Power analysis constitutes an important component of modern clinical trials and research studies. Although a variety of methods and software packages are available, almost all of them are focused on regression models, with little attention paid to correlation analysis. However, the latter is arguably a simpler and more appropriate approach for modelling concurrent events, especially in psychosocial research. In this paper, we discuss power and sample size estimation for correlation analysis arising from clustered study designs. Our approach is based on the asymptotic distribution of correlated Pearson-type estimates. Although this asymptotic distribution is easy to use in data analysis, the presence of a large number of parameters creates a major problem for power analysis due to the lack of real data to estimate them. By introducing a surrogacy-type assumption, we show that all nuisance parameters can be eliminated, making it possible to perform power analysis based only on the parameters of interest. Simulation results suggest that power and sample size estimates obtained under the proposed approach are robust to this assumption.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/sim.2273 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
In vitro starch digestibility and physicochemical properties of chemical and enzymatic modified Indian Teff (Eragrostis Tef) starch for industrial applications.
Int J Biol Macromol
March 2025
Department of Food Engineering and Technology, Sant Longowal Institute of Engineering and Technology, Punjab, India. Electronic address:
The long-term stability, mechanical properties, and interactions of modified teff starch with food components remain unclear. The effects of dual or multiple modifications on physicochemical properties and digestibility are also unexplored. This study investigates the modification of Teff starch through oxidation (sodium hypochlorite), cross-linking (citric acid), and enzymatic treatments (α-amylase, amyloglucosidase) to enhance its structural, physicochemical, and thermal properties.
View Article and Find Full Text PDFGenomic insights into racing camels: inbreeding levels and positive selection linked to athletic traits.
Animal
February 2025
Department of Animal and Veterinary Sciences, Sultan Qaboos University, Muscat, Oman.
Racing dromedary camels are widely distributed across the Arabian Peninsula, predominantly concentrating in its northern and southeastern regions. Phenotypically, they are differentiated from other dromedary types, characterised by their smaller body size, longer limbs, reduced hump size, and thinner chest girth. In this study, the whole genome sequences of 34 racing camels were analysed to assess their genetic relationship with non-racing populations, estimate levels of inbreeding, calculate Wier and Cockerham's fixation index (Fst), assess effective population size (N), and identify candidate regions with signatures of positive selection.
View Article and Find Full Text PDF"The highest decision-making level" - Multidisciplinary team meetings as boundary spaces.
Soc Sci Med
February 2025
Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens, Boulevard 99, Aarhus N, 8200, Denmark. Electronic address:
Multidisciplinary team meetings (MDMs), also known as tumor boards, play a crucial role in collaborative decision-making within Western healthcare systems. This study explores the significance of MDMs in Danish cancer care through an ethnographic lens, based on fieldwork conducted at five university hospitals. Clinicians regard these meetings as fostering efficiency, reflexivity, consistency, transparency, and security in patient care, and recognize MDMs as "the highest decision-making level" in cancer care.
View Article and Find Full Text PDFModelling and classification of barriers in the construction of smart villages in developing countries.
Eval Program Plann
March 2025
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan. Electronic address:
Smart Villages are an innovative solution for tackling global sustainability per the sustainable development goals set by the United Nations. This particular study looks into the implementation of a similar Smart Village concept in developing countries such as Pakistan. The main focus is to identify and classify a set of barriers that are to be considered while constructing a smart village.
View Article and Find Full Text PDFUnveiling Greenwashing: Analyzing the interaction of factors discouraging ESG Greenwashing through TISM and MICMAC.
J Environ Manage
March 2025
University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, Belgrade, 11010, Serbia; Department of Industrial Engineering and Management, College of Engineering, Yuan Ze University, Taoyuan City, 320315, Taiwan. Electronic address:
Corporations, as major contributors to carbon emissions, face mounting pressure to adopt genuine sustainability practices. However, the rise of Environmental, Social, and Governance (ESG) disclosures has concurrently given rise to greenwashing-misleading claims that erode stakeholder trust and obstruct sustainability progress. Despite the widespread acknowledgment of greenwashing, there is a notable gap in research identifying the key factors that can mitigate it.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!