Quantifying lead-time bias in risk factor studies of cancer through simulation. - Wikidata - awgldk - TriplyDB

Quantifying lead-time bias in risk factor studies of cancer through simulation.

Quantifying lead-time bias in risk factor studies of cancer through simulation.

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A mathematical model of case-ascertainment bias: Applied to case-control studies nested within a randomized screening trial.Transarterial chemoembolization plus sorafenib for the management of unresectable hepatocellular carcinoma: a systematic review and meta-analysis

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Quantifying lead-time bias in risk factor studies of cancer through simulation.

http://www.wikidata.org/entity/Q37339529

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article científic

@ca

article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

@tr

scientific article published on 27 August 2013

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vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

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name

Quantifying lead-time bias in risk factor studies of cancer through simulation.

@en

Quantifying lead-time bias in risk factor studies of cancer through simulation.

@nl

type

label

Quantifying lead-time bias in risk factor studies of cancer through simulation.

@en

Quantifying lead-time bias in risk factor studies of cancer through simulation.

@nl

prefLabel

Quantifying lead-time bias in risk factor studies of cancer through simulation.

@en

Quantifying lead-time bias in risk factor studies of cancer through simulation.

@nl

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J.ANNEPIDEM.2013.07.021

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Annals of Epidemiology

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Quantifying lead-time bias in risk factor studies of cancer through simulation.

@en

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Bruce H Alexander

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Kristin E Anderson

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Rick J Jansen

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P2860

Mortality results from a randomized prostate-cancer screening trial

Screening and prostate-cancer mortality in a randomized European study

Cancer screening guidelines.

Unanswered questions in screening for prostate cancer.

Prostate-cancer mortality at 11 years of follow-up.

The accuracy and effectiveness of routine population screening with mammography, prostate-specific antigen, and prenatal ultrasound: a review of published scientific evidence.

Prostate cancer screening in the randomized Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial: mortality results after 13 years of follow-up.

Data analysis methods for inferring the natural history of chronic diseases.

Case-control studies of screening.

A novel form of ascertainment bias in case-control studies of cancer screening.

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735-741

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scholarly article

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10.1016/J.ANNEPIDEM.2013.07.021

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11

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Timothy R. Church

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2013-08-27T00:00:00Z

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256289785

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