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PVW: Stata module to perform predictive value weighting for covariate misclassification in logistic regression

Author

Listed:
  • Jonathan Bartlett

    (AstraZeneca)

Programming Language

Stata

Abstract

pvw implements the predictive value weighting approach for adjustment for misclassification in a binary covariate in a logistic regression model, as proposed by Lyles and Lin (2010). At present the command allows the user to specify fixed values for the sensitivity and specificity, and these are allowed to vary between cases and controls. In addition, the user must specify the covariates which are to be included in a model for the misclassified version of the variable given the outcome and other variables (Z|Y,C in the notation of Lyles and Lin (2010)). From this the command calculates predictive values, which are used to perform a weighted logistic regression model. Standard errors, p-values and confidence intervals are calculated using the bootstrap. The default behavior is to resample stratified on outcome, consistent with a case-control design. Specification of the cohort option performs unstratified bootstrap resampling.

Suggested Citation

  • Jonathan Bartlett, 2014. "PVW: Stata module to perform predictive value weighting for covariate misclassification in logistic regression," Statistical Software Components S457825, Boston College Department of Economics, revised 03 Feb 2019.
  • Handle: RePEc:boc:bocode:s457825
    Note: This module should be installed from within Stata by typing "ssc install pvw". 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/p/pvw.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/p/pvwcalc.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/p/pvw.sthlp
    File Function: help file
    Download Restriction: no
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