Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: New package -metapow- available on SSC


From   "CROWTHER, Michael" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   st: New package -metapow- available on SSC
Date   Fri, 10 Aug 2012 11:39:42 +0100

Thanks to Kit Baum, a new package -metapow- is available on SSC. Stata 11.2 is required and please use -ssc- to install.

The -metapow- package contains a suite of programs which enable the user to estimate the probability the conclusions of a meta-analysis will change with the inclusion of a new study(ies). Using the -metasim- program, a simulation approach to estimating the effects in future studies is taken. The method assumes that the effect sizes of future studies are consistent with those observed previously, as represented by the current meta-analysis. Both the contexts of two-arm randomised controlled trials and studies of diagnostic test accuracy are considered for a variety of outcome measures.  Calculations are possible under both fixed and random effect assumptions and several approaches to inference including statistical significance and limits of clinical significance are possible. Calculations for specific sample sizes can be conducted (using -metapow-), and plots, akin to traditional power curves, indicating the probability a new study(ies) will change inferences for a range of !
 sample sizes can be produced (using -metapowplot-). We hope the package will be useful to i) trialists who want to assess the impact potential new trials will have on the overall evidence base; and ii) meta-analysts who want to assess the robustness of the current meta-analysis to the inclusion of future data.

Cheers,
Michael

Michael Crowther
NIHR Methods Fellow in Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
Adrian Building
University Road
Leicester LE1 7RH

Tel: 0116 229 7278
E-mail: [email protected]
Homepage: http://www2.le.ac.uk/departments/health-sciences/research/biostats/staff-pages/mjc76/
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index