Interval-Censored Regression with Non-Proportional Hazards with Applications
نویسندگان
چکیده
Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the ratio between two individuals is constant. We present a Weibull model with covariables on location and scale parameters. By considering effects of only parameter, but also scale, regression should be able to adequately describe difference treatments. In addition, deviance residuals adapted interval censored exact proved satisfactory verify fit model. This information favors as an alternative proportional without masking effect explanatory variables.
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ژورنال
عنوان ژورنال: Stats
سال: 2023
ISSN: ['2571-905X']
DOI: https://doi.org/10.3390/stats6020041