Related Experiment Video
Updated: May 10, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
A general approach to power calculation for relationship testing
Thore Egeland1, Nadia Pinto2, Magnus Dehli Vigeland3
1IKBM, Norwegian University of Life Sciences, Ås, Norway; Norwegian Institute of Public Health, Oslo, Norway.
Abstract:
This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink.
Related Concept Videos
Reliability and Validity
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 have a...
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Significance Testing: Overview
Power
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
