Related Experiment Video
Updated: Apr 17, 2026

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
Published on: July 17, 2021
p-values should not be used for evaluating the strength of DNA evidence
Maarten Kruijver1, Ronald Meester1, Klaas Slooten2
1Department of Mathematics, VU University, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands.
Abstract:
Recently, p-values have been suggested to explain the strength of a likelihood ratio that evaluates DNA evidence. It has been argued that likelihood ratios would be difficult to explain in court and that p-values would offer an alternative that is easily explained. In this article, we argue that p-values should not be used in this context. p-Values do not directly relate to the strength of the evidence. The likelihood ratio measures the strength of the evidence, while the p-value measures how rare it is to find evidence that is equally strong or stronger, which is something fundamentally different. In addition, a p-value is not always unambiguous. To illustrate our arguments, we present several examples from forensic genetics.
Related Concept Videos
DNA Isolation
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
P-value
P-value stands for the probability value. P-value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.
A large P-value calculated from the data indicates to not reject the null hypothesis. But a higher P-value does not mean that the null hypothesis is true. The smaller the P-value, the more...
Bonferroni Test
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...

