IntroductionIn many epidemiologic studies and disease prevention trials, the outcome of interest is a failure time that suffers from interval‐censoring, that is, the failure time cannot be exactly observed but only an interval that it belongs to is known or observed (e.g., Sun, ; Chen et al., ). One example of interval‐censored failure time data arises from HIV preventive vaccine trials where investigators are interested in assessing the association between antibody responses to a vaccine and the incidence of HIV infection (e.g., Gilbert et al., ). In this case, since the study subjects are tested for HIV infection only at discrete clinic visits instead of being continuously monitored, the time to HIV infection is known only to fall between two consecutive visits rather than being exactly observed and thus only interval‐censored data on the infection time are available. When the failure rate is low and the observation time intervals are wide, such as in the HIV vaccine trials mentioned above, a large cohort is often required so as to yield reliable precision on the exposure‐failure‐time relationship. Compounding to this issue, measurements of the exposure variable of interest are often expensive or difficult to obtain, such as the antibody levels
Biometrics – Wiley
Published: Jan 1, 2018
Keywords: ; ; ; ;
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