Survival analysis under cross-sectional sampling: length bias and multiplicative censoring
By Bert Van Es, Chris A. J. Klaassen, K. Oudshoorn. 2000
67 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bfc6a1bafb0b83d10d11e84f1bbed0d21727f118
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In Statistics and Probability
Citations in the corpus
- Nonparametric estimation under length-biased sampling and Type I censoring: A moment based approach (2004, unknown): “for some TL > 0. See for example Winter and Fbldes (1988), Lancaster (1990), Wang (1991), and van Es et al. (2000) .”
- Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data (2005, background): “Other sampling schemes have been discussed in the literature and can be depicted using the Lexis diagram [7, 17, 18], and it is possible to carry out inference from a prevalent cohort study under appropriate restrictions when there is no follow-up [15, 16, 20].”
- Childhood adversities and adult psychopathology in the National Comorbidity Survey Replication (NCS-R) II: Associations with persistence of DSM-IV disorders (2010, unknown): “Empirical comparison of predictor coefficients in such models with the coefficients in prospective timeto-next-event survival models (ie, models that use the more detailed information needed to study transitions prospectively by recording theageofeachof therespondent’s childrenandthe time between bi”