Stata The Stata listserver
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: New package -metaparm- on SSC

From   Roger Newson <[email protected]>
To   [email protected]
Subject   st: New package -metaparm- on SSC
Date   Wed, 10 Nov 2004 15:10:19 +0000

Hello All

Thanks to Kit Baum, there is now a new package -metaparm- available for download from SSC. In Stata 8, use the -ssc- command to download it.

-metaparm- is described as below on my website, and is intended for use with -parmest- and -eclplot- (also downloadable from SSC). I would like to thank Jill Starkes and Lee Sieswerda of Thunder Bay District Health Unit for drawing my attention to the example of the delta method used to calculate the confidence intervals displayed (but not saved) by -svytab-, which I have used as an example in the online help for -metaparm-.

Best wishes


package metaparm from

metaparm: Meta-analysis and transformations using parmest resultssets


The metaparm package contains two resultsset-processing programs, parmcip
and metaparm, for use with parmest resultssets. metaparm inputs a dataset
in memory with one observation per parameter and variables containing
estimates, standard errors and (optionally) degrees of freedom, and creates
an output dataset with one observation, or one observation per by-group, and
data on estimates, standard errors, z- or t-statistics, P-values and
confidence limits for a linear combination (weighted sum) of the input
parameters, assuming that the input parameters are estimated independently
for different sub-populations. The output dataset can be listed to the Stata
log, saved to a disk file, or written to memory, overwriting the existing
dataset. metaparm is useful for meta-analyses and for calculating confidence
intervals and P-values for differences or ratios between parameters for
different subpopulations. parmcip inputs a dataset in memory with one
observation per parameter and variables containing parameter estimates,
standard errors and (optionally) degrees of freedom, and adds new variables
to the dataset, containing the confidence limits, z- or t-statistics,
P-values, and (optionally) stars for P-values. parmcip is useful if the user
requires confidence intervals for a transformation of the original

Author: Roger Newson
Distribution-Date: 09november2004
Stata-Version: 8

INSTALLATION FILES (click here to install)
(click here to return to the previous screen)

Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
King's College London
5th Floor, Capital House
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
Fax: 020 7848 6620 International +44 20 7848 6620
or 020 7848 6605 International +44 20 7848 6605
Email: [email protected]

Opinions expressed are those of the author, not the institution.

* For searches and help try:

© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index