Evidence map›Paper›PMID 27866285›Full record

ArticleBehavior genetics2017

A Power Calculator for the Classical Twin Design.

Brad Verhulst

Abstract read
In one paragraph

Article in Behavior genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  9. Article
  10. Impact of Genetic and Environmental Factors on Peripheral Refraction.Translational vision science & technology · 2024
    Article
  11. Article
  12. Article
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  14. Effects of Genetic Relatedness of Kin Pairs on Univariate ACE Model Performance.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2023
    Article
  15. Article
  16. Article
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Brad VerhulstVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA. brad.verhulst@gmail.com.ORCID 0000-0001-5369-9757

Funding

Workshop on the Methodology of Twin and Family StudiesR25MH019918 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Matthew Charles Keller · 1995 to 2026
$4.6M
Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
NIDA NIH HHS R01 DA018673NIDA NIH HHS R25 DA026119NIMH NIH HHS R25 MH019918
6 · The paper itself

Abstract

Power is a ubiquitous, though often overlooked, component of any statistical analyses. Almost every funding agency and institutional review board requires that some sort of power analysis is conducted prior to data collection. While there are several excellent on line power calculators for independent observations, twin studies pose unique challenges that are not incorporated into these algorithms. The goal of the current manuscript is to outline a general method for calculating power in twin studies, and to provide functions to allow researchers to easily conduct power analyses for a range of common twin models. Several scenarios are discussed to demonstrate the importance of various factors that influence the power within the classical twin design and to serve as examples for the provided functions.

Indexed as

AlgorithmsHumansModels, GeneticStatistics as TopicTwinsBiometrical geneticsPowerTwin studyVariance components

Identifiers

PMID27866285
PMCPMC5471839

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.