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This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. Since ordinal severity measurements arise from a single patient dependencies among the measurements have to be accounted for. For this the autoregressive ordinal...
Persistent link: https://www.econbiz.de/10010275912
This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. Since ordinal severity measurements arise from a single patient, dependencies among the measurements have to be accounted for. For this the autoregressive ordinal...
Persistent link: https://www.econbiz.de/10010275914
time, and parameter estimation is by maximum likelihood. Model selection and choice of knots for the spline function are …
Persistent link: https://www.econbiz.de/10009442279
Royston (2001)and Royston and Parmar (2002) introduced flexible parametric models for survival analysis, implemented in Stata through the ado-file stpm (Royston 2001). In the present article, stpm is updated to Stata 8.1 and has been shown to work correctly with Stata 8.2. To increase the...
Persistent link: https://www.econbiz.de/10005583257
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This article describes the gologit2 program for generalized ordered logit models. gologit2 is inspired by Vincent Fu’s gologit routine (Stata Technical Bulletin Reprints 8: 160–164) and is backward compatible with it but offers several additional powerful options. A major strength of...
Persistent link: https://www.econbiz.de/10005748366
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, and parameter estimation is by maximum likelihood. Model selection and choice of knots for the spline function are …
Persistent link: https://www.econbiz.de/10005568793