Screening for prostate cancer using multivariate mixed-effects models (Q36009869)

11 August 2017

Screening for prostate cancer using multivariate mixed-effects models (English)

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11 August 2017

multivariate statistics

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Christopher H Morrell

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11 August 2017

Larry J Brant

2

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11 August 2017

Shan Sheng

3

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11 August 2017

E Jeffrey Metter

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11 August 2017

1 June 2012

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Journal of Applied Statistics

11 August 2017

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11 August 2017

39

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6

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11 August 2017

1151-1175

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describes a project that uses

11 August 2017

Bayes' theorem

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18 June 2022

https://europepmc.org/article/PMC/3367770

inferred from PubMed Central ID database lookup

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Prostate-cancer mortality in the USA and UK in 1975-2004: an ecological study

2 October 2017

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Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve

2 October 2017

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Use and misuse of the receiver operating characteristic curve in risk prediction

2 October 2017

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2 October 2017

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A parametric empirical Bayes method for cancer screening using longitudinal observations of a biomarker

2 October 2017

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Multiple imputation and posterior simulation for multivariate missing data in longitudinal studies

2 October 2017

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Latent variable models for longitudinal data with multiple continuous outcomes

2 October 2017

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2 October 2017

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Relationship between changes in prostate-specific antigen and prognosis of prostate cancer

2 October 2017

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Evaluation of changes in PSA in the management of men with prostate cancer

2 October 2017

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Measurement of Prostate-Specific Antigen in Serum as a Screening Test for Prostate Cancer

2 October 2017

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The prostate: an increasing medical problem

2 October 2017

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Longitudinal evaluation of prostate-specific antigen levels in men with and without prostate disease

2 October 2017

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2 October 2017

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11 July 2018

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21 January 2018

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Body mass index and risk of prostate cancer in U.S. health professionals

21 January 2018

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Serum testosterone and the risk of prostate cancer: potential implications for testosterone therapy

21 January 2018

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Predicting time to prostate cancer recurrence based on joint models for non-linear longitudinal biomarkers and event time outcomes.

21 January 2018

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Mixed-effects regression models for studying the natural history of prostate disease

21 January 2018

1 reference

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Statistical models for longitudinal biomarkers of disease onset.

21 January 2018

1 reference

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High levels of circulating testosterone are not associated with increased prostate cancer risk: a pooled prospective study

21 January 2018

1 reference

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Linear Transformations of Linear Mixed-Effects Models

21 January 2018

1 reference

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Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22679342

12 December 2020

inferred from PubMed ID database lookup

Predicting prostate specific antigen outcome preoperatively in the prostate specific antigen era

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22679342

12 December 2020

inferred from PubMed ID database lookup

Non-linear hierarchical models for monitoring compliance

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22679342

12 December 2020

inferred from PubMed ID database lookup

Identifiers

DOI

10.1080/02664763.2011.644523

1 reference

11 August 2017

1 reference

11 August 2017

1 reference