Microsoft excel 2016

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Microsoft Excel 2016 is a spreadsheet software application that allows users to create, edit, and analyze data. It provides a grid-based interface for organizing and manipulating numerical and textual information. Excel 2016 includes a range of features and functions for performing calculations, creating charts and graphs, and automating various data-related tasks.

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Excel 2016 (318 citations) Microsoft Excel (141 citations) Microsoft Office Excel 2016 (5 citations)

33 protocols using microsoft excel 2016

Examining Factors Influencing Premenstrual Syndrome

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For descriptive statistics, we performed various statistical calculations, including minimum, maximum, mean (± standard deviation), and median (interquartile range) to provide characterization. The normality test was conducted using the Kolmogorov–Smirnov test. Based on the results, for examining the relationships between the factors, we employed Spearman correlation analysis and Pearson chi-square test to determine the impact of the influencing factors (PSS, GHQ-12, IPAQ-SF) of PMS multivariate linear regression analysis adjusted for age and BMI was applied furthermore, independent sample T-test and Mann–Whitney U-test was applied to examine and evaluate the differences between the case and control groups and subgroups of PMS.
The statistical analysis of the study involved the use of Microsoft Excel 2016 and IBM SPSS version 28.0 (SPSS Inc., Chicago, IL, United States) as software tools.
The significance level was set at p < 0.05.

Dózsa-Juhász O., Makai A., Prémusz V., Ács P, & Hock M. (2023). Investigation of premenstrual syndrome in connection with physical activity, perceived stress level, and mental status—a cross-sectional study. Frontiers in Public Health, 11, 1223787.

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Carbon Dynamics in Eucalyptus and Acacia Plantations

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The mean C concentration and C stock, and respective associated standard deviation (SD) of the litter layer and the woody debris from young, middle-aged and mature Eucalyptus and Acacia plantations were calculated. A one-way analysis of variance (ANOVA) was used to test for any effect of forest type and/or stand age on either the proportion or quantity of C stored in the litter layer and woody debris, also including respective various components, woody debris at different diameter class and decay classes. A Tukey’s HSD test was used for comparison of means. All calculations and statistical analyses were carried out by Microsoft Excel 2016 and IBM SPSS (Version 22.0, SPSS Inc., USA).

Zhang H., Jiang Y., Song M., He J, & Guan D. (2020). Improving understanding of carbon stock characteristics of Eucalyptus and Acacia trees in southern China through litter layer and woody debris. Scientific Reports, 10, 4735.

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Chlamydia trachomatis Genotypes Analysis

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Raw data collection and statistical analysis were performed by Microsoft Excel 2016 and SPSS Statistics version.20.0 (SPSS Inc., Chicago, IL, United States), respectively. Abnormal cytology group (≥ASC-US was defined as women who had a diagnosis of the following cytology findings: ASC-US, ASC-H, LSIL, HSIL or AGC). C.trachomatis genotypes were divided into two group, genotype B group and non-B genotypes group, genotype D group and non-D genotypes group, genotype E group and non-E genotypes group, and so on. The chi-square test (χ²), or two-sided Fisher exact test for 2 × 2 contingency table was used to evaluate the associations between different C.trachomatis genotypes, sociodemographic characteristics, reproductive history, sexual behavior, and urogenital symptoms. Variables with a significance level of p < 0.2 were enrolled in the multivariate logistic regression model adjusted by potential confounders. Crude odds ratios (OR), adjusted odds ratio (AOR) and corresponding 95% CIs were calculated. A p < 0.05 was considered significant.

Liu L.L., Sun S., Zhang L., Wu Q.H., Tian L.S., Li B., Chen X.S, & Luo Z.Z. (2022). Distribution of Chlamydia trachomatis ompA genotypes and its association with abnormal cervical cytology among women of reproductive age in Shenzhen, China. Frontiers in Public Health, 10, 1036264.

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Biological Replicates Analysis with SPSS

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The whole experiment was performed with at least three biological replicates. The data were analyzed using Microsoft Excel 2016 and SPSS 19.0 software (SPSS Inc., Chicago, IL, USA) for difference analysis. The significance of the mean differences between treatments was analyzed with Duncan multiple comparison at p < 0.05.

Zhu H., He M., Jahan M.S., Wu J., Gu Q., Shu S., Sun J, & Guo S. (2021). CsCDPK6, a CsSAMS1-Interacting Protein, Affects Polyamine/Ethylene Biosynthesis in Cucumber and Enhances Salt Tolerance by Overexpression in Tobacco. International Journal of Molecular Sciences, 22(20), 11133.

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Statistical Analysis of Biological Replicates

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The results were expressed as the means ± standard error (SE) from three independent experiments with three biological replicates for each. Microsoft Excel 2016 and SPSS 22.0 software (SPSS Inc., Chicago, IL, USA) were used to analyse data. The independent t-test (p < 0.05 or p < 0.01) was used to analyse the significance differences for treatments on the same day.

Zhang H., Wu X., Liu X., Yao Y., Liu Z., Wei L., Hou X., Gao R., Li Y., Wang C, & Liao W. (2023). Hydrogen Gas Improves the Postharvest Quality of Lanzhou Lily (Lilium davidii var. unicolor) Bulbs. Plants, 12(4), 946.

