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

Jonathan Bartlett ()
Additional contact information
Jonathan Bartlett: AstraZeneca

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 11
Keywords: misclassification; logistic regression; logit; sensitivity; specificity (search for similar items in EconPapers)
Date: 2014-05-06, Revised 2019-02-03
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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/pvw.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pvwcalc.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pvw.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457825

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().