| Name : R-tipr
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.4
| Date : 2024-06-14 11:48:00
|
| Group : Development/Libraries/Other
| Source RPM : R-tipr-1.0.2-lp153.1.4.src.rpm
|
| Size : 0.32 MB
| |
| Packager : (none)
| |
| Summary : Tipping Point Analyses
|
Description :
The strength of evidence provided by epidemiological and observational
studies is inherently limited by the potential for unmeasured
confounding. We focus on three key quantities: the observed bound of
the confidence interval closest to the null, the relationship between
an unmeasured confounder and the outcome, for example a plausible
residual effect size for an unmeasured continuous or binary confounder,
and the relationship between an unmeasured confounder and the exposure,
for example a realistic mean difference or prevalence difference for
this hypothetical confounder between exposure groups. Building on the
methods put forth by Cornfield et al. (1959), Bross (1966),
Schlesselman (1978), Rosenbaum & Rubin (1983), Lin et al. (1998), Lash
et al. (2009), Rosenbaum (1986), Cinelli & Hazlett (2020), VanderWeele
& Ding (2017), and Ding & VanderWeele (2016), we can use these
quantities to assess how an unmeasured confounder may tip our result to
insignificance.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
