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OCRATIO: Stata modules to fit continuation-ratio models on ordinal response data

Author

Listed:
  • Rory Wolfe

    (Royal Children's Hospital, Parkville, Victoria)

Programming Language

Stata

Abstract

ocratio fits models based on continuation-ratio probabilities to ordinal responses (using maximum-likelihood). Three models are available using the logit, probit and complementary-log-log (f(x)=log[-log(1-x)]) functions. These models are an alternative to the models based on cumulative probabilities fitted by ologit and oprobit. ocratio also enables the fitting of a "ocloglog" model by using the cumulative option. This is possible because the "ocloglog" model is equivalent to the continuation-ratio complementary-log-log.

Suggested Citation

  • Rory Wolfe, 1998. "OCRATIO: Stata modules to fit continuation-ratio models on ordinal response data," Statistical Software Components S334801, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s334801
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    File URL: http://fmwww.bc.edu/repec/bocode/o/ocratio.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/o/ocrpred.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/o/ocratio.hlp
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    Keywords

    Stata;

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