EValue

Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) doi:10.7326/M16-2607; Smith & VanderWeele (2019) doi:10.1097/EDE.0000000000001032; VanderWeele & Li (2019) doi:10.1093/aje/kwz133; Smith & VanderWeele (2021) doi:10.48550/arXiv.2005.02908). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) doi:10.1080/01621459.2018.1529598; Mathur & VanderWeele (2020b) doi:10.1097/EDE.0000000000001180) and for additive measures of effect modification (Mathur et al., under review).

Last 30 days

This package has been downloaded 930 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 29 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 9,684 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 75 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.