Thanks one more time to Kit Baum, new versions of the docxtab and ipwbreg packages are now available for download from SSC. In Stata, use the ssc command do do this, or adoupdate if you already have old versions of these packages.
The docxtab and ipwbreg packages are described as below on my website. The new version of docxtab corrects some typos in the online help file. The new version of ipwbreg adds options ltrim(#) and rtrim(#), specifying that predicted probabilities are to be left-trimmed or right-trimmed at the specified numbers if less than of greater than the specified numbers, respectively.
Best wishes
Roger
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package docxtab from http://www.rogernewsonresources.org.uk/stata16
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TITLE
docxtab: List variables to a .docx table with head or foot rows from characteristics
DESCRIPTION/AUTHOR(S)
docxtab lists the variables in the varlist (or all variables, if the
varlist is absent) to an Office Open XML (.docx) table acceptable to
putdocx table, with added header rows above and footer rows below,
extracted from variable characteristics. These characteristics may
be multiple (allowing multiple header and footer rows), and each
characteristic may be set for multiple variables by the SSC package
chardef. The generated .docx table table can then be modified using
other putdocx table commands, to change the formatting of rows,
columns, or cells.
Author: Roger Newson
Distribution-Date: 24july2022
Stata-Version: 16
INSTALLATION FILES (click here to install)
docxtab.ado
docxtab.sthlp
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(click here to return to the previous screen)
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package ipwbreg from http://www.rogernewsonresources.org.uk/stata16
-------------------------------------------------------------------------------------------
TITLE
ipwbreg: Inverse propensity weights from Bernoulli regression
DESCRIPTION/AUTHOR(S)
ipwbreg fits a Bernoulli generalized linear regression model
for a binary dependent variable in a list of independent
variables, and then outputs a list of inverse propensity
weight variables. These propensity weight variables may be
used to estimate propensity-adjusted effects of the binary
treatment on an outcome variable. ipwbreg requires the xlink
package, if it is used with the extra link functions for glm
supplied in xlink.
Author: Roger Newson
Distribution-Date: 24july2022
Stata-Version: 16
INSTALLATION FILES (click here to install)
ipwbreg.ado
ipwbreg.sthlp
-------------------------------------------------------------------------------------------
(click here to return to the previous screen)
The docxtab and ipwbreg packages are described as below on my website. The new version of docxtab corrects some typos in the online help file. The new version of ipwbreg adds options ltrim(#) and rtrim(#), specifying that predicted probabilities are to be left-trimmed or right-trimmed at the specified numbers if less than of greater than the specified numbers, respectively.
Best wishes
Roger
--------------------------------------------------------------------------------------------------------
package docxtab from http://www.rogernewsonresources.org.uk/stata16
--------------------------------------------------------------------------------------------------------
TITLE
docxtab: List variables to a .docx table with head or foot rows from characteristics
DESCRIPTION/AUTHOR(S)
docxtab lists the variables in the varlist (or all variables, if the
varlist is absent) to an Office Open XML (.docx) table acceptable to
putdocx table, with added header rows above and footer rows below,
extracted from variable characteristics. These characteristics may
be multiple (allowing multiple header and footer rows), and each
characteristic may be set for multiple variables by the SSC package
chardef. The generated .docx table table can then be modified using
other putdocx table commands, to change the formatting of rows,
columns, or cells.
Author: Roger Newson
Distribution-Date: 24july2022
Stata-Version: 16
INSTALLATION FILES (click here to install)
docxtab.ado
docxtab.sthlp
--------------------------------------------------------------------------------------------------------
(click here to return to the previous screen)
-------------------------------------------------------------------------------------------
package ipwbreg from http://www.rogernewsonresources.org.uk/stata16
-------------------------------------------------------------------------------------------
TITLE
ipwbreg: Inverse propensity weights from Bernoulli regression
DESCRIPTION/AUTHOR(S)
ipwbreg fits a Bernoulli generalized linear regression model
for a binary dependent variable in a list of independent
variables, and then outputs a list of inverse propensity
weight variables. These propensity weight variables may be
used to estimate propensity-adjusted effects of the binary
treatment on an outcome variable. ipwbreg requires the xlink
package, if it is used with the extra link functions for glm
supplied in xlink.
Author: Roger Newson
Distribution-Date: 24july2022
Stata-Version: 16
INSTALLATION FILES (click here to install)
ipwbreg.ado
ipwbreg.sthlp
-------------------------------------------------------------------------------------------
(click here to return to the previous screen)
