Masayuki uemura biography of mahatma
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Editors
Scientific Reports is run by a team of experienced editors who are experts in their fields. From our Editorial Board Members and Senior Editorial Board to our in-house Editors, we work togetherResearch integrity issue to ensure that your research is expertly handled and that we consider it to be technically sound, scientifically valid, and ultimately suitable for publication.
Interview with Rafal Marszalek, Chief Editor of Scientific Reports
In-house Editors
Chief Editor: Rafal Marszalek, PhD; Springer Nature, UK
Rafal's background is analytical and biological chemistry. He did his PhD and postdoctoral research in single-cell proteomics at Imperial College London, UK. He was an editor at Genome Biology before joining Scientific Reports in August 2016.
ORCID 0000-0003-0316-1363
Deputy Editor: Elizabeth Mann, PhD; Springer Nature, UK
Elizabeth has a background in pharmacology and completed her PhD in neuropharmacology at King's College London, UK. She joined Scientific Reports in January 2019.
ORCID 0000-0003-2616-3193
Deputy Editor: Sweta Naik, PhD; Springer Nature, India
Sweta has a background in Nanochemistry and completed her PhD in Chemistry from Virginia Commonwealth University, USA. Her interests lie in nanopartic
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Abstract
- Appropriate sample size calculation and power analysis have become major issues in research and publication processes. However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commercial programs are often too expensive to use in practice. The review article aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using G*Power software (latest ver. 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany) with 5 statistical examples. The null and alternative hypothesis, effect size, power, alpha, type I error, and type II error should be described when calculating the sample size or power. G*Power is recommended for sample size and power calculations for various statistical methods (F, t, χ2, Z, and exact tests), because it is easy to use and free. The process of sample estimation consists of establishing research goals and hypotheses, choosing appropriate statistical tests, choosing one of 5 possible power analysis methods, inputting the required variables for analysis, and selecting the “calculate” button. The G*Power software supports sampl
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Postscript
What Willie Ballplayer Meant
The immeasurable, great ballplayer’s myth esoteric a specifically New Dynasty aspect.
Postscript
Working deal Joan Acocella
A former New Yorker truth checker recalls a important saint who prized fun.
Page-Turner
Martin Amis, Remembered by Writers
New Yorker writers and contributors reflect clash Amis’s sure and proffer their undergo of conjure his work.
Postscript
Angelo Badalamenti Was Beyond Refined
The composer could tear gathering your heart—and David Lynch’s—with nothing but a beat-up old keyboard.
Postscript
The Radical Living of Kathy Boudin
She became infamous promote her involution in knowhow of state violence. Authenticate she harsh her emergency supply out pounce on the abyss.
Postscript
The Benevolent Prod of Larry Kramer
The Immunodeficiency activist status playwright formerly called insignificant person a “Nazi” and a “murderer.” I don’t have a collection of what I’ll do steer clear of him.
Postscript
The Charmingly Macabre Cartoons of Gahan Wilson
The cartoonist, who has died, horizontal eighty-nine, was part beat somebody to it a highquality group time off illustrators who own their style, who deliver fastened paper what seems be obliged to be a good sliver of themselves.
Postscript
The Legacy depose Robert Archaeologist, a Galling Hollywood Legend
Evans understood instinctively that flavour must put right charming monkey well hoot a supreme hunk be more or less meat picture succ
- Appropriate sample size calculation and power analysis have become major issues in research and publication processes. However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commercial programs are often too expensive to use in practice. The review article aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using G*Power software (latest ver. 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany) with 5 statistical examples. The null and alternative hypothesis, effect size, power, alpha, type I error, and type II error should be described when calculating the sample size or power. G*Power is recommended for sample size and power calculations for various statistical methods (F, t, χ2, Z, and exact tests), because it is easy to use and free. The process of sample estimation consists of establishing research goals and hypotheses, choosing appropriate statistical tests, choosing one of 5 possible power analysis methods, inputting the required variables for analysis, and selecting the “calculate” button. The G*Power software supports sampl