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Sas stat users guide version 9

Manufactured by SAS Institute
Sourced in United States

SAS/STAT: Users' Guide, Version 9.3 is a reference manual that provides detailed information about the statistical procedures and features available in the SAS/STAT software. The guide covers topics such as the syntax, options, and output for each procedure, as well as statistical concepts and methods.

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3 protocols using sas stat users guide version 9

1

QTL Mapping of Secondary F2 Population

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A total of 150 individuals of the secondary F2 population derived from Xihui18/Z403 were used for QTL mapping. DNA from each sample was extracted as the template of PCR using the cetyltrimethyl ammonium bromide (CTAB) method [35 (link)]. Fourteen SSR markers located in the substitution segments of Z403 were used as primer of PCR in QTL mapping. PCR amplification, polyacrylamide gel electrophoresis, and rapid silver staining were conducted following the methods described by Zhao et al. [36 (link),37 ]. The Xihui18-type band was scored as “−1”, the Z403-type band as “1”, the heterozygote as “0”, and a missing band as “.”. The mean value for each trait from 150 F2 plants and the marker assignment value were used for QTL mapping. The mixed linear model (MLM) method implemented in the HPMIXED program of SAS 9.3 software (SAS Institute Inc., Cary, NC, USA) (http://suportsus.com/publishing (accessed on 21 June 2023), 2009, SAS/STAT: Users’ Guide, Version 9.3) was used to plot the QTLs. The significance level p < 0.05 was used as the threshold to determine whether a QTL was associated with the marker on the substitution segment [36 (link)].
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2

Evaluating Voice Problem Factors and Improvement

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We evaluated the distribution of sociodemographic and patient-reported factors among patients treated for voice problems. We then assessed the extent to which self-report of voice problems was associated with the improvement variable, controlling for age, sex, race, educational attainment, and overall health status using multivariable logistic regression. Voice problem duration and severity were not included in multivariable regression due to sampling patterns that did not evaluate these factors concurrently with the improvement variable. We assessed improvement in all patients reporting a voice problem and then specifically focused on patients who reported receiving voice treatment. All analyses were conducted with SAS version 9.3 (SAS Institute, Cary, North Carolina). Variance estimates were produced using Taylor series linearization (SAS/STAT User’s Guide Version 9.3; SAS Institute).
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3

Statistical Analysis of Chemotherapy Courses

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Statistical analyses were performed in SAS (SAS/STAT User’s Guide, Version 9.3; SAS Analytics, SAS Institute, Cary, NC). Each chemotherapy course was considered independent. The statistical significance of observed differences between compared proportions (by course, demographics, clinical trial enrollment, and chemotherapy exposure) was tested using Chi-Square test or two-sided Fisher’s exact test as appropriate. Prevalence ratios (PR) with 95% confidence interval (CI) were also estimated using log-binomial regression models. A two-sided p-value of <0.05 was considered statistically significant.
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