Excel 2007

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Excel 2007 is a spreadsheet software application developed by Microsoft. It provides a grid-based interface for organizing, analyzing, and visualizing data. Excel 2007 includes tools for creating and manipulating worksheets, formulas, and charts.

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Office Excel 2007 (50 citations) Microsoft Excel 2007 (18 citations) MS Excel 2007 (12 citations) Microsoft Office Excel 2007 (5 citations) Excel Sheet 2007 (3 citations)

201 protocols using excel 2007

Statistical Analysis of Descriptive and Interferential Data

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Collected data were entered in the Microsoft excel 2007, and was converted into SPSS 11.5 version for statistical analysis. For descriptive statistics, percentage, mean, standard deviation, median, interquartile range, minimum and maximum values were calculated. For interferential statistics, the chi-square test or Fischer’s exact test (when one or more cells had a count less than 5) were used for the categorical outcome. Independent t-test (for normally distributed data) or Mann–Whitney U test (for non-normal distribution) was applied to compare the numerical outcome between groups. These tests were used to determine the significant differences between groups and other selected sociodemographic, clinical parameter, laboratory parameter, and treatment outcomes at 95% CI, where the level of significance was considered P less than 0.05.
The work has been reported in line with the STROCSS guidelines^{13 (link)}.

Yadav T.N., Pandit N., Deo K.B., Awale L., Neupane D, & Adhikary S. (2024). Continuous versus interrupted anastomotic technique for the hepaticojejunostomy: a prospective cohort study. Annals of Medicine and Surgery, 86(4), 1950-1955.

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Comparative Multivariate Analysis of Treatments

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Data were processed using Excel 2007, SPSS17.0 and 3.1.2 R software. Duncan's multiple range test was used to separate the means. Treatment means were compared using least significant difference tests at a 5% level of probability.

Chai M., Zhu X., Cui H., Jiang C., Zhang J, & Shi L. (2015). Lily Cultivars Have Allelopathic Potential in Controlling Orobanche aegyptiaca Persoon. PLoS ONE, 10(11), e0142811.

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Statistical Analysis of Behavioral and Physiological Data in Mice

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The normality of data was determined by chi-square goodness of fit (data is not normally
distributed if the P<0.05) and skewness and kurtosis values (data is
normally distributed if the kurtosis and skewness values are in the range of −2 to 2).
Results obtained from the FST were analysed by Mann-Whitney U test. Results from the
sociability and social novelty preference test and mouse body weight changes were analysed
by the two-tailed Student’s t-test with the treatment as an independent
variable. Data from the mouse body weight changes and spatial learning were analysed by
two-way repeated measures analysis of variance (ANOVA) with the day as the within-subjects
factor and group as the between-subjects factors, followed by Bonferroni post
hoc multiple comparisons where appropriate. Results obtained during the probe
phase were analysed separately by one-way ANOVA (group as the between-subject factor).
Microsoft Excel 2007 and SPSS 16.0 were used for all statistical analyses. A
P<0.05 was accepted as a significant value for all data analyses.
All the data presented are expressed as the mean ± SEM.

Zain M.A., Pandy V., Majeed A.B., Wong W.F, & Mohamed Z. (2018). Chronic restraint stress impairs sociability butnot social recognition and spatial memoryin C57BL/6J mice. Experimental Animals, 68(1), 113-124.

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Viable Bacterial Counts Analysis

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All experiments were performed in triplicates, and the statistical analysis was carried out using Microsoft Excel 2007 and SPSS version 16. The viable plate counts are expressed as the mean ± standard deviation of log₁₀ colony-forming units per millilitre (log₁₀ CFU/mL). Statistical comparisons were drawn using the t-test, and differences were considered statistically significant at p < 0.01 and p < 0.05.

Sreenadh M., Kumar K.R, & Nath S. (2022). In Vitro Evaluation of Weizmannia coagulans Strain LMG S-31876 Isolated from Fermented Rice for Potential Probiotic Properties, Safety Assessment and Technological Properties. Life, 12(9), 1388.

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Th17 and Treg Cells in Lung Cancer

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Excel 2007 and SPSS 25.0 (SPSS Inc., Chicago, IL, USA) were used to input the collected data for statistical analysis. Analysis of variance was adopted to compare the correlation between Th17 cells and Treg cells. CellQuest was employed to analyze the results, and Th17 cells were expressed as a percentage. The mean ± standard deviation(

\bar{x}

± s) was used to represent the measurement data conforming to a normal distribution. ANOVA was used to represent Th17 cells and Treg cells among lung cancer groups with different stages and types, and frequency and frequency (%) were used to represent the nonconforming count data. The correlation between Th17 cells and Treg cells was analyzed by Pearson correlation analysis. The counting data were tested by χ². The difference was substantial at P < 0.05.

