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Home/e-Resources/Computer Science & Information Technology/A conditional frailty model for bivariate interval-truncated failure time data: an application to a study on siblings diagnosed with schizophrenia
PeriodicalsComputer Science & Information Technology

A conditional frailty model for bivariate interval-truncated failure time data: an application to a study on siblings diagnosed with schizophrenia

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Abstract & Overview

Introduction Interval truncated failure time data arise when only those individuals with a failure time that lies within a certain interval are observed. When a failure time falls outside this truncation interval, no information regarding the subject is available. One may view this as a screening procedure

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Rinku Sutradhar, Richard J. Cook (2016). A conditional frailty model for bivariate interval-truncated failure time data: an application to a study on siblings diagnosed with schizophrenia. Journal of Medical Statistics and Informatics, 4(1), 1–1. https://doi.org/10.7243/2053-7662-4-1

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Sutradhar, R., & Cook, R. J. (2016). A conditional frailty model for bivariate interval-truncated failure time data: an application to a study on siblings diagnosed with schizophrenia. Journal of Medical Statistics and Informatics, 4(1), 1–1. https://doi.org/10.7243/2053-7662-4-1
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