Unit Of Analysis Issues Research Articles

Acupuncture for cancer patients with nausea and vomiting: A protocol for systematic review and meta-analysis.

Nausea and vomiting are among the most common adverse effects experienced by cancer patients undergoing treatment worldwide. Their treatment with pharmacologic therapy can often be complicated by medication interactions and other unwanted side effects. The aim of this systematic review and meta-analysis protocol is to assess the effectiveness and safety of acupuncture therapy for treating nausea and vomiting in patients with cancer. Three electronic databases and 2 clinical registry platforms will be searched from inception to May 2022: the MEDLINE via PubMed, Embase via Ovid, the Cochrane Central Register of Controlled Trials via the Cochrane Library, the World Health Organisation International Clinical Trials Registry Platform, and National Institutes of Health Clinical trials.gov. Search terms will include nausea, vomiting, cancer, and acupuncture. Two researchers will independently select studies, extract data and assess the risk of bias. The primary outcome will be the incidence of nausea and/or vomiting or other validated outcome measures. Meta-analysis will be carried out using RevMan V.5.4. The quality of evidence from randomized clinical trials will be evaluated with the Grading of Recommendations Assessment, Development and Evaluation System tool. The results will provide a high-quality synthesis of evidence for clinicians in the field of oncology. The conclusion is expected to provide evidence to determine whether acupuncture is an effective and safe treatment for cancer patients with nausea and vomiting.

Unit of analysis issues in laboratory-based research.

Many studies in the biomedical research literature report analyses that fail to recognise important data dependencies from multilevel or complex experimental designs. Statistical inferences resulting from such analyses are unlikely to be valid and are often potentially highly misleading. Failure to recognise this as a problem is often referred to in the statistical literature as a unit of analysis (UoA) issue. Here, by analysing two example datasets in a simulation study, we demonstrate the impact of UoA issues on study efficiency and estimation bias, and highlight where errors in analysis can occur. We also provide code (written in R) as a resource to help researchers undertake their own statistical analyses.

PROTOCOL: Effects of preventive nutrition interventions among adolescents on health and nutritional status in low- and middle-income countries: a systematic review.

PROTOCOL: Effects of preventive nutrition interventions among adolescents on health and nutritional status in low- and middle-income countries: a systematic review.

PROTOCOL: Systematic Review Protocol: Later School Start Times for Supporting the Education, Health and Well‐being of High School Students

PROTOCOL: Systematic Review Protocol: Later School Start Times for Supporting the Education, Health and Well‐being of High School Students

Multivariate statistics for family psychology research.

The application of selected multivariate statistics is illustrated for use in family psychology research. The use of multivariate analysis of variance (MANOVA) and discriminant analysis in factorial designs and profile analysis is discussed. Profile analysis provides a method for dealing with unit of analysis issues in family psychology research. Applications of confirmatory factor analysis are also discussed as useful methods for researchers examining multiple components of families and handling multiple perspectives of various family members. Limitations and applications of these methods in family psychology research are reviewed.

Group research and the unit of analysis problem: The use of ANOVA designs with nested factors

Abstract This article discusses ANOVA designs with nested factors as an option for addressing unit of analysis issues when conducting group research