Version 1
: Received: 6 March 2024 / Approved: 7 March 2024 / Online: 7 March 2024 (11:07:48 CET)
Version 2
: Received: 8 April 2024 / Approved: 9 April 2024 / Online: 9 April 2024 (09:56:28 CEST)
How to cite:
Desai, D. Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces. Preprints2024, 2024030445. https://doi.org/10.20944/preprints202403.0445.v1
Desai, D. Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces. Preprints 2024, 2024030445. https://doi.org/10.20944/preprints202403.0445.v1
Desai, D. Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces. Preprints2024, 2024030445. https://doi.org/10.20944/preprints202403.0445.v1
APA Style
Desai, D. (2024). Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces. Preprints. https://doi.org/10.20944/preprints202403.0445.v1
Chicago/Turabian Style
Desai, D. 2024 "Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces" Preprints. https://doi.org/10.20944/preprints202403.0445.v1
Abstract
Sample size using prevalence has been one of the most important medical research methodologies and has been used in original articles more often than any other statistical tool available. The simple formula consists of variables interdependent and it is as important to understand how they influence each other as it is to learn to use the formula to calculate the sample size. With the choice of different amounts of precision and levels of confidence available to a medical researcher, it should be of paramount importance to understand what a slight change in choosing the parameter would mean at the end of the research. Understanding of different Z values, Levels of precision, and ranging Prevalence is required to understand the effect on the sample size and subsequently on the research. Topological representation using parameter ranges can be used to demonstrate this relationship.
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
