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META_LR: Stata module to graph positive and negative likelihood ratios in diagnostic test

Author

Listed:
  • Aijing Shang

    (Institute of Social and Preventive Medicine, University Berne, Switzerland)

Programming Language

Stata

Abstract

meta_lr does mainly two things: it can do stratified meta-analysis of individual estimates theta1 and theta2 by stratavariables, save the stratified pooled estimates and their confidence intervals in new data set and draw them in one graph; if stratified variables are not given, meta_lr draw theta1 and theta2 and their confidence interval by individual study in one graph, with or without weighting. Combined meta-analysis results are shown in star. This command is mainly used to draw graph in diagnostic test. The user provides the effect estimate as thetas (e.g., log positive likelihood ratio and log negative likelihood ratio). Likewise, the user provides the standard error of thetas. Commands meta (STB-38, sbe16) and metareg (STB-42, sbe23) must be installed before using this command.

Suggested Citation

  • Aijing Shang, 2004. "META_LR: Stata module to graph positive and negative likelihood ratios in diagnostic test," Statistical Software Components S438601, Boston College Department of Economics, revised 19 Apr 2004.
    • Handle: RePEc:boc:bocode:s438601
    Note: This module may be installed from within Stata 8 by typing "ssc install meta_lr". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/m/meta_lr.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/meta_lr.hlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/meta_lr.dlg
    File Function: dialog file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/meta_lr_test.dta
    File Function: sample data file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/meta_lr_test.pdf
    File Function: sample output file
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