Literature DB >> 30977030

Generalizing from the results of randomized studies of treatment: Can non-randomized studies be of help?

Noel S Weiss1.   

Abstract

Mesh：

Year:  2019        PMID： 30977030     DOI： 10.1007/s10654-019-00516-3

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


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  4 in total

1.  New methods for generalizability and transportability: the new norm.

Authors:  Sunni L Mumford; Enrique F Schisterman
Journal:  Eur J Epidemiol       Date:  2019-06-07       Impact factor: 8.082

2.  Effect heterogeneity and variable selection for standardizing causal effects to a target population.

Authors:  Anders Huitfeldt; Sonja A Swanson; Mats J Stensrud; Etsuji Suzuki
Journal:  Eur J Epidemiol       Date:  2019-10-26       Impact factor: 8.082

3.  Using observational study data as an external control group for a clinical trial: an empirical comparison of methods to account for longitudinal missing data.

Authors:  Vibeke Norvang; Espen A Haavardsholm; Sara K Tedeschi; Houchen Lyu; Joseph Sexton; Maria D Mjaavatten; Tore K Kvien; Daniel H Solomon; Kazuki Yoshida
Journal:  BMC Med Res Methodol       Date:  2022-05-28       Impact factor: 4.612

4.  Objectives, design and main findings until 2020 from the Rotterdam Study.

Authors:  M Arfan Ikram; Guy Brusselle; Mohsen Ghanbari; André Goedegebure; M Kamran Ikram; Maryam Kavousi; Brenda C T Kieboom; Caroline C W Klaver; Robert J de Knegt; Annemarie I Luik; Tamar E C Nijsten; Robin P Peeters; Frank J A van Rooij; Bruno H Stricker; André G Uitterlinden; Meike W Vernooij; Trudy Voortman
Journal:  Eur J Epidemiol       Date:  2020-05-04       Impact factor: 8.082
  4 in total

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