MRSPREP: Stata module to estimate marginal relative survival models

Paul Lambert ()
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Paul Lambert: University of Leicester

Statistical Software Components from Boston College Department of Economics

Abstract: mrsprep prepares data for fitting marginal relative survival models using parametric models. mrsprep obtains the mean expected hazard rate at each event time (weighted by the inverse of expected survival) and expands the data so that time-dependent weights can be incorporated when subsequently fitting models. By expanding the data and calculating weighted mean expected mortality rate and time-dependent weights, it is then possible to use standard relative survival estimation commands (e.g. stpm2 and strcs) to directly estimate marginal relative survival. Including individual weights enables external (age) standardization without the need to model the effect of age.

Language: Stata
Requires: Stata version 16
Keywords: survival; hazard rate; relative survival (search for similar items in EconPapers)
Date: 2020-12-29
Note: This module should be installed from within Stata by typing "ssc install mrsprep". 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.
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http://fmwww.bc.edu/repec/bocode/m/mrsprep.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mrsprep_example.ado sample code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mrsprep.sthlp help file (text/plain)

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