SimComp-package {SimComp}

Simultaneous Comparisons for Multiple Endpoints

Description

Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011 <doi:10.2202/1557-4679.1258>) or ratios (Hasler and Hothorn, 2012 <doi:10.1080/19466315.2011.633868>) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008 <doi:10.1002/bimj.200710466>) or covariance matrices (Hasler, 2014 <doi:10.1515/ijb-2012-0015>).

Details

The DESCRIPTION file:

Package:	SimComp
Type:	Package
Title:	Simultaneous Comparisons for Multiple Endpoints
Version:	3.3
Date:	2019-08-26
Author:	Mario Hasler, Christof Kluss
Maintainer:	Mario Hasler <[e-mail]>
Imports:	mvtnorm, multcomp, mratios, graphics, stats
Description:	Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011 <doi:10.2202/1557-4679.1258>) or ratios (Hasler and Hothorn, 2012 <doi:10.1080/19466315.2011.633868>) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008 <doi:10.1002/bimj.200710466>) or covariance matrices (Hasler, 2014 <doi:10.1515/ijb-2012-0015>).
License:	GPL
LazyLoad:	yes

Index of help topics:

DfSattDiff              Degrees of Freedom Accoding to Satterthwaite
                        (1946) for Differences of Means
DfSattRat               Degrees of Freedom Accoding to Satterthwaite
                        (1946) for Ratios of Means
SimCiDiff               Simultaneous Confidence Intervals for General
                        Contrasts (Differences) of Means of Multiple
                        Endpoints
SimCiRat                Simultaneous Confidence Intervals for General
                        Contrasts (Ratios) of Means of Multiple
                        Endpoints
SimComp-package         Simultaneous Comparisons for Multiple Endpoints
SimTestDiff             Simultaneous Tests for General Contrasts
                        (Differences) of Means of Multiple Endpoints
SimTestRat              Simultaneous Tests for General Contrasts
                        (Ratios) of Means of Multiple Endpoints
coagulation             Data from a clinical study of three sets of
                        extracorporeal circulation in heart-lung
                        machines
ermvnorm                Multivariate Normal Random Numbers with Exact
                        Parameters
plot.SimCi              Plot function for SimCi-objects
print.SimCi             Print function for SimCi-objects
print.SimTest           Print function for SimTest-objects
rcm                     Random Correlation Matrices
summary.SimCi           Summary function for SimCi-objects
summary.SimTest         Summary function for SimTest-objects

Author(s)

Mario Hasler, Christof Kluss

Maintainer: Mario Hasler <[e-mail]>

Thanks to: Frank Schaarschmidt, Gemechis Djira Dilba, Kornelius Rohmeyer

References

Hasler, M. and Hothorn, L.A. (2018): Multi-arm trials with multiple primary endpoints and missing values. Statistics in Medicine 37, 710–721, <doi:10.1002/sim.7542>.

Hasler, M. (2014): Multiple contrast tests for multiple endpoints in the presence of heteroscedasticity. The International Journal of Biostatistics 10, 17–28, <doi:10.1515/ijb-2012-0015>.

Hasler, M. and Hothorn, L.A. (2012): A multivariate Williams-type trend procedure. Statistics in Biopharmaceutical Research 4, 57–65, <doi:10.1080/19466315.2011.633868>.

Hasler, M. and Hothorn, L.A. (2011): A Dunnett-type procedure for multiple endpoints. The International Journal of Biostatistics 7, Article 3, <doi:10.2202/1557-4679.1258>.

Hasler, M. and Hothorn, L.A. (2008): Multiple contrast tests in the presence of heteroscedasticity. Biometrical Journal 50, 793–800, <doi:10.1002/bimj.200710466>.

Dilba, G. et al. (2006): Simultaneous confidence sets and confidence intervals for multiple ratios. Journal of Statistical Planning and Inference 136, 2640–2658, <doi:10.1016/j.jspi.2004.11.009>.

See Also

multcomp, mratios

Examples

# Example 1:
# A comparison of the groups B and H against the standard S, for endpoint
# Thromb.count, assuming unequal variances for the groups. This is an
# extension of the well-known Dunnett-test to the case of heteroscedasticity.

data(coagulation)

comp1 <- SimTestDiff(data=coagulation, grp="Group", resp="Thromb.count",
  type="Dunnett", base=3, alternative="greater", covar.equal=FALSE)
comp1

# Example 2:
# A comparison of the groups B and H against the standard S, simultaneously
# for all endpoints, assuming unequal covariance matrices for the groups. This is
# an extension of the well-known Dunnett-test to the case of heteroscedasticity
# and multiple endpoints.

data(coagulation)

comp2 <- SimTestDiff(data=coagulation, grp="Group", resp=c("Thromb.count","ADP","TRAP"),
  type="Dunnett", base=3, alternative="greater", covar.equal=FALSE)
summary(comp2)