catt_asy: Asymptotic Cochran-Armitage trend test

In CATTexact: Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test

Description

catt_asy calculates the Cochran-Armitage trend test statistic (Cochran (1954), Armitage (1955)) and the one-sided p-value for the corresponding asymptotic test. The exact form of used test statistic can be found in the paper by Portier and Hoel (1984).

Usage

catt_asy(dose.ratings, totals, cases)

Arguments

dose.ratings	A vector of dose ratings, the i-th entry corresponds to the dose-rating of the i-th group. This vector must be strictly monotonically increasing
totals	The vector of total individuals per group, the i-th entry corresponds to the total number of individuals in the i-th group
cases	The vector of incidences per groups, the i-th entry corresponds to the number of incidences in the i-th group

Value

A list containing the value of the Cochran-Armitage Trend Test Statistic and its asymptotic p-value.

References

Armitage, P. Tests for linear trends in proportions and frequencies. Biometrics, 11 (1955): 375-386.

Cochran, W. G. Some methods for strengthening the common χ^2 tests, Biometrics. 10 (1954): 417-451.

Portier, C., and Hoel D. Type 1 error of trend tests in proportions and the design of cancer screens. Communications in Statistics-Theory and Methods, 13 (1984): 1-14.

Examples

d <- c(1,2,3,4)
n <- rep(20,4)
r <- c(1,4,3,8)

catt_asy(d, n, r)

CATTexact documentation built on July 8, 2020, 5:44 p.m.