Augmented backward elimination: a pragmatic and purposeful way to develop statistical models. (Q35442013)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25415265%20AND%20SRC:MED&resulttype=core&format=json

23 February 2020

title

Augmented backward elimination: a pragmatic and purposeful way to develop statistical models (English)

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23 February 2020

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1

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23 February 2020

Max Plischke

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2

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23 February 2020

Georg Heinze

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4

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23 February 2020

author name string

Karen Leffondré

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3

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23 February 2020

language of work or name

English

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publication date

21 November 2014

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23 February 2020

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23 February 2020

volume

9

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23 February 2020

issue

11

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23 February 2020

page(s)

e113677

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Creative Commons Attribution 4.0 International

23 February 2020

copyright license

start time

21 November 2014

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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An overview of the objectives of and the approaches to propensity score analyses

12 July 2018

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Purposeful selection of variables in logistic regression

12 July 2018

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Testing for causality and prognosis: etiological and prognostic models

12 July 2018

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The role of renin-angiotensin-aldosterone system in the progression of chronic kidney disease

12 July 2018

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Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets.

12 July 2018

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Maternal pesticide exposure from multiple sources and selected congenital anomalies

12 July 2018

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A simulation study of the number of events per variable in logistic regression analysis

12 July 2018

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The impact of confounder selection criteria on effect estimation

12 July 2018

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Predictive value of statistical models

12 July 2018

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On model selection and model misspecification in causal inference.

12 July 2018

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Quantifying biases in causal models: classical confounding vs collider-stratification bias.

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Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis

26 September 2018

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Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates

26 September 2018

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Simulation study of confounder-selection strategies.

26 September 2018

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21 January 2018

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21 January 2018

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12 December 2020

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12 December 2020

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12 December 2020

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23 February 2020

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