Confirmatory analysis of survival data using left truncation of the life times of primary survivors

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Standard

Confirmatory analysis of survival data using left truncation of the life times of primary survivors. / Keiding, Niels; Bayer, Thomas; Watt‐Boolsen, Steen.

I: Statistics in Medicine, Bind 6, Nr. 8, 12.1987, s. 939-944.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Keiding, N, Bayer, T & Watt‐Boolsen, S 1987, 'Confirmatory analysis of survival data using left truncation of the life times of primary survivors', Statistics in Medicine, bind 6, nr. 8, s. 939-944. https://doi.org/10.1002/sim.4780060808

APA

Keiding, N., Bayer, T., & Watt‐Boolsen, S. (1987). Confirmatory analysis of survival data using left truncation of the life times of primary survivors. Statistics in Medicine, 6(8), 939-944. https://doi.org/10.1002/sim.4780060808

Vancouver

Keiding N, Bayer T, Watt‐Boolsen S. Confirmatory analysis of survival data using left truncation of the life times of primary survivors. Statistics in Medicine. 1987 dec.;6(8):939-944. https://doi.org/10.1002/sim.4780060808

Author

Keiding, Niels ; Bayer, Thomas ; Watt‐Boolsen, Steen. / Confirmatory analysis of survival data using left truncation of the life times of primary survivors. I: Statistics in Medicine. 1987 ; Bind 6, Nr. 8. s. 939-944.

Bibtex

@article{2c0695ba0caf4ab6ab76f3cf40c18e2d,
title = "Confirmatory analysis of survival data using left truncation of the life times of primary survivors",
abstract = "In survival analysis, as in other branches of applied statistics, confirmatory analysis is often requested before an initial finding can be cleared of suspicion of being due just to mass significance. This paper points out that the special temporal structure of the classical clinical trial with staggered entry allows re‐use of the initial survivors by left‐truncating their remaining survival times. This procedure can often save a considerable amount of calendar time. The procedure is illustrated by data from the Danish Breast Cancer Cooperative Group.",
keywords = "Breast cancer, Censored observations, Confirmatory analysis, Data splitting, Interim analysis, Left truncation, Mass significance, Survival analysis",
author = "Niels Keiding and Thomas Bayer and Steen Watt‐Boolsen",
year = "1987",
month = dec,
doi = "10.1002/sim.4780060808",
language = "English",
volume = "6",
pages = "939--944",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "JohnWiley & Sons Ltd",
number = "8",

}

RIS

TY - JOUR

T1 - Confirmatory analysis of survival data using left truncation of the life times of primary survivors

AU - Keiding, Niels

AU - Bayer, Thomas

AU - Watt‐Boolsen, Steen

PY - 1987/12

Y1 - 1987/12

N2 - In survival analysis, as in other branches of applied statistics, confirmatory analysis is often requested before an initial finding can be cleared of suspicion of being due just to mass significance. This paper points out that the special temporal structure of the classical clinical trial with staggered entry allows re‐use of the initial survivors by left‐truncating their remaining survival times. This procedure can often save a considerable amount of calendar time. The procedure is illustrated by data from the Danish Breast Cancer Cooperative Group.

AB - In survival analysis, as in other branches of applied statistics, confirmatory analysis is often requested before an initial finding can be cleared of suspicion of being due just to mass significance. This paper points out that the special temporal structure of the classical clinical trial with staggered entry allows re‐use of the initial survivors by left‐truncating their remaining survival times. This procedure can often save a considerable amount of calendar time. The procedure is illustrated by data from the Danish Breast Cancer Cooperative Group.

KW - Breast cancer

KW - Censored observations

KW - Confirmatory analysis

KW - Data splitting

KW - Interim analysis

KW - Left truncation

KW - Mass significance

KW - Survival analysis

UR - http://www.scopus.com/inward/record.url?scp=0023481220&partnerID=8YFLogxK

U2 - 10.1002/sim.4780060808

DO - 10.1002/sim.4780060808

M3 - Journal article

C2 - 3438619

AN - SCOPUS:0023481220

VL - 6

SP - 939

EP - 944

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 8

ER -

ID: 202336256