Estimation from current-status data in continuous time

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Estimation from current-status data in continuous time. / Keiding, Niels; Begtrup, Kamilla; Scheike, Thomas H.; Hasibeder, Günther.

In: Lifetime Data Analysis, Vol. 2, No. 2, 06.1996, p. 119-129.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Keiding, N, Begtrup, K, Scheike, TH & Hasibeder, G 1996, 'Estimation from current-status data in continuous time', Lifetime Data Analysis, vol. 2, no. 2, pp. 119-129. https://doi.org/10.1007/BF00128570

APA

Keiding, N., Begtrup, K., Scheike, T. H., & Hasibeder, G. (1996). Estimation from current-status data in continuous time. Lifetime Data Analysis, 2(2), 119-129. https://doi.org/10.1007/BF00128570

Vancouver

Keiding N, Begtrup K, Scheike TH, Hasibeder G. Estimation from current-status data in continuous time. Lifetime Data Analysis. 1996 Jun;2(2):119-129. https://doi.org/10.1007/BF00128570

Author

Keiding, Niels ; Begtrup, Kamilla ; Scheike, Thomas H. ; Hasibeder, Günther. / Estimation from current-status data in continuous time. In: Lifetime Data Analysis. 1996 ; Vol. 2, No. 2. pp. 119-129.

Bibtex

@article{53337253c2564ad5854319f5904f6925,
title = "Estimation from current-status data in continuous time",
abstract = "The nonparametric maximum likelihood estimator for current-status data has been known for at least 40 years, but only recently have the mathematical-statistical properties been clarified. This note provides a case study in the important and often studied context of estimating age-specific immunization intensities from a seroprevalence survey. Fully parametric and spline-based alternatives (also based on continuous-time models) are given. The basic reproduction number R0 exemplifies estimation of a functional. The limitations implied by the necessarily rather restrictive epidemiological assumptions are briefly discussed.",
keywords = "Age-specific incidence, Basic reproduction number, Epidemiology, Smoothing splines, Weibull survival distribution",
author = "Niels Keiding and Kamilla Begtrup and Scheike, {Thomas H.} and G{\"u}nther Hasibeder",
year = "1996",
month = jun,
doi = "10.1007/BF00128570",
language = "English",
volume = "2",
pages = "119--129",
journal = "Lifetime Data Analysis",
issn = "1380-7870",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - Estimation from current-status data in continuous time

AU - Keiding, Niels

AU - Begtrup, Kamilla

AU - Scheike, Thomas H.

AU - Hasibeder, Günther

PY - 1996/6

Y1 - 1996/6

N2 - The nonparametric maximum likelihood estimator for current-status data has been known for at least 40 years, but only recently have the mathematical-statistical properties been clarified. This note provides a case study in the important and often studied context of estimating age-specific immunization intensities from a seroprevalence survey. Fully parametric and spline-based alternatives (also based on continuous-time models) are given. The basic reproduction number R0 exemplifies estimation of a functional. The limitations implied by the necessarily rather restrictive epidemiological assumptions are briefly discussed.

AB - The nonparametric maximum likelihood estimator for current-status data has been known for at least 40 years, but only recently have the mathematical-statistical properties been clarified. This note provides a case study in the important and often studied context of estimating age-specific immunization intensities from a seroprevalence survey. Fully parametric and spline-based alternatives (also based on continuous-time models) are given. The basic reproduction number R0 exemplifies estimation of a functional. The limitations implied by the necessarily rather restrictive epidemiological assumptions are briefly discussed.

KW - Age-specific incidence

KW - Basic reproduction number

KW - Epidemiology

KW - Smoothing splines

KW - Weibull survival distribution

UR - http://www.scopus.com/inward/record.url?scp=0030321329&partnerID=8YFLogxK

U2 - 10.1007/BF00128570

DO - 10.1007/BF00128570

M3 - Journal article

C2 - 9384639

AN - SCOPUS:0030321329

VL - 2

SP - 119

EP - 129

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

SN - 1380-7870

IS - 2

ER -

ID: 201613622