Re: Current limits for understanding the underlying causal structures in observational epidemiology: reflections on refined mediation models and crude data.

Publikation: Bidrag til tidsskriftKommentar/debatForskning

Standard

Re: Current limits for understanding the underlying causal structures in observational epidemiology : reflections on refined mediation models and crude data. / Rod, Naja Hulvej; Lange, Theis.

I: Epidemiology, Bind 28, Nr. 6, 11.2017, s. e60-e61.

Publikation: Bidrag til tidsskriftKommentar/debatForskning

Harvard

Rod, NH & Lange, T 2017, 'Re: Current limits for understanding the underlying causal structures in observational epidemiology: reflections on refined mediation models and crude data.', Epidemiology, bind 28, nr. 6, s. e60-e61. https://doi.org/10.1097/EDE.0000000000000708

APA

Rod, N. H., & Lange, T. (2017). Re: Current limits for understanding the underlying causal structures in observational epidemiology: reflections on refined mediation models and crude data. Epidemiology, 28(6), e60-e61. https://doi.org/10.1097/EDE.0000000000000708

Vancouver

Rod NH, Lange T. Re: Current limits for understanding the underlying causal structures in observational epidemiology: reflections on refined mediation models and crude data. Epidemiology. 2017 nov.;28(6):e60-e61. https://doi.org/10.1097/EDE.0000000000000708

Author

Rod, Naja Hulvej ; Lange, Theis. / Re: Current limits for understanding the underlying causal structures in observational epidemiology : reflections on refined mediation models and crude data. I: Epidemiology. 2017 ; Bind 28, Nr. 6. s. e60-e61.

Bibtex

@article{cbaf6fc5bc37410a8f6c629937d7ff25,
title = "Re: Current limits for understanding the underlying causal structures in observational epidemiology: reflections on refined mediation models and crude data.",
author = "Rod, {Naja Hulvej} and Theis Lange",
year = "2017",
month = nov,
doi = "10.1097/EDE.0000000000000708",
language = "English",
volume = "28",
pages = "e60--e61",
journal = "Epidemiology",
issn = "1044-3983",
publisher = "Lippincott Williams & Wilkins",
number = "6",

}

RIS

TY - JOUR

T1 - Re: Current limits for understanding the underlying causal structures in observational epidemiology

T2 - reflections on refined mediation models and crude data.

AU - Rod, Naja Hulvej

AU - Lange, Theis

PY - 2017/11

Y1 - 2017/11

U2 - 10.1097/EDE.0000000000000708

DO - 10.1097/EDE.0000000000000708

M3 - Comment/debate

C2 - 28678040

VL - 28

SP - e60-e61

JO - Epidemiology

JF - Epidemiology

SN - 1044-3983

IS - 6

ER -

ID: 183008076