Designing Multi-Arm Multi-Stage Studies

Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.


News

---------------------MAMS NEWS-------------------------------------------

MAMS is an R package for designing multi-arm multi stage studies. If you are using the package, please cite it as

Magirr D, Jaki T, Whitehead J (2012) A generalized Dunnett Test for Multi-arm Multi-stage Clinical Studies with Treatment Selection. Biometrika. 99(2):494-501.

Question or suggestions about the package can be sent to

[email protected]

--------------------CHANGE LOG-------------------------------------------- Version 1.3

o References updated


Version 1.2

o New function 'ordinal.mams' for ordinal and binary endpoints o New function 'tite.mams' for time-to-event endpoints o Effect sizes can be specified on traditional or probability scale o Search for sample size is capped at a maximum value o Harmonised function and input names (most notably, 'step_down_mams' and 'update_mams' are now called 'stepdown.mams' and 'stepdown.update') o Corrected minor bugs in 'mams'


Version 1.1

o Corrected minor bug in mams.sim for K=1


Version 1.0

o Altered mams function to improve consistency for different allocation ratios


Version 0.9

o Corrected a bug in update_mams


Version 0.8

o Removal of some depreciated code


Version 0.7

o Modified print and summary to only return integer sample sizes o Updated mams function to deal with minor inconsistency when J=1


Version 0.6

o Corrected a bug in new.bounds o Corrected a bug in mams.sim o A few minor bugs in the plot functions corrected o Arguments bty and las for the plot functions added o Inconsistencies in the documentation removed


Version 0.5

o A bug in function mams.sim corrected


Version 0.4

o A bug in function mams corrected


Version 0.3

o New function (step_down_mams) to calculate stopping boundaries for all intersection hypothesis tests in a closed testing procedure. o New function (update_mams) to update boundaries at an interim analysis to take account of unplanned treatment selection and/or sample size reestimation. o Documentation updated


Version 0.2

o New function (mams.sim) to simulate mams studies included o New function (new.bounds) to update boundaries based on observed number of observations included o Citation information updated o Output data.frame of function mams generalized o Additional option to supress sample size calculation included in function mams o Documentation updated


Version 0.1

o Initial release


Reference manual

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install.packages("MAMS")

1.4.1 by Thomas Jaki, 8 days ago


Browse source code at https://github.com/cran/MAMS


Authors: Thomas Jaki <[email protected]> , Dominic Magirr <[email protected]> , Philip Pallmann <[email protected]>


Documentation:   PDF Manual  


Task views: Design of Experiments (DoE) & Analysis of Experimental Data


GPL-2 license


Depends on mvtnorm, methods


Suggested by BayesMAMS.


See at CRAN