RISKCALPLOT: Stata module to plot observed and model-predicted risks across values of discrete clinical scores

Suppachai Lawanaskol ()
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Suppachai Lawanaskol: Chaiprakarn Hospital, Chiang Mai, Thailand

Statistical Software Components from Boston College Department of Economics

Abstract: riskcalplot displays observed event risks and model-predicted risks across the distinct values of one to five discrete clinical scores. For each score value, the observed risk is the proportion of observations with endpoint=1. Marker size is proportional to the number of observations at that score value. Unless noci is specified, each observed risk is accompanied by an exact Clopper-Pearson binomial confidence interval. The confidence level is controlled by level(). A separate regression model is fitted for each score. model(logit) fits a logistic risk function. model(log) fits a modified Poisson model with a log link and robust standard errors. The command uses a common complete-case analysis sample containing nonmissing values for the endpoint and every score specified in the command.

Language: Stata
Requires: Stata version 16
Keywords: clinical scores; event risks; predicted risks (search for similar items in EconPapers)
Date: 2026-08-20
Note: This module should be installed from within Stata by typing "ssc install riskcalplot". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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http://fmwww.bc.edu/repec/bocode/r/riskcalplot.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/riskcalplot.sthlp help file (text/plain)

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