Wang X., She X., Gao W., Liu X, & Shi B. (2022). Correlation between the Treg/Thl7 Index and the Efficacy of PD-1 Monoclonal Antibody in Patients with Advanced Non-Small-Cell Lung Cancer Complicated with Chronic Obstructive Pulmonary Disease. Computational and Mathematical Methods in Medicine, 2022, 2923998.

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Factors Influencing MDR-TB Treatment Enrollment

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All patient forms and clinic records were double entered into a Microsoft Excel 2007 spreadsheet and then imported into SPSS17.0. Odds ratios (ORs) with 95% confidence intervals (CIs) were reported to evaluate the risk factors associated with non-enrollment in MDR-TB treatment in the univariate analyses. All tests were two-tailed, and a P value less than 0.05 was considered statistically significant. Binary logistic regression modeling was used for the multivariate analysis; all variables were initially included in the model, and the forward selection method was used to select variables for inclusion in the final model.

Xu Z., Xiao T., Li Y., Yang K., Tang Y, & Bai L. (2017). Reasons for Non-Enrollment in Treatment among Multi-Drug Resistant Tuberculosis Patients in Hunan Province, China. PLoS ONE, 12(1), e0170718.

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Sex Differences and Age in HIV Outcomes

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Associations between sex differences or age and clinical outcome were analyzed using Excel 2007 and SPSS 21.0. In treatment-naïve children and HEU infants, sex differences in CD4 counts, CD4%, and VL were compared using the Mann-Whitney U-test, and a linear regression model for multivariate analysis. In children receiving ART, sex differences in outcome were analyzed by the log rank test and Cox proportional hazards models.

Mori M., Adland E., Paioni P., Swordy A., Mori L., Laker L., Muenchhoff M., Matthews P.C., Tudor-Williams G., Lavandier N., van Zyl A., Hurst J., Walker B.D., Ndung’u T., Prendergast A., Goulder P, & Jooste P. (2015). Sex Differences in Antiretroviral Therapy Initiation in Pediatric HIV Infection. PLoS ONE, 10(7), e0131591.

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Statistical Analysis of Experimental Data

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The results were presented as number, percentage, and whenever possible as mean ± standard deviation. The data were analyzed using two-tailed, unpaired difference between two means Student's t-test, one-way analysis of variance post hoc Tukey (Honest significant difference) test, and Pearson's (rho) correlation test. The statistical analysis was carried on by Excel 2007 and SPSS version 17 (SPSS. Inc, Amazon.co. Uk) programs taking a P ≤ 0.05 as the lowest limit of significance.

Al-Nimer M.S., Al-Mahdawi S.A., Abdullah N.M, & Al-Mahdawi A. (2017). Epileptic Patients are at Risk of Cardiac Arrhythmias: A Novel Approach using QT-nomogram, Tachogram, and Cardiac Restitution Plots. Journal of Neurosciences in Rural Practice, 8(1), 7-13.

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Adherence to School-Level Factors

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Data was entered in Microsoft Excel 2007, and then analyzed using the SPSS software version 16.0. First, descriptive frequencies for adherence to the 11 TFS criteria, and all school-level variables were generated. Second, bivariate analysis was conducted wherein all nominal school-related variables were tested for association with adherence to TFS criteria using Chi-square statistic; t-test was employed for interval-level variables. Finally, variables that were significant at p < 0.05 level in the bivariate analysis were included in a logistic regression model to find the best predictors of adherence.

Chatterjee N., Kadam R., Patil D, & Todankar P. (2017). Adherence to the Tobacco-Free School Policy in Rural India. Asian Pacific Journal of Cancer Prevention : APJCP, 18(9), 2367-2373.

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Lymphocyte Analysis in Meibomian Gland Dysfunction

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The Mann–Whitney U test was used to test for differences in parameters of diffuse lymphocyte density, parafollicular lymphocyte density, follicles, follicular reflex intensity, and follicular area between the MGD group and the control group. Correlations of CALT-related parameters and lid margin findings were analyzed with Pearson correlation analysis. The independent-samples t test was used to compare the percentages of CD4⁺ and CD8⁺ cells between the groups. Statistical analysis was performed using Microsoft Excel 2007 and SPSS 22.0 software. P < 0.05 was taken as the statistically significant threshold.

Liu Y., Wang Y., Jin X., Zhang N., Shi Y., Zhu R., Wang J., Dong Y, & Zhang H. (2021). Observation of Conjunctiva-Associated Lymphoid Tissue With In Vivo Confocal Microscopy in Healthy Patients and Patients With Meibomian Gland Dysfunction. Cornea, 41(9), 1129-1136.

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