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- W1608655373 abstract "Publisher Summary This chapter reviews present advances in the understanding of nonparametric estimation based on various forms of present status data. Throughout, a key assumption has been independence between the monitoring time variable C and the survival random variable, T , or counting process, X , of interest. An important future area of study with present status data concerns the relaxation of this assumption. A reasonable alternative to choosing monitoring times completely at random is to increase the “hazard” of monitoring shortly after an animal begins to lose weight as reflected in measurements of L ; this is likely to improve efficiency in estimation if the monitoring time is thereby closer to the time of tumor onset (i.e., T ). This monitoring scheme introduces dependence between C and T , and estimators are discussed in the chapter. As the present status data correspond with taking a single cross-sectional observation on individual survival processes, it is natural to consider similar questions where multiple cross-sectional observations are available at differing monitoring times for each individual. Data of this kind are often referred to as “panel data.”" @default.
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- W1608655373 date "2003-01-01" @default.
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- W1608655373 title "Current Status Data: Review, Recent Developments and Open Problems" @default.
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- W1608655373 doi "https://doi.org/10.1016/s0169-7161(03)23035-2" @default.
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