study.exact: Compute the exact confidence interval and p-value based on a...

In exactmeta: Exact fixed effect meta analysis

Description

Compute the exact confidence interval and p-value for risk difference, risk ratio, rate difference and rate ratio based on data from an individual study.

Usage

study.exact(x1, x2, n1, n2, type="risk difference", BB.grdnum=2000, cov.prob=0.95, 

midp=T)

Arguments

x1	The number of events in arm 1.
x2	The number of events in arm 2.
n1	The sample size of arm 1 when type="risk difference" or "risk ratio"; The total follow-up time for patients in arm 1 when type="rate difference" or "rate ratio".
n2	The sample size of arm 2 when type="risk difference" or "risk ratio"; The total follow-up time for patients in arm 2 when type="rate difference" or "rate ratio".
type	Indicate the parameter of interest: it can be "risk difference" (the difference of two binomial proportions); "risk ratio" (the ratio of two binomial proportions); "rate difference" (the difference of two Poission rates) and "rate ratio" (the ratio of two Poisson rates).
BB.grdnum	The number of grid points used in searching the limits of the confidence interval
cov.prob	The coverage level of the constructed confidence interval
midp	The binary indicator for if the mid-p value is used in constructing the exact confidence interval.

Value

est	the point estimator
lower	the lower end of the confidence interval
upper	the upper end of the confidence interval
status	1 if the confidence interval is within the pre-specified range and 0 otherwise
p	the p value

Author(s)

Yilei Yu

Examples

study.exact(1, 2, 12, 10, BB.grdnum=100, type="risk difference")
study.exact(1, 2, 12, 10, BB.grdnum=100, type="rate difference")
study.exact(1, 2, 12, 10, BB.grdnum=100, type="risk ratio")
study.exact(1, 2, 12, 10, BB.grdnum=100, type="rate ratio")

exactmeta documentation built on May 2, 2019, 3:24 a.m.