title: Statistical hypothesis testing and common misinterpretations: Should we abandon p-value in forensic science applications?
abstract: Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Various schools of thought, in particular frequentist and Bayesian, have promoted radically different solutions for taking a decision about the plausibility of competing hypotheses. Comprehensive philosophical comparisons about their advantages and drawbacks are widely available and continue to span over large debates in the literature. More recently, controversial discussion was initiated by an editorial decision of a scientific journal [1] to refuse any paper submitted for publication containing null hypothesis testing procedures. Since the large majority of papers published in forensic journals propose the evaluation of statistical evidence based on the so called p-values, it is of interest to expose the discussion of this journal's decision within the forensic science community. This paper aims to provide forensic science researchers with a primer on the main concepts and their implications for making informed methodological choices.
authors.affiliation: University of Lausanne, School of Criminal Justice, Lausanne, Switzerland.
authors.forename: F
authors.initials: F
authors.lastname: Taroni
authors.affiliation: University of Lausanne, School of Criminal Justice, Lausanne, Switzerland.
authors.forename: A
authors.initials: A
authors.lastname: Biedermann
authors.affiliation: Ca' Foscari University of Venice, Department of Economics, Venice, Italy. Electronic address: silvia.bozza@unive.it.
authors.forename: S
authors.initials: S
authors.lastname: Bozza
mesh_terms: D001499:Bayes Theorem; D001699:Biometry; D035081:Editorial Policies; D044707:Forensic Sciences / Q000706:statistics & numerical data*; D006801:Humans
keywords: Bayesian methodology; Bayes’ theorem; Degrees of belief; Frequentist approach; Hypothesis testing; p-value