Confidence Intervals for Comparisons of Binomial or Poisson
Rates
person("Pete", "Laud", email = "p.j.laud@sheffield.ac.uk",
role = c("aut", "cre"))
Computes confidence intervals for the rate (or risk)
difference ("RD") or ratio ("RR") for independent binomial
proportions or Poisson rates, or for odds ratio ("OR", binomial
only). Also confidence intervals for a single binomial or
Poisson rate. Includes asymptotic score methods including
skewness corrections, which have been developed from Miettinen
& Nurminen (1985) <doi:10.1002/sim.4780040211> and Gart & Nam (1988)
<doi:10.2307/2531848>. Also includes MOVER methods
(Method Of Variance Estimates Recovery), derived from the
Newcombe method but using equal-tailed Jeffreys intervals.
Also methods for stratified calculations (e.g. meta-analysis),
either assuming fixed effects or incorporating stratum
heterogeneity.

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 asymptotic score methods including skewness corrections,
which have been developed in Laud (2017, in press)
from Miettinen & Nurminen (1985) <doi:10.1002/sim.4780040211> and
Gart & Nam (1988) <doi:10.2307/2531848>. Also includes MOVER methods
(Method Of Variance Estimates Recovery), derived from the
Newcombe method but using equal-tailed Jeffreys intervals,
and generalised for incorporating prior information.
Also methods for stratified calculations (e.g. meta-analysis),
either assuming fixed effects or incorporating stratum
heterogeneity.

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>. Also includes MOVER methods
(Method Of Variance Estimates Recovery) for all contrasts, derived
from the Newcombe method but using equal-tailed Jeffreys intervals,
and generalised for Bayesian applications incorporating prior
information. So-called 'exact' methods for strictly conservative
coverage are approximated using continuity corrections.
Also includes methods for stratified calculations (e.g. meta-analysis),
either assuming fixed effects or incorporating stratum
heterogeneity.