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.