IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting

Jann, Ben (2023). IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting. [Software & Other Digital Items]

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IPWLOGIT fits marginal logistic regression of a binary dependent variable on a treatment variable, possibly adjusting for control variables by inverse probability weighting (IPW). The resulting estimate can be interpreted as a marginal (log) odds ratio of a positive outcome. The treatment variable can be categorical, continuous, or discrete.

Item Type:

Software & Other Digital Items

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology

UniBE Contributor:

Jann, Ben

Subjects:

300 Social sciences, sociology & anthropology

Publisher:

Boston College Department of Economics

Language:

English

Submitter:

Ben Jann

Date Deposited:

23 Jan 2023 12:47

Last Modified:

23 Jan 2023 23:28

Related URLs:

Additional Information:

Statistical Software Components S459172

BORIS DOI:

10.48350/177660

URI:

https://boris.unibe.ch/id/eprint/177660

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