ci.ratio.poisson2: Confidence interval for a ratio of Poisson rates in a 2-group design
Description
Computes a confidence interval for a ratio of population Poisson rates in a
2-group design. The confidence interval is based on the binomial method
with an Agresti-Coull confidence interval. This function requires the number
of occurences of a specific event (f) that were observed over a specific
period of time (t) within each group.
Usage
ci.ratio.poisson2(alpha, f1, f2, t1, t2)
Value
Returns a 1-row matrix. The columns are:
Estimate - estimated ratio of Poisson rates
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Arguments
alpha
alpha value for 1-alpha confidence
f1
number of event occurences for group 1
f2
number of event occurences for group 2
t1
time period for group 1
t2
time period for group 2
Details
The time periods do not need to be integers and can be expressed in any unit
of time such as seconds, hours, or months. The occurances are assumed to be
independent of one another and the unknown occurance rate is assumed to be
constant over time within each group condition.