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From |
"Newson, Roger B" <r.newson@imperial.ac.uk> |

To |
"'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |

Subject |
st: New version of -invcise- on SSC |

Date |
Mon, 8 Jun 2009 10:30:53 +0100 |

Thanks to Kit Baum, a new version of the -invcise- package is now available for download from SSC. In Stata, use the -ssc- command to do this, or use -adoupdate- if you already have an old version. The -invcise- package is described as below on my website. The new version adds a new option -eformestimate()-, for use when the user wants to compute standard errors for exponentiated parameters, equal to the standard error of the log of the parameter multiplied by the parameter. These standard errors, togethwer with the estimates, can be input to -parmcip- and -metaparm- with the -eform- option to produce exponentiated -parmest- resultssets, containing confidence limits for ratios, ratios between ratios, and geometric mean ratios. The online help contains an example, using -parmby- and -censlope- to calculate Hodges-Lehmann median ratios, and then using -invcise- and -metaparm- to calculate an interaction parameter (a ratio between median ratios) and a meta-analysis summary parameter (a geometric mean of median ratios). Best wishes Roger Roger B Newson BSc MSc DPhil Lecturer in Medical Statistics Respiratory Epidemiology and Public Health Group National Heart and Lung Institute Imperial College London Royal Brompton Campus Room 33, Emmanuel Kaye Building 1B Manresa Road London SW3 6LR UNITED KINGDOM Tel: +44 (0)20 7352 8121 ext 3381 Fax: +44 (0)20 7351 8322 Email: r.newson@imperial.ac.uk Web page: http://www.imperial.ac.uk/nhli/r.newson/ Departmental Web page: http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/ Opinions expressed are those of the author, not of the institution. ------------------------------------------------------------------------------------- package invcise from http://www.imperial.ac.uk/nhli/r.newson/stata10 ------------------------------------------------------------------------------------- TITLE invcise: Compute standard errors using the inverse confidence interval method DESCRIPTION/AUTHOR(S) invcise is intended for use in an output dataset (or resultsset), with one observation for each of a set of estimated parameters, and variables containing their confidence limits, and (optionally) containing the degrees of freedom used to calculate these confidence limits. Such datasets may be produced using the official Stata statsby prefix, or by the parmest package, downloadable from SSC. invcise uses the confidence limits to compute a new variable, containing standard errors for the parameters, using the inverse confidence interval method. These standard errors, together with parameter estimates in another variable in the dataset, may be used to calculate standard errors and confidence intervals for linear combinations of these parameters, using the metaparm module of the parmest package, assuming that the parameters are independently estimated. The inverse confidence interval method is frequently used with rank statistics, such as medians, median differences, and median slopes, to compute confidence intervals for linear combinations of these rank statistics, particularly differences between differences ("interactions") or weighted means of several differences ("meta-analysis summaries"). Author: Roger Newson Distribution-Date: 07june2009 Stata-Version: 10 INSTALLATION FILES (click here to install) invcise.ado invcise.sthlp ------------------------------------------------------------------------------------- (click here to return to the previous screen) * * 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/

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