Literature DB >> 22268131

Transparency and disclosure, neutrality and balance: shared values or just shared words?

Sander Greenland1.   

Abstract

Values influence choice of methodology and thus influence every risk assessment and inference. To deal with this inescapable reality, we need to replace vague and unattainable calls for objectivity with more precise operational qualities. Among qualities that seem widely valued are transparency (openness) and neutrality (balance, fairness). Conformity of researchers to these qualities may be evaluated by considering whether their reports disclose key information desired by readers and whether their methodology encourages initial neutrality among hypotheses of concern. A case study is given in which two authors appearing to share these values and writing on ostensibly the same issues (disclosure and methodology) nonetheless appear to have very different concepts of what the values entail in practice. Thus, more precision is needed in explicating and implementing such values.

Entities:  

Mesh:

Year:  2012        PMID: 22268131     DOI: 10.1136/jech-2011-200459

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  7 in total

1.  For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates.

Authors:  Sander Greenland
Journal:  Eur J Epidemiol       Date:  2017-02-20       Impact factor: 8.082

2.  There are good clinical, scientific, and social reasons to strengthen links between biomedical and environmental research.

Authors:  Miquel Porta; Laura N Vandenberg
Journal:  J Clin Epidemiol       Date:  2019-03-21       Impact factor: 6.437

3.  Human contamination by persistent toxic substances: the rationale to improve exposure assessment.

Authors:  Miquel Porta
Journal:  Environ Sci Pollut Res Int       Date:  2014-08-30       Impact factor: 4.223

4.  Increasing value and reducing waste in research design, conduct, and analysis.

Authors:  John P A Ioannidis; Sander Greenland; Mark A Hlatky; Muin J Khoury; Malcolm R Macleod; David Moher; Kenneth F Schulz; Robert Tibshirani
Journal:  Lancet       Date:  2014-01-08       Impact factor: 79.321

5.  Null Hypothesis Testing ≠ Scientific Inference: A Critique of the Shaky Premise at the Heart of the Science and Values Debate, and a Defense of Value-Neutral Risk Assessment.

Authors:  Brian H MacGillivray
Journal:  Risk Anal       Date:  2019-02-11       Impact factor: 4.000

6.  Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.

Authors:  Sander Greenland; Stephen J Senn; Kenneth J Rothman; John B Carlin; Charles Poole; Steven N Goodman; Douglas G Altman
Journal:  Eur J Epidemiol       Date:  2016-05-21       Impact factor: 8.082

7.  Multiple comparisons controversies are about context and costs, not frequentism versus Bayesianism.

Authors:  Sander Greenland; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2019-09       Impact factor: 8.082

  7 in total

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