riskCommunicator

Estimates flexible epidemiological effect measures including both differences and ratios using the parametric G-formula developed as an alternative to inverse probability weighting. It is useful for estimating the impact of interventions in the presence of treatment-confounder-feedback. G-computation was originally described by Robbins (1986) doi:10.1016/0270-0255(86)90088-6 and has been described in detail by Ahern, Hubbard, and Galea (2009) doi:10.1093/aje/kwp015; Snowden, Rose, and Mortimer (2011) doi:10.1093/aje/kwq472; and Westreich et al. (2012) doi:10.1002/sim.5316.

Last 30 days

This package has been downloaded 287 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,963 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 02, 2024 with 67 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.