

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

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 excess zeros'. A pre-print of the manuscript is available at 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. (2021). Code repository to accompany, "Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with excess zeros". Retrieved from https://github.com/jamieyap/CountSMART v1.0.0