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Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator

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 generalize...

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Autores principales: Sudershan, Amrit, Mahajan, Kanak, Panjaliya, Rakesh K., Dhar, Manoj K., Kumar, Parvinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814063/
https://www.ncbi.nlm.nih.gov/pubmed/35115548
http://dx.doi.org/10.1038/s41598-021-03399-1
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author Sudershan, Amrit
Mahajan, Kanak
Panjaliya, Rakesh K.
Dhar, Manoj K.
Kumar, Parvinder
author_facet Sudershan, Amrit
Mahajan, Kanak
Panjaliya, Rakesh K.
Dhar, Manoj K.
Kumar, Parvinder
author_sort Sudershan, Amrit
collection PubMed
description 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.
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spelling pubmed-88140632022-02-07 Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator Sudershan, Amrit Mahajan, Kanak Panjaliya, Rakesh K. Dhar, Manoj K. Kumar, Parvinder Sci Rep Article 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. Nature Publishing Group UK 2022-02-03 /pmc/articles/PMC8814063/ /pubmed/35115548 http://dx.doi.org/10.1038/s41598-021-03399-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sudershan, Amrit
Mahajan, Kanak
Panjaliya, Rakesh K.
Dhar, Manoj K.
Kumar, Parvinder
Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
title Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
title_full Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
title_fullStr Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
title_full_unstemmed Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
title_short Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
title_sort algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814063/
https://www.ncbi.nlm.nih.gov/pubmed/35115548
http://dx.doi.org/10.1038/s41598-021-03399-1
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