binMto-package {binMto}R Documentation

Asymptotic simultaneous confdence intervals for many-to-one comparisons of proportions

Description

Asymptotic simultaneous confidence intervals for comparison of many treatments with one control, for the difference of proportions, allows for Dunnett-like-adjustment, Bonferroni or unadjusted intervals.

Author(s)

Frank Schaarschmidt

Maintainer: <schaarschmidt@biostat.uni-hannover.de>

References

Piegorsch, W.W. (1991): Multiple comparisons for analyzing dichotomous response. Biometrics 47 (1), 45-52. Agresti, A. and Caffo, B. (2000): Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures. American Statistician 54 (4), 280-288. Brown, L. and Li, X. (2005): Confidence intervals for two sample binomial distribution. Journal of Statistical Planning and Inference 130, 359-375. Newcombe, R.G. (1998): Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in Medicine 17, 873-890.

Examples


# binMto:
# Calculate and plot approximate simultaneous
# confidene intervals for many-to-one comparisons of a
# dichotomous variable in a one-way model. 

# Example from Table 5 in Koch, HF and Hothorn, LA,
# JSPI 82, 83-99:
# A toxicity study with 100 mice randomised in 4 groups.
# Response x was number of deaths after 6 months.
# Control (n=40, x=4), 10 mg/kg (n=20, x=1),
# 50 mg/kg (n=20, x=6), 100 mg/kg (n=20, x=8).

# Approximate simultaneous 95

many21<-binMto(n=c(40,20,20,20), x=c(4,1,6,8),
 names=c("Control", "10mg", "50mg", "100mg"))

many21

plot(many21)

# Note that normal approximation becomes problematic for np(1-p)<2.


[Package binMto version 0.0-3 Index]