st: New -factext- and -senspec- packages on SSC

[Roger Newson <roger.newson@kcl.ac.uk>]

Hello All

Thanks to Kit Baum, there is now a new package -senspec-, and a new version 
of -factext-, available for download from SSC. In Stata, use the -ssc- 
command to describe and install these.

The -senspec- and -factext- packages are described as below on my website. 
-senspec- is a new package. The new version of -factext- fixes a 
rarely-encountered confusing warning message, which is now suppressed.

Best wishes

Roger


------------------------------------------------------------------------------------
package senspec from http://www.kcl-phs.org.uk/rogernewson/stata8
------------------------------------------------------------------------------------

TITLE
      senspec: Sensitivity and specificity results saved in generated 
variables

DESCRIPTION/AUTHOR(S)
      senspec inputs a reference variable with two values and a quantitative
      classification variable. It creates, as output, a set of new variables,
      containing, in each observation, the numbers and/or rates of true 
positives,
      true negatives, false positives and false negatives observed if the
      classification variable is used to define a diagnostic test, with a 
threshold
      equal to the value of the classification variable for that 
observation. The
      reference variable indicates the true state of the observation, such as
      diseased and non-diseased, or normal and abnormal. The rating or 
outcome of
      the diagnostic test is recorded in the classification variable. 
senspec is
      similar to roctab, but produces output variables instead of plots and
      listings, so that users can create plots and listings in their own 
chosen
      formats.

      Author: Roger Newson
      Distribution-Date: 24may2004
      Stata-Version: 8

INSTALLATION FILES                                  (click here to install)
      senspec.ado
      senspec.hlp
------------------------------------------------------------------------------------
(click here to return to the previous screen)


------------------------------------------------------------------------------------
package factext from http://www.kcl-phs.org.uk/rogernewson/stata7
------------------------------------------------------------------------------------

TITLE
      factext: Extract factor values from a label variable created by parmest

DESCRIPTION/AUTHOR(S)
      factext is used to extract factors (categorical variables) from a
      label variable in an output data set created by the parmest package.
      The parmest package creates a data set with 1 obs per estimated 
parameter
      and data on the parameter estimates, confidence limits, P-values, and
      (optionally) also a variable named label, containing the variable 
label for
      the X-variable corresponding to the parameter. If the X-variable is 
a dummy
      variable created by xi, tabulate or John Hendrickx's desmat package, 
then the
      value of label will be of the form "varname==value", where varname is a
      variable name and value is a numeric or string  value. factext uses this
      information to create new factors (categorical variables) with the 
specified
      varnames and values. These new variables can then be used to produce 
tables
      and/or plots. factext can be used together with the descsave 
package, also
      downloadable from SSC or from this website.

      Author: Roger Newson
      Distribution-Date: 26may2004
      Stata-Version: 7

INSTALLATION FILES                                  (click here to install)
      factext.ado
      factext.hlp
------------------------------------------------------------------------------------
(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: roger.newson@kcl.ac.uk
Website: http://www.kcl-phs.org.uk/rogernewson

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

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