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 936 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 35 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 9,641 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' 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.