Each experiment was performed in triplicate, and repeated three to four times. All of the analyses were conducted using the SPSS package for Windows version 20.0 (SPSS Inc., Chicago, IL, USA). Data are representative of the mean values obtained. Differences between groups were evaluated using the Mann–Whitney U test. Multiple-group comparisons were performed using analysis of variance followed by application of Tukey’s method for multiple comparisons. P values <0.05 were considered to indicate statistical significance for all statistical evaluations.
Spss package for windows version 20
Manufactured by IBM
Sourced in United States
SPSS package for Windows version 20.0 is a statistical software application developed by IBM. It provides tools for data management, analysis, and presentation. The core function of this software is to enable users to perform a variety of statistical analyses on data, including regression, correlation, and hypothesis testing.
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Lab products found in correlation
4 protocols using spss package for windows version 20
1
Comparative Statistical Analysis of Experimental Data
2
Predicting Cerebral Palsy Onset via Developmental Markers
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For the descriptive statistics, SPSS package for Windows, version 20.0 was used. Next, generalized linear mixed models with binomial link-function were fitted in R [17] using linear predictor variables age and CP, which take into account all repeated measurements over time per child. The results of these models were used to create time-profiles describing the average development of the outcome parameter per group (CP/non-CP). Using these profiles, the earliest age was calculated at which the difference between groups became statistically significant (p < 0.05). For the parameter of primary interest (i.e., the TR) as indicator of CP, we generated a ROC curve between 4 and 12 months CA.
3
Elevated Progesterone Levels in IVF Antagonist Protocol
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The study was approved by the Institutional Ethics Committee. Data were retrieved from the hospital's electronic medical record system. Analysis was carried out of data of all women who underwent COS for IVF with antagonist protocol in our superspecialty hospital between January 2005 and December 2017. Data of patients with all protocols other than the antagonist protocol were excluded. Variables of interest were age of patient, type of gonadotropin used, E2 and progesterone levels, and number of fresh embryo transfers in the elevatedP group and their outcomes. Data were entered into SPSS (version 20) for Windows package (SPSS Science, Chicago, IL, USA) and analyzed. Categorical data have been expressed as frequencies (e.g., use of different types of gonadotropins), while continuous data such as age, E2, andP levels at trigger have been expressed as mean, range, and standard deviation. For examining associations such as between categorized P values at trigger and gonadotropin used, Chi-square test was employed. Unpaired Student's t-test was used to test the statistical significance of difference in the means of two independent groups (such as mean E2 levels between normal and elevatedP groups). P < 0.05 was considered statistically significant.
4
Evaluating the Performance of Swede Score AI in Cervical Cancer Screening
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For statistical analysis, women categorized as red and HRA on the AI assessment, indicating a suspected low-grade lesion or worse according to the experts’ assessment (SS-M), were considered as positive. Colposcopies of women with a Swede score of 1 and above were considered positive. Histopathology was considered the gold standard with CIN 1+ as the cut off. Where the histopathology outcome was not available, the colposcopy assessment was considered to be the reference standard.
Statistical analysis was carried out with the help of SPSS (version 20) for Windows package (SPSS Science, Chicago, IL, USA). The description of the data was performed in the form of an arithmetic mean ± SD for quantitative (continuous) data and in the form of frequencies (%) for qualitative (categorical) data. p-values of <0.05 were considered significant.
The chi-square test which indicates the association between the two tests in question was applied for assessing the performance of SS-AI against histopathology and colposcopy. The accuracy was described by the following parameters: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) at a confidence interval (CI) of 95.
Statistical analysis was carried out with the help of SPSS (version 20) for Windows package (SPSS Science, Chicago, IL, USA). The description of the data was performed in the form of an arithmetic mean ± SD for quantitative (continuous) data and in the form of frequencies (%) for qualitative (categorical) data. p-values of <0.05 were considered significant.
The chi-square test which indicates the association between the two tests in question was applied for assessing the performance of SS-AI against histopathology and colposcopy. The accuracy was described by the following parameters: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) at a confidence interval (CI) of 95.
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