Journal ArticleDOI
Toward Evidence-Based Medical Statistics. 2: The Bayes Factor
TLDR
The second article on evidence-based statistics explores the inductive Bayesian approach to measuring evidence and combining information and addresses the epistemologic uncertainties that affect beliefs in the absence of evidence.Abstract:
The second article on evidence-based statistics explores the inductive Bayesian approach to measuring evidence and combining information and addresses the epistemologic uncertainties that affect al...read more
Citations
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Journal ArticleDOI
The ASA's Statement on p-Values: Context, Process, and Purpose
TL;DR: The American Statistical Association (ASA) released a policy statement on p-values and statistical significance in 2015 as discussed by the authors, which was based on a discussion with the ASA Board of Trustees and concerned with reproducibility and replicability of scientific conclusions.
Journal ArticleDOI
Can cognitive processes be inferred from neuroimaging data
TL;DR: It is argued that cognitive neuroscientists should be circumspect in the use of reverse inference, particularly when selectivity of the region in question cannot be established or is known to be weak.
Journal ArticleDOI
A re-evaluation of random-effects meta-analysis
TL;DR: It is suggested that random-effects meta-analyses as currently conducted often fail to provide the key results, and the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods is investigated.
Journal ArticleDOI
The Abuse of Power: The Pervasive Fallacy of Power Calculations for Data Analysis
John M. Hoenig,Dennis M. Heisey +1 more
TL;DR: The problem of post-experiment power calculation is discussed in this paper. But, the problem is extensive and present arguments to demonstrate the flaw in the logic, which is fundamentally flawed.
Journal ArticleDOI
Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies
Sholom Wacholder,Stephen J. Chanock,Montserrat Garcia-Closas,Laure El ghormli,Nathaniel Rothman +4 more
TL;DR: This commentary shows how to assess the FPRP and how to use it to decide whether a finding is deserving of attention or "noteworthy" and shows how this approach can lead to improvements in the design, analysis, and interpretation of molecular epidemiology studies.
References
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Book
Judgment Under Uncertainty: Heuristics and Biases
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Book
Theory of probability
Harold Jeffreys,R. Bruce Lindsay +1 more
TL;DR: In this paper, the authors introduce the concept of direct probabilities, approximate methods and simplifications, and significant importance tests for various complications, including one new parameter, and various complications for frequency definitions and direct methods.
Journal ArticleDOI
Stastical Decision Theory and Bayesian Analysis.
Malay Ghosh,James O. Berger +1 more
Book
Statistical Decision Theory and Bayesian Analysis
TL;DR: An overview of statistical decision theory, which emphasizes the use and application of the philosophical ideas and mathematical structure of decision theory.
Journal ArticleDOI
What's wrong with Bonferroni adjustments
TL;DR: This paper advances the view, widely held by epidemiologists, that Bonferroni adjustments are, at best, unnecessary and, at worst, deleterious to sound statistical inference.