Modeling Disease Progression with Longitudinal Markers. - Wikidata - awgldk - TriplyDB

Modeling Disease Progression with Longitudinal Markers.

Modeling Disease Progression with Longitudinal Markers.

http://www.wikidata.org/entity/Q37496290

about

Calibrating disease progression models using population data: a critical precursor to policy development in cancer control A Bivariate Mixed-Effects Location-Scale Model with application to Ecological Momentary Assessment (EMA) data A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer.A framework for the joint modeling of longitudinal diagnostic outcome data and latent infection status: application to investigating the temporal relationship between infection and disease.What if I don't treat my PSA-detected prostate cancer? Answers from three natural history models.Is prostate cancer screening cost-effective? A microsimulation model of prostate-specific antigen-based screening for British Columbia, Canada Screening for prostate cancer using multivariate mixed-effects models.Deriving benefit of early detection from biomarker-based prognostic models.Evaluation of new technologies for cancer control based on population trends in disease incidence and mortality.Lead time and overdiagnosis in prostate-specific antigen screening: importance of methods and context Screening for prostate cancer in the US? Reduce the harms and keep the benefit.

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P2860

Modeling Disease Progression with Longitudinal Markers.

http://www.wikidata.org/entity/Q37496290

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on January 2008

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Modeling Disease Progression with Longitudinal Markers.

@en

Modeling Disease Progression with Longitudinal Markers.

@nl

type

label

Modeling Disease Progression with Longitudinal Markers.

@en

Modeling Disease Progression with Longitudinal Markers.

@nl

prefLabel

Modeling Disease Progression with Longitudinal Markers.

@en

Modeling Disease Progression with Longitudinal Markers.

@nl

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Journal of the American Statistical Association

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Modeling Disease Progression with Longitudinal Markers.

@en

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Christopher Morrell

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Lurdes Y T Inoue

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Peter Müller

http://www.w3.org/2001/XMLSchema#string

Ruth Etzioni

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P2860

Analysis of doubly-censored survival data, with application to AIDS.

Modeling and optimization in early detection programs with a single exam.

Mutation and cancer: a model for human carcinogenesis.

Multistage carcinogenesis and the incidence of colorectal cancer.

Estimation of the duration of a pre-clinical disease state using screening data.

Recommended prostate-specific antigen testing intervals for the detection of curable prostate cancer.

Efficiency of prostate-specific antigen and digital rectal examination in screening, using 4.0 ng/ml and age-specific reference range as a cutoff for abnormal values.

Reconstruction and future trends of the AIDS epidemic in the United States.

Models for the HIV infection and AIDS epidemic in the United States.

Serial prostate specific antigen screening for prostate cancer: a computer model evaluates competing strategies.

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259-270

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scholarly article

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10.1198/016214507000000356

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103

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2008-01-01T00:00:00Z

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