Literature DB >> 34368597

The importance of having a conceptual stage when reporting non-randomized studies.

M-A C Bind1, D B Rubin2,3.   

Abstract

Formal guidelines for statistical reporting of non-randomized studies are important for journals that publish results of such studies. Although it is gratifying to see some journals providing guidelines for statistical reporting, we feel that the current guidelines that we have seen are not entirely adequate when the study is used to draw causal conclusions. We therefore offer some comments on ways to improve these studies. In particular, we discuss and illustrate what we regard as the need for an essential initial stage of any such statistical analysis, the conceptual stage, which formally describes the embedding of a non-randomized study within a hypothetical randomized experiment.

Entities:  

Year:  2021        PMID: 34368597      PMCID: PMC8340913          DOI: 10.1080/24709360.2021.1913707

Source DB:  PubMed          Journal:  Biostat Epidemiol        ISSN: 2470-9360


  16 in total

Review 1.  Statistical models for causation: what inferential leverage do they provide?

Authors:  David A Freedman
Journal:  Eval Rev       Date:  2006-12

2.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  Epidemiology       Date:  2007-11       Impact factor: 4.822

3.  Bridging observational studies and randomized experiments by embedding the former in the latter.

Authors:  Marie-Abele C Bind; Donald B Rubin
Journal:  Stat Methods Med Res       Date:  2017-11-29       Impact factor: 3.021

4.  New Guidelines for Statistical Reporting in the Journal.

Authors:  David Harrington; Ralph B D'Agostino; Constantine Gatsonis; Joseph W Hogan; David J Hunter; Sharon-Lise T Normand; Jeffrey M Drazen; Mary Beth Hamel
Journal:  N Engl J Med       Date:  2019-07-18       Impact factor: 91.245

5.  Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution-multiple sclerosis relapses relationship.

Authors:  Alice J Sommer; Emmanuelle Leray; Young Lee; Marie-Abèle C Bind
Journal:  Stat Med       Date:  2020-12-16       Impact factor: 2.373

6.  The Pollution Particulate Concentrator (PoPCon): A platform to investigate the effects of particulate air pollutants on viral infectivity.

Authors:  Nicolas Groulx; Bruce Urch; Caroline Duchaine; Samira Mubareka; James A Scott
Journal:  Sci Total Environ       Date:  2018-02-20       Impact factor: 7.963

7.  Health impact assessment of increasing public transport and cycling use in Barcelona: a morbidity and burden of disease approach.

Authors:  D Rojas-Rueda; A de Nazelle; O Teixidó; M J Nieuwenhuijsen
Journal:  Prev Med       Date:  2013-08-09       Impact factor: 4.018

8.  A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text], and [Formula: see text] on Mortality.

Authors:  Joel Schwartz; Kelvin Fong; Antonella Zanobetti
Journal:  Environ Health Perspect       Date:  2018-08       Impact factor: 9.031

9.  Comparing apples to apples: an environmental criminology analysis of the effects of heat and rain on violent crimes in Boston.

Authors:  Alice J Sommer; Mihye Lee; Marie-Abèle C Bind
Journal:  Palgrave Commun       Date:  2018-11-20

10.  When possible, report a Fisher-exact P value and display its underlying null randomization distribution.

Authors:  M-A C Bind; D B Rubin
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

View more
  1 in total

1.  Improving the design stage of air pollution studies based on wind patterns.

Authors:  Léo Zabrocki; Anna Alari; Tarik Benmarhnia
Journal:  Sci Rep       Date:  2022-05-13       Impact factor: 4.996

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.