Metodologías cuantitativas: Cálculo del tamaño de muestraconSTATAyR

Antonio M. Quispe; Diego F. Pinto; Mariella R. Huaman; Gilda M. Bueno; Andree Valle-Campos

doi:10.35434/rcmhnaaa.2020.131.627

Metodologías cuantitativas: Cálculo del tamaño de muestraconSTATAyR

Antonio M. Quispe, Diego F. Pinto, Mariella R. Huaman, Gilda M. Bueno, Andree Valle-Campos

Facultad de ciencias de la salud

Producción científica: Artículo Científico › Artículo original › revisión exhaustiva

12 Citas (Scopus)

Resumen

The calculation of sample size is an essential aspect of the design of quantitative studies. An adequate sample size allows us to determine the minimum number of participants necessary to test our hypothesis of interest. Hence, we can reduce costs, maximize the use of our research resources and guarantee the feasibility of the study. Contradictorily, despite its relevance, very few researchers dominate this skill. This review aims to review the basics of sample size calculation and share Stata and R codes specifically designed to facilitate these calculations.

Título traducido de la contribución	Quantitative methods: Sample size calculation with STATA and R
Idioma original	Español
Páginas (desde-hasta)	78-83
-	6
Publicación	Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo
Volumen	13
N.º	1
DOI	https://doi.org/10.35434/rcmhnaaa.2020.131.627
Estado	Indizado - 2020

Nota bibliográfica

Publisher Copyright:
© Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo.

Palabras clave

R
Sample Size, Epidemiologic Research Design
Stata
effect size

Acceder al documento

10.35434/rcmhnaaa.2020.131.627

Citar esto

@article{b982bf11be72406b9e347daa9db7a16d,

title = "Metodolog{\'i}as cuantitativas: C{\'a}lculo del tama{\~n}o de muestraconSTATAyR",

abstract = "The calculation of sample size is an essential aspect of the design of quantitative studies. An adequate sample size allows us to determine the minimum number of participants necessary to test our hypothesis of interest. Hence, we can reduce costs, maximize the use of our research resources and guarantee the feasibility of the study. Contradictorily, despite its relevance, very few researchers dominate this skill. This review aims to review the basics of sample size calculation and share Stata and R codes specifically designed to facilitate these calculations.",

keywords = "R, Sample Size, Epidemiologic Research Design, Stata, effect size",

author = "Quispe, {Antonio M.} and Pinto, {Diego F.} and Huaman, {Mariella R.} and Bueno, {Gilda M.} and Andree Valle-Campos",

note = "Publisher Copyright: {\textcopyright} Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo.",

year = "2020",

doi = "10.35434/rcmhnaaa.2020.131.627",

language = "Espa{\~n}ol",

volume = "13",

pages = "78--83",

journal = "Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo",

issn = "2225-5109",

publisher = "Cuerpi Medico del Hospital Nacional Almanzor Aguinaga Asenjo (HNAAA)",

number = "1",

}

TY - JOUR

T1 - Metodologías cuantitativas

T2 - Cálculo del tamaño de muestraconSTATAyR

AU - Quispe, Antonio M.

AU - Pinto, Diego F.

AU - Huaman, Mariella R.

AU - Bueno, Gilda M.

AU - Valle-Campos, Andree

N1 - Publisher Copyright: © Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo.

PY - 2020

Y1 - 2020

N2 - The calculation of sample size is an essential aspect of the design of quantitative studies. An adequate sample size allows us to determine the minimum number of participants necessary to test our hypothesis of interest. Hence, we can reduce costs, maximize the use of our research resources and guarantee the feasibility of the study. Contradictorily, despite its relevance, very few researchers dominate this skill. This review aims to review the basics of sample size calculation and share Stata and R codes specifically designed to facilitate these calculations.

AB - The calculation of sample size is an essential aspect of the design of quantitative studies. An adequate sample size allows us to determine the minimum number of participants necessary to test our hypothesis of interest. Hence, we can reduce costs, maximize the use of our research resources and guarantee the feasibility of the study. Contradictorily, despite its relevance, very few researchers dominate this skill. This review aims to review the basics of sample size calculation and share Stata and R codes specifically designed to facilitate these calculations.

KW - R

KW - Sample Size, Epidemiologic Research Design

KW - Stata

KW - effect size

UR - http://www.scopus.com/inward/record.url?scp=85119176560&partnerID=8YFLogxK

U2 - 10.35434/rcmhnaaa.2020.131.627

DO - 10.35434/rcmhnaaa.2020.131.627

M3 - Artículo original

AN - SCOPUS:85119176560

SN - 2225-5109

VL - 13

SP - 78

EP - 83

JO - Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo

JF - Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo

IS - 1

ER -

Metodologías cuantitativas: Cálculo del tamaño de muestraconSTATAyR

Resumen

Nota bibliográfica

Palabras clave

Acceder al documento

Huella

Citar esto