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	Provedor de dados AgEcon (1) Anais da ABC (AABC) (1) Autor Barrett, Jennifer H. (1) Bishop, D. Timothy (1) Corneleo,Nathana S. (1) Costa,Leonardo S. da (1) Saunders, Catherine L. (1) Stefenon,Valdir M. (1) Mais... Palavra-chave Study design (2) Allelic richness (1) Gene–environment interaction (1) Gene–gene interaction (1) Inbreeding coefficient (1) Non-central chi^2 (1) Power (1) Research Methods/ Statistical Methods (1) Sample size (1) Sampling strategy (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal Article (1) Ano 2015 (1) 2003 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Conservation of Forest Biodiversity: how sample size affects the estimation of genetic parameters Anais da ABC (AABC) Costa,Leonardo S. da; Corneleo,Nathana S.; Stefenon,Valdir M.. Efficient designs are crucial for population genetic studies on forest species. In this study we employed individual based simulations aiming to evaluate what fraction of a population should be sampled to obtain confident estimations of allelic richness and of inbreeding coefficient in population genetic surveys. The simulations suggest that at least 10% of the total population has to be sampled to ensure reliable estimations of allelic richness and inbreeding coefficient. This approach will allow the confidence of the genetic parameters estimations of a larger number of populations, based on a minimal sample within each one. Tipo: Info:eu-repo/semantics/article Palavras-chave: Sampling strategy; Study design; Allelic richness; Inbreeding coefficient. Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000201095 Sample size calculations for main effects and interactions in case–control studies using Stata's nchi2 and npnchi2 functions AgEcon Saunders, Catherine L.; Bishop, D. Timothy; Barrett, Jennifer H.. The non-central chi-squared distribution can be used to calculate power for tests detecting departure from a null hypothesis. Required sample size can also be calculated because it is proportional to the non-centrality parameter for the distribution. We demonstrate how these calculations can be carried out in Stata using the example of calculating power and sample size for case–control studies of gene–gene and gene–environment interactions. Do-files are available for these calculations. Tipo: Journal Article Palavras-chave: Gene–environment interaction; Gene–gene interaction; Power; Sample size; Study design; Non-central chi^2; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116031 Registros recuperados: 2 Primeira ... 1 ... Última

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