UNIANOVA (general linear model, univariate) was used to analyze the data of growth traits, physiological performance and structure-related characteristics, with the two-level factor “host” (host presence, host absence) and two-level factor “growth phase” (PE phase, AE phase) as factors. Univariate analysis of variance (ANOVA) was used on the data of studied traits to determine the significance of differences between tested treatments, and the means of the treatments were compared by Duncan’s multiple range tests at a 0.05 probability level. All the statistical analyses were performed using IBM Statistical Product and Service Solutions software (version 22; IBM Inc., Endicott, NY, USA).
Statistical product and service solutions software
Manufactured by IBM
Sourced in United States
Statistical Product and Service Solutions software is a suite of tools for statistical analysis and data modeling. It provides functionality for data manipulation, visualization, and advanced statistical techniques. The software is designed to assist users in analyzing complex datasets and making informed decisions.
Automatically generated - may contain errors
Lab products found in correlation
Prism software 5, by GraphPad (1 mentions)
Iq5 multicolor real time pcr detection system, by Bio-Rad (1 mentions)
All in one rt mastermix, by Applied Biological Materials (1 mentions)
Evagreen 2 qpcr mastermix, by Applied Biological Materials (1 mentions)
Accurt genomic dna removal kit, by Applied Biological Materials (1 mentions)
Quick rna isolation kit, by Huayueyang (1 mentions)
Sigmaplot 11, by Merck Group (1 mentions)
Prism 5, by GraphPad (1 mentions)
Fe136, by ADInstruments (1 mentions)
Powerlab 8 35, by ADInstruments (1 mentions)
30 protocols using statistical product and service solutions software
1
Analyzing Growth and Physiological Traits
2
Tilt Test Evaluation of Spinal Cord Injury
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The ROC curve was used to determine whether the patient experienced symptoms when the BFV (L/min) decreased to a certain extent at 5 min after 50° tilt. A one-way analysis of variance was used to compare differences in age, height, BMI, DOI, MS (upper extremity, UE), MS (lower extremity, LE), total MS, SS (light touch, LT), SS (pin prick, PP), total SS, and K-SCIM among the four groups. For post-analysis, the Scheffe test was used to determine whether the differences among the groups were significant. The data are reported as mean ± standard error. Crossover analysis and chi-squared test were used to evaluate differences in distributions of AIS grades, sex, NLI, DM, HTN, and the presence of presyncopal symptoms among the four groups. All statistical analyses were performed with IBM Statistical Product and Service Solutions software, version 26.0 (IBM Corporation, Armonk, NY, USA). Statistical significance was set at p < 0.05.
3
Comparative Analysis of Bioactive Compounds
4
Evaluating Neuronal Signal Dynamics
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All experimental values are demonstrated as the mean ± standard error of at least three recordings. Student’s t-test was used for the analysis. A p-value < 0.05 signified statistical significance. Data were analyzed using the Statistical Product and Service Solutions software (version 22.0, IBM Corp., Armonk, NY, USA) and Microsoft Excel.
5
Comparative Analysis of Bioactive Compounds
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All values were presented as mean ± standard deviation. Multiple comparisons were analyzed by using one-way analysis of variance by post hoc Tukey’s multiple-comparison test was used to determine the individual differences among the groups. Differences were considered significant at *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001. All statistical analysis was performed by Statistical Product and Service Solutions software (IBM).
6
Sensitive and Specific RT-RPA Assay for Canine Distemper Virus
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Ten ng of RNA or DNA was used as template for the specificity analysis of the RT-RPA assay. The assay was evaluated against a panel of pathogens considered important in dogs, CDV, CPV, CCoV, CPIV, PRV, and the virus also belonging to the family Paramyxoviridae, NDV.
The in vitro transcribed RNA was diluted in a 10-fold serial dilutions to achieve RNA concentrations ranging from 9.4 × 105 to 9.4 × 10−1 copies/μL, which were used as the standard RNA for CDV RT-RPA sensitivity assay. The RT-RPA was tested using the quantitative RNA in eight different times (inter-assay) and in eight replicates in one time (intra-assay) to determine the coefficient of variation (CV). The intra- and inter-assay CVs for the threshold times were calculated. The threshold time in eight different times was plotted against the molecules detected,and a semi-log regression was calculated using Prism software 5.0 (Graphpad Software, SanDiego, USA). For exact determination, a probit regression was performed using the Statistical Product and Service Solutions software (IBM, Armonk, USA).
The in vitro transcribed RNA was diluted in a 10-fold serial dilutions to achieve RNA concentrations ranging from 9.4 × 105 to 9.4 × 10−1 copies/μL, which were used as the standard RNA for CDV RT-RPA sensitivity assay. The RT-RPA was tested using the quantitative RNA in eight different times (inter-assay) and in eight replicates in one time (intra-assay) to determine the coefficient of variation (CV). The intra- and inter-assay CVs for the threshold times were calculated. The threshold time in eight different times was plotted against the molecules detected,and a semi-log regression was calculated using Prism software 5.0 (Graphpad Software, SanDiego, USA). For exact determination, a probit regression was performed using the Statistical Product and Service Solutions software (IBM, Armonk, USA).
7
Quantitative Gene Expression Analysis
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Samples (0.1 g fresh weight) were ground to powder in liquid nitrogen using a sterilized mortar and pestle