Showing 1,041 - 1,060 results of 25,206 for search '"statistics"', query time: 0.11s Refine Results
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    Trial Characteristics and Appropriateness of Statistical Methods Applied for Design and Analysis of Randomized School-Based Studies Addressing Weight-Related Issues: A Literature Review by Moonseong Heo, Singh R. Nair, Judith Wylie-Rosett, Myles S. Faith, Angelo Pietrobelli, Nancy R. Glassman, Sarah N. Martin, Stephanie Dickinson, David B. Allison

    Published 2018-01-01
    “…We searched PubMed and extracted variables concerning study characteristics, power analysis, ICC use for power analysis, applied statistical models, and the report of the ICC estimated from the observed data. …”
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    Differentiation and characterization of volatile compounds in five common milk powders using HS-GC-IMS, HS-SPME-GC–MS, and multivariate statistical approaches by Yaxi Zhou, Diandian Wang, Jian Zhao, Yu Guo, Wenjie Yan

    Published 2025-01-01
    “…This study analysed and identified the flavor characteristics of five common types of milk powders in China, including yak milk powder, donkey milk powder, camel milk powder, goat milk powder, and cow milk powder, using Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS), Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC–MS), and multivariate statistical analysis. Results identified 55 and 86 volatile compounds via HS-GC-IMS and HS-SPME-GC–MS, respectively, revealing significant differences between milk powders. …”
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  10. 1050

    Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistical information by Alexey Unagaev, Irina Korotkova, Natalia Efremova

    Published 2025-01-01
    “…These advanced approaches involve interpreting features in satellite images in conjunction with cartographic, statistical, and climate data. The study focuses on data collection and mapping of three specific crops: lavender, almond, and barley, and relies on various sources of information for crop detection, including satellite image characteristics, regional statistical data detailing crop areas, and phenological information, such as flowering dates and the end of the growing season in specific regions. …”
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    Mixed methods evaluation of the Getting it Right First Time programme in elective orthopaedic surgery in England: an analysis from the National Joint Registry and Hospital Episode Statistics by Stephen Morris, James Mason, Rosalind Raine, Peter Martin, Naomi J Fulop, Elena Pizzo, Andrew Hutchings, Helen Barratt, Jean Ledger, Raj Mehta, Sarah Jasim, Fiona Aspinal, Rafael Gafoor

    Published 2022-06-01
    “…Objective To evaluate the impact of the ‘Getting it Right First Time’ (GIRFT) national improvement programme in orthopaedics, which started in 2012.Design Mixed-methods study comprising statistical analysis of linked national datasets (National Joint Registry; Hospital Episode Statistics; Patient-Reported Outcomes); economic analysis and qualitative case studies in six National Health Service (NHS) Trusts.Setting NHS elective orthopaedic surgery in England.Participants 736 088 patients who underwent primary hip or knee replacement at 126 NHS Trusts between 1 April 2009 and 31 March 2018, plus 50 NHS staff.Intervention Improvement bundle including ‘deep dive’ visits by senior clinician to NHS Trusts, informed by bespoke set of routine performance data, to discuss how improvements could be made locally.Main outcome measures Number of procedures conducted by low volume surgeons; use of uncemented hip implants in patients >65; arthroscopy in year prior to knee replacement; hospital length of stay; emergency readmissions within 30 days; revision surgery within 1 year; health-related quality of life and functional status.Results National trends demonstrated substantial improvements beginning prior to GIRFT. …”
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  12. 1052

    This is EPIC: Extensive Periphery for Impact and Control to study seabird habitat loss in and around offshore wind farms combining a peripheral control area and Bayesian statistics by Anne Grundlehner, Mardik F. Leopold, Anna Kersten

    Published 2025-03-01
    “…The approach consists of a survey design that uses the OWFs surroundings in all directions as control space, complemented by a sophisticated statistical approach to quantify the extent and intensity of displacement and habitat loss in and around the area of potential disturbance. …”
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