(Q47279798)

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Sample size and optimal design for logistic regression with binary interaction

scientific article published in January 2008

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scholarly article

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Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

title

Sample size and optimal design for logistic regression with binary interaction (English)

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stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

main subject

logistic regression model

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Eugene Demidenko

1

1 reference

stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

language of work or name

English

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publication date

1 January 2008

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stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

published in

Statistics in Medicine

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stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

volume

27

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Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

issue

1

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Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

page(s)

36-46

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stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

cites work

Power and sample size calculations for case-control studies of gene-environment interactions with a polytomous exposure variable

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Crossref

reference URL

https://api.crossref.org/works/10.1002%2FSIM.2980

retrieved

21 January 2018

A theoretical basis for investigating ambient air pollution and children's respiratory health

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Crossref

reference URL

https://api.crossref.org/works/10.1002%2FSIM.2980

retrieved

21 January 2018

Design of Studies for Medical Research

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stated in

Crossref

reference URL

https://api.crossref.org/works/10.1002%2FSIM.2980

retrieved

21 January 2018

Identifiers

DOI

10.1002/SIM.2980

1 reference

stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

PubMed ID

17634969

1 reference

stated in

Europe PubMed Central

13 January 2018

http://europepmc.org/abstract/MED/17634969

(Q47279798)

Sample size and optimal design for logistic regression with binary interaction

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