Minitab version 16

Manufactured by IBM

Minitab (version 16) is a statistical software package used for data analysis, visualization, and process improvement. It provides a wide range of statistical tools and methods for various applications, including quality management, process control, and decision-making.

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Lab products found in correlation

Spss version 18, by IBM (2 mentions) Spss for windows version 22, by IBM (1 mentions)

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Version 16.0 (11 citations) Minitab 16.1.1 (4 citations) Minitab (3 citations)

3 protocols using minitab version 16

Longitudinal Changes in Bariatric Surgery Outcomes

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To evaluate the changes in BMI, flexibility, perimetry, XSD, YSD and displacement area over time, an analysis of variance with repeated measurements was performed. The assumptions of circularity of variances and the covariance matrix were verified through the Mauchly test. When this assumption was not satisfactory, the correction was performed by the Huynh-Feldt test 21 . The assumption of normality was assessed through the construction of a normal probability plot of residuals.
In the VAvg analysis, the non-parametric Friedman method was utilized. Initially, the technique of variance analysis with repeated measurements was utilized. However, according to the residual distribution analysis, deviations from the normal distribution required the use of a non-parametric technique.
Correlations between the BMI variation at 6 and 12 months after surgery and flexibility and balance were assessed using Spearman's correlation coefficient 22 .
Significance was determined to be 0.05.
The analyses were performed with the aid of Minitab (version 16) and SPSS (version 18) software.

Benetti F.A., Bacha I.L., Junior A.B, & Greve J.M. (2016). Analyses of balance and flexibility of obese patients undergoing bariatric surgery. Clinics, 71(2), 78-81.

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Mood Disorders and Cancer Risk

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Statistical analyses were performed using Minitab version 16 and SPSS for Windows version 22. Differences in characteristics between groups were determined using t tests for continuous parametric variables, the Kruskal-Wallis test for nonparametric continuous variables and for discrete variables, and chi-square tests or Fisher’s exact test when expected cell counts were less than five.
In the nested case-control study, logistic regression was used to calculate odds ratios (OR) with 95% confidence intervals (95%CIs) to determine the association between mood disorder and cancer. Potential covariates including age, education, BMI, smoking status, alcohol consumption, and physical activity level were tested sequentially and retained if significant. In the retrospective cohort study, the relationship between mood disorder and de-novo cancer onset was examined using Cox proportional hazards models to calculate hazards ratios (HR) with 95%CIs. A p-value < 0.05 was considered significant.

Cowdery S.P., Stuart A.L., Pasco J.A., Berk M., Campbell D., Bjerkeset O, & Williams L.J. (2020). Mood disorder and cancer onset: evidence from a population-based sample of Australian women. Brazilian Journal of Psychiatry, 43(4), 355-361.

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Assessing Syllable Perception Through Word Association

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The Word Association for Syllable Perception (WASP) was used (21, 22) . This protocol allows to analyze, in addition to the percentage of word accuracy, the consonant phoneme emissions according to the linguistic traits: place of articulation, articulation mode and voice.
To verify how stimulus presentation intensity (65, 55 and 52 dB SPL) and stimulus type (meaning words and meaningless words) affect the performance in the different evaluation modalities, the Variance Analysis technique with repeatedly measurements was used (23) . The model considered was 1 factor with 5 levels: words with meaning at intensities of 65, 55 and 52 dB SPL and meaningless words at intensities of 65 and 55 dB SPL. The adequacy of the assumption of normality was assessed by residual analysis. The stimulus type "meaningless words" at the intensity of 52 dB SPL was analyzed only descriptively because there were only three children who responded in this condition. Pearson's correlation coefficient (24) was used as a correlation measure of SII 65 and the different error analysis criteria. In the hypothesis tests, a significance level of 0.05 was set. The analysis was performed with the aid of Minitab (version 16) and SPSS (version 18) programs.

Camargo N., Mendes B.C.A, & Novaes B.C.A.C. (2020). Relationship between hearing capacity and performance on tasks of speech perception in children with hearing loss. CoDAS, 32(1).

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