ratesci: Confidence Intervals for Comparisons of Binomial or Poisson
Rates
Computes confidence intervals for the rate (or risk)
difference ('RD') or rate ratio (or relative risk, 'RR') for
binomial proportions or Poisson rates, or for odds ratio
('OR', binomial only). Also confidence intervals for a single
binomial or Poisson rate, and intervals for matched pairs.
Includes skewness-corrected asymptotic score ('SCAS') methods,
which have been developed in Laud (2017) <doi:10.1002/pst.1813>
from Miettinen & Nurminen (1985) <doi:10.1002/sim.4780040211> and
Gart & Nam (1988) <doi:10.2307/2531848>. The same score produces
hypothesis tests analogous to the test for binomial RD and RR by
Farrington & Manning (1990) <doi:10.1002/sim.4780091208>, or the
McNemar test for paired data.
The package also includes MOVER methods
(Method Of Variance Estimates Recovery) for all contrasts, derived
from the Newcombe method but with options to use equal-tailed
intervals in place of the Wilson score method,
and generalised for Bayesian applications incorporating prior
information. So-called 'exact' methods for strictly conservative
coverage are approximated using continuity corrections, and the amount
of correction can be selected to avoid over-conservative coverage.
Also includes methods for stratified calculations (e.g. meta-analysis),
either assuming fixed effects (matching the CMH test) or incorporating
stratum heterogeneity.
Documentation:
Downloads:
Reverse dependencies:
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