Looking at the population's behavior by taking samples is quite uncertain due to its big and dynamic structure and unimaginable variability. All quantitative sampling approaches aim to draw a representative sample from the population so that the results of the studying samples can then be generalized back to the population. The probability of detecting a true effect of a study largely depends on the sample size and if taking small samples will give lowers statistical power, higher risk of missing a meaningful underlying difference. The probability of rejecting the null hypothesis i.e., finding significant difference using the sample largely depends upon the statistical power. There are a lot of online tools used for calculating the sample size, but none tell us about the availability of samples from single site in a fixed span. This study aims to provide an efficient calculation method for the availability of samples during a specific period of a research study which is an important question to be answered during the research study design. So, we have designed a spreadsheet-based sample availability calculator tool implemented in MS-Excel 2007.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814063 | PMC |
| http://dx.doi.org/10.1038/s41598-021-03399-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Validation of the Hospital Survey on Patient Safety Culture 2.0 in Italian Hospitals: A Cross-Sectional Study of Healthcare Personnel Perceptions.
J Adv Nurs
January 2025
Dipartimento Scienze Della Salute, Università degli Studi di Genova, Genova, Italy.
Aim(s): To adapt and validate the HSOPS 2 instrument for the Italian context and to describe the current patient safety culture amongst healthcare personnel working in Italian hospitals.
Design: Cross-sectional study.
Methods: We adapted and validated the HSOPS 2 instrument following the COSMIN guidelines: we performed a forward-backward translation, calculated the content validity index, evaluated face validity, acceptability (percentage of participants responding to all items on the questionnaire and to every specific item), construct validity (confirmatory factor analysis), and internal consistency (Cronbach's alpha for each dimension).
The heterogeneity of Pinus yunnanensis plantation growth was driven by soil microbial characteristics in different slope aspects.
BMC Plant Biol
January 2025
State Key Laboratory of Tree Genetics and Breeding, Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, 650233, PR China.
The slope aspect is an important environmental factor, which can indirectly change the acceptable solar radiation of forests. However, the mechanism of how this aspect changes the underground ecosystem and thus affects the growth of aboveground trees is not clear. In this study, Pinus yunnanensis plantation was taken as the research object, and the effects of soil and microbial characteristics on tree growth under different slope aspects and soil depths were systematically analyzed.
View Article and Find Full Text PDFImpact of geographical variation on nutritional and antioxidant properties of Basella alba L. from Sri Lanka.
BMC Plant Biol
January 2025
Department of Applied Sciences, Faculty of Humanities and Sciences, Sri Lanka Institute of Information Technology, SLIIT Malabe Campus, Malabe, 10115, Sri Lanka.
Background: Basella alba L. (Malabar spinach) is a widely consumed leafy vegetable, well known for its nutritional and therapeutic properties. These properties arise from the availability of essential nutrients, phytochemicals, and antioxidant potential, which may vary depending on environmental factors induced by the geographical location.
View Article and Find Full Text PDFLong-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data.
Sci Data
January 2025
Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100091, China.
The vegetation index is a key satellite-based variable used to monitor global vegetation distribution and growth. However, existing vegetation index datasets face limitations in achieving both high spatial and temporal resolution, restricting their application potential. This study revised a machine learning spatiotemporal fusion model (InENVI) to produce a high-resolution NDVI dataset with 8-day temporal and 30 m spatial resolution, covering China from 2001 to 2020.
View Article and Find Full Text PDFGender differences in cognitive impairment among the elderly in rural West Texas counties.
J Alzheimers Dis
January 2025
Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Background: The prevalence of Alzheimer's disease or dementia in the elderly population has been increasing both nationally and globally. Males and females are impacted differently when it comes to cognitive health, and this can be influenced by various risk factors.
Objective: This study highlights the sociodemographic, chronic disease, and genetic biomarker risk factors associated with gender differences and cognitive impairments in the elderly population living in Cochran, Parmer, and Bailey counties of rural West Texas.
Want 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!