Prognostic models based on literature and individual patient data in logistic regression analysis (Q31456278)

2 July 2017

title

Prognostic models based on literature and individual patient data in logistic regression analysis (English)

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logistic regression model

2 July 2017

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based on heuristic

inferred from title

logistic regression analysis

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ORCID Public Data File 2021

J. Dik F. Habbema

object named as

Habbema JD

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2 July 2017

Steyerberg EW

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2 July 2017

Eijkemans MJ

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2 July 2017

Van Houwelingen JC

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2 July 2017

Lee KL

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2 July 2017

language of work or name

English

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publication date

1 January 2000

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2 July 2017

published in

Statistics in Medicine

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2 July 2017

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2 July 2017

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2 July 2017

page(s)

141-160

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Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors

2 July 2017

cites work

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Understanding research synthesis (meta-analysis).

21 January 2018

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Quantitative methods in the review of epidemiologic literature

21 January 2018

1 reference

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Meta-analysis in clinical trials

21 January 2018

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A likelihood approach to meta-analysis with random effects

21 January 2018

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Predictors of 30-day mortality in the era of reperfusion for acute myocardial infarction. Results from an international trial of 41,021 patients. GUSTO-I Investigators

21 January 2018

1 reference

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Predictive value of statistical models

21 January 2018

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21 January 2018

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Evaluating the yield of medical tests

21 January 2018

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Selection of thrombolytic therapy for individual patients: development of a clinical model. GUSTO-I Investigators

21 January 2018

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Reperfusion therapy for acute myocardial infarction. Which strategy for which patient?

21 January 2018

1 reference

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Probabilistic prediction in patient management and clinical trials

21 January 2018

1 reference

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Invited commentary: a critical look at some popular meta-analytic methods

21 January 2018

1 reference

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10.1002/(SICI)1097-0258(20000130)19:2<141::AID-SIM334>3.0.CO;2-O

21 January 2018

Identifiers

DOI

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2 July 2017

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