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Statistical Analysis of Fluorescence Intensity

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Statistical comparison of fluorescence intensity values was conducted by paired student’s t-test unless otherwise noted. A p-value <0.05 was considered statistically significant. Where results from representative experiments including micrographs or NIR-nCLE images, the experiments were repeatedly independently at least three times. The sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and the IOR were calculated using the standard definitions and software from the SPSS statistical package V.25.0 (IBM Corporation). Statistical analysis was conducted using Graphpad Prism (Version 8.4.1, GraphPad Software, La Jolla, CA, US), Microsoft Excel 2016, SPSS statistical package V 25.0 (IBM Corporation) and image analysis was conducted using Matlab (version 2020b and 2021a, MathWorks, Natick, MA), ImageJ version 1.52k and Image Studio version 5.2.

Kennedy G.T., Azari F.S., Bernstein E., Nadeem B., Chang A., Segil A., Carlin S., Sullivan N.T., Encarnado E., Desphande C., Kularatne S., Gagare P., Thomas M., Kucharczuk J.C., Christien G., Lacombe F., Leonard K., Low P.S., Criton A, & Singhal S. (2022). Targeted detection of cancer at the cellular level during biopsy by near-infrared confocal laser endomicroscopy. Nature Communications, 13, 2711.

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Assessing MetS Diagnostic Indices

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Data was entered into Microsoft Excel 2016, and SPSS v26 (SPSS Inc.) and GraphPad Prism 8.0.1 (GraphPad LLC) were utilized for analysis. Categorical data were expressed as frequency (proportion). Continuous data were checked for normality using Kolmogorov–Smirnov test. Nonparametric data were expressed as median (interquartile range). Nonparametric data was analyzed with Mann–Whitney U‐test to evaluate differences between groups, while χ² test was used to examine the relationship between sociodemographic characteristics (e.g., sex) and MetS. Receiver operating characteristic (ROC) curves and multivariable logistic regression were utilized to assess the potential of all three indices in identifying MetS. The cut‐off values for the indices generated on the ROC curves analysis were stratified into high and low and logistics regression analysis were performed. All statistical results obtained were deemed significant at p < 0.05.

Anto E.O., Frimpong J., Boadu W.I., Korsah E.E., Tamakloe V.C., Ansah E., Opoku S., Acheampong E., Asamoah E.A., Nyarkoa P., Adua E., Afrifa‐Yamoah E., Annani‐Akollor M.E, & Obirikorang C. (2023). Cardiometabolic syndrome among general adult population in Ghana: The role of lipid accumulation product, waist circumference‐triglyceride index, and triglyceride‐glucose index as surrogate indicators. Health Science Reports, 6(7), e1419.

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Spatial Distribution of Soil PAHs

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Origin 8.5, Microsoft Excel 2016 and SPSS 22.0 were used for statistical analysis and chart making of the measured data. Spearman correlation analysis was used to evaluate the relationship between soil pollutant concentration, soil organic carbon (SOC) and pH. Bigemap and ArcGIS 10.5 were used to map the spatial distribution of 16 PAHs in the soil of the PRD.

Cai H., Yao S., Huang J., Zheng X., Sun J., Tao X, & Lu G. (2022). Polycyclic Aromatic Hydrocarbons Pollution Characteristics in Agricultural Soils of the Pearl River Delta Region, China. International Journal of Environmental Research and Public Health, 19(23), 16233.

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Global Neurosurgical Practice Patterns

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Results were exported from the REDCap system into Microsoft Excel© 2016, and analyzed using SPSS (SPSS Inc. Released, 2009. PASW Statistics for Windows, Version 18.0. Chicago: SPSS Inc.). Mean, mode, and frequency distributions were determined for respective variables in each country. When more than one mode was found for a variable, clarification was obtained by searching the literature or contacting neurosurgical society representatives for the respective country. When an answer was not able to be found, consensus was obtained amongst the authors as to which answer to select, and was then consistently applied to all relevant answers for a variable. Data was then analyzed at both a global and country-specific level. Countries were also grouped into high-income (HIC) and low- and middle-income (LMIC) classifications using the World Bank income classification. (The World Bank ) Nonparametric comparison of the means using the Mann-Whitney U test was performed, comparing the HIC to LMIC group.

Sarpong K., Fadalla T., Garba D.L., Suliman M., Rolle M., Ammar A., Hussen H, & Park K.B. (2022). Access to training in neurosurgery (Part 1): Global perspectives and contributing factors of barriers to access. Brain & Spine, 2, 100900.

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Statistical Analysis of Experimental Data

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The data were analyzed using Microsoft Excel 2016 and SPSS 17.0 (SPSS, Chicago, IL, USA). The figures were processed using Origin 8.5 (OriginLab, Hampton, MA, USA). The analysis of variance and mean comparison were based on the least significant difference test at the P< 0.05 probability level.

Hu Y., Cai Q., Xu Y., Xue J., Yu E., Wei H., Xu K., Huo Z, & Zhang H. (2023). One-time fertilization of controlled-release urea with compound fertilizer and rapeseed cake maintains rice grain yield and improves nitrogen use efficiency under reduced nitrogen conditions. Frontiers in Plant Science, 14, 1281309.

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