biostatistics-data-analytics-2018-posters-abstracts

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Journal of Computer Science & Systems Biology | ISSN: 0974-7230 | Volume: 11

Biostatistics and Bioinformatics

Big Data Analytics & Data Mining

International Conference on

September 26-27, 2018 | Chicago, USA

On a simple estimation of the proportional odds model under right truncation

Peng LIU

University of Alberta, Canada

etrospective sampling can be useful in epidemiological research for its convenience to explore an etiological association. One

particular retrospective sampling is that disease outcomes of the time-to-event type are collected subject to right truncation,

along with other covariates of interest. For regression analysis of the right-truncated time-to-event data, the so-called proportional

reverse-time hazards model has been proposed, but the interpretation of its regression parameters tends to be cumbersome, which has

greatly hampered its application in practice. In this paper, we instead consider the proportional odds model, an appealing alternative

to the popular proportional hazards model. Under the proportional odds model, there is an embedded relationship between the

reverse-time hazard function and the usual hazard function. Building on this relationship, we provide a simple procedure to estimate

the regression parameters in the proportional odds model for the right truncated data. Weighted and optimal estimations are also

studied.

J Comput Sci Syst Biol 2018, Volume: 11

DOI: 10.4172/0974-7230-C1-021