Description Usage Arguments Details Value Author(s) References See Also Examples
This function provides detailed sample size estimation information to determine the number of subjects that must be enrolled in a randomized trial with a binary outcome.
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pe |
The anticipated proportion of individuals in the experimental group with the outcome. |
pc |
The anticipated proportion of individuals in the control group with the outcome. |
AR |
The Allocation Ratio: One implies an equal number of subjects per treatment and control group (maximum efficiency), > 1, implies more subjects will be enrolled in the control group (e.g. in the case of costly intervention), < 1 implies more in the tretment group (rarely used). |
alpha |
The desired Type I Error Rate |
power |
The desired level of power, recall power = 1 - Type II Error. |
two.tailed |
Logical, If TRUE calculations are based on a two-tailed Type I error, if FALSE, a one-sided calculation is performed. |
digits |
Number of Digits to round calculations |
This function provides detailed information, similar to PROC POWER in SAS, but with less functionality and more concise output. It is used for sample size estimation in a randomized trial where the response is binary. A simple example may include whether an individual dies from a heart attack. In epidemiological terms, pe and pc can be thought of as the expected prevalence of the outcome in the experimental and control group.
nE |
The minimum number of subjects required in the Experimental group. |
nC |
The minimum number of subjects required in the Control group. |
pe |
The anticipated proportion of individuals in the experimental group with the outcome. |
pc |
The anticipated proportion of individuals in the control group with the outcome. |
alpha |
The desired Type I Error Rate |
power |
The desired level of power, recall power = 1 - Type II Error. |
AR |
The Allocation Ratio |
Michael Rotondi, mrotondi@yorku.ca
Matthews JNS. Introduction to Randomized Controlled Clinical Trials (2nd Ed.) Chapman & Hall: New York, 2006.
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