dstat

A d-statistic tests the null hypothesis of no treatment effect in a matched, nonrandomized study of the effects caused by treatments. A d-statistic focuses on subsets of matched pairs that demonstrate insensitivity to unmeasured bias in such an observational study, correcting for double-use of the data by conditional inference. This conditional inference can, in favorable circumstances, substantially increase the power of a sensitivity analysis (Rosenbaum (2010) doi:10.1007/978-1-4419-1213-8_14). There are two examples, one concerning unemployment from Lalive et al. (2006) doi:10.1111/j.1467-937X.2006.00406.x, the other concerning smoking and periodontal disease from Rosenbaum (2017) doi:10.1214/17-STS621.

Last 30 days

This package has been downloaded 150 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 6 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 2,286 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 Oct 16, 2024 with 52 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.