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Sas campus drive

Manufactured by SAS Institute
Sourced in United States

SAS Campus Drive is a storage device designed for use in research and academic settings. It provides high-capacity data storage with fast data transfer rates. The product is intended to facilitate efficient data management and collaboration within laboratory environments.

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3 protocols using sas campus drive

1

Sample Size Estimation for SLE Patients

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For sample size calculation and power analysis we considered data concerning physical inactivity and low weekly exercise previously reported in SLE patients [24 (link), 25 (link)]. Setting a significance level of 0.05 (alpha), power at 80% (beta), an Expected proportion of 0.3, and a total wight of confidence intervals of 0.2, we estimated a saple size of 88 subjects to assess the confidence intervals for proportion. Sample size calculation and power analysis were performed using SAS University Edition, SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513, USA.
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2

Bioinformatic Analysis of Sequence Variations

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Nucleotide sequences were edited and assembled using the SeqManII tool of the Lasergene DNAStar program 7.1 (DNAStar) (Madison, WI, USA, 2006). The Megalign tool (DNAStar) was used for pairwise and multiple alignments of DNA sequences and for deducing amino acid sequences. Shannon entropy was calculated using BioEdit software [27 ]. Diversity and distance were calculated using the Molecular Evolutionary Genetics Analysis (MEGA) program 5 and a pairwise deletion option. Phylogenetic and molecular evolutionary analyses were conducted using MEGA5 (Center for Evolutionary Functional Genomics Biodesign Institute, Arizona State University, Tempe, AZ, USA, 2011) by the neighbor joining method [28 (link)]. Bootstrap values (based on 1000 replicates) for each node were provided if they were at least 70 %. N-glycosylation sites were predicted using N-GlycoSite (http://www.hiv.lanl.gov/content/sequence/GLYCOSITE/glycosite.html). The stable mutation rates (marginal frequencies at each position of the amino acid sequence) were calculated using the MargFreq software (http://sray.med.som.jhmi.edu/SCRoftware/MargFreq/). The statistical analysis of the sequence variations was performed using SAS (Statistical Analysis System) (version 9.2, SAS Institute Inc, SAS Campus Drive, Cary, NC, USA, 2008).
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3

Survival Analysis of Cancer Patients

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Categorical variables were compared using the chi-squared test and continuous variables using the unpaired t-test. Cancer-specific survival, overall survival and disease-free survival curves were generated using the Kaplan–Meier method and differences were compared using the log-rank test. Multivariate analysis was carried out based on the Cox proportional hazard regression model. For all statistical analyses, a p-value of less than 0.05 was considered to indicate statistical significance. All statistical analysis was performed using statistical software (JMP 8.0.1., SAS Campus Drive, Cary, NC).
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