# A proportional hazards model for interval-censored data subject to instantaneous failures

@article{Gamage2018APH, title={A proportional hazards model for interval-censored data subject to instantaneous failures}, author={Prabhashi W. Withana Gamage and Monica Chaudari and Christopher S. McMahan and Michael R. Kosorok}, journal={arXiv: Methodology}, year={2018} }

The proportional hazards (PH) model is arguably one of the most popular models used to analyze time to event data arising from clinical trials and longitudinal studies, among many others. In many such studies, the event time of interest is not directly observed but is known relative to periodic examination times; i.e., practitioners observe either current status or interval-censored data. The analysis of data of this structure is often fraught with many difficulties. Further exacerbating this…

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