Usage
tdasci(x1, n1, x2 = NULL, n2 = NULL, distrib = "bin", contrast = "RD",
level = 0.95, cc = 0, delta = NULL, theta0 = NULL, precis = 6,
plot = FALSE, plotmax = 100, weighting = "IVS", wt = NULL, ...)
Arguments
x1, x2
Numeric vectors of numbers of events in group 1 & group 2
respectively.
n1, n2
Numeric vectors of sample sizes (for binomial rates) or exposure
times (for Poisson rates) in each group.
distrib
Character string indicating distribution assumed for the input
data: "bin" = binomial (default), "poi" = Poisson.
contrast
Character string indicating the contrast of interest: "RD" =
rate difference (default), "RR" = rate ratio, "OR" = odds ratio, "p" =
single proportion.
level
Number specifying confidence level (between 0 and 1, default
0.95).
cc
Number or logical (default FALSE) specifying (amount of) continuity
correction.
delta
(deprecated: parameter renamed to theta0)
theta0
Number to be used in a one-sided significance test (e.g.
non-inferiority margin). 1-sided p-value will be <0.025 iff 2-sided 95% CI
excludes theta0. NB: can also be used for a superiority test by setting
theta0 = 0 (RD) or 1 (RR/OR). By default, a two-sided test against theta0 = 0 or 1
is also output: if bcf=F and skew=F this is the same as Pearson's Chi-squared test.
precis
Number (default 6) specifying precision to be used in
optimisation subroutine (i.e. number of decimal places).
plot
Logical (default FALSE) indicating whether to output plot of the
score function
plotmax
Numeric value indicating maximum value to be displayed on
x-axis of plots (useful for ratio contrasts which can be infinite).
weighting
String indicating which weighting method to use if
stratified = "TRUE": "IVS" = Inverse Variance of Score (default), "MH" =
Mantel-Haenszel, "MN" = Miettinen-Nurminen iterative weights.
wt
Numeric vector containing (optional) user-specified weights.