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Statistics software v 26

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Statistics Software (v.26) is a comprehensive data analysis tool developed by IBM. It provides a suite of statistical and analytical capabilities to support various research and decision-making processes. The software offers a wide range of functions, including data management, descriptive statistics, advanced statistical modeling, and data visualization. It is designed to handle complex data sets and provide reliable insights to users across diverse industries and applications.

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Statistics 26.0 (56 citations) SPSS Statistic software (v. 26) (2 citations)

2 protocols using statistics software v 26

1

Gestational Age Effects on Fetal Development

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All data were analyzed using generalized linear modeling in SPSS Statistics Software (v.26). Each variable was adjusted for gestational age; fetal sex and maternal diet were considered main effects, while the random effect of maternal in utero environment was also included. Post hoc analyses were performed using Bonferroni adjustment. For additional analyses including the R-NP group, NP treatment was also included within the model as the main effect. Data are reported as the estimated marginal mean and standard error (SE), and statistical significance was deemed at P < 0.05.
Wilson R.L., Stephens K.K., Lampe K, & Jones H.N. (2021). Sexual dimorphisms in brain gene expression in the growth-restricted guinea pig can be modulated with intra-placental therapy. Pediatric research, 89(7), 1673-1680.
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2

Gestational Age Effects on Fetal Development

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data were analyzed using generalized linear modeling in SPSS Statistics Software (v.26). Each variable was adjusted for gestational age; fetal sex and maternal diet were considered main effects, while the random effect of maternal in utero environment was also included. Post hoc analyses were performed using Bonferroni adjustment. For additional analyses including the R-NP group, NP treatment was also included within the model as the main effect. Data are reported as the estimated marginal mean and standard error (SE), and statistical significance was deemed at P < 0.05.
Wilson R.L., Stephens K.K., Lampe K, & Jones H.N. (2021). Sexual dimorphisms in brain gene expression in the growth-restricted guinea pig can be modulated with intra-placental therapy. Pediatric research, 89(7), 1673-1680.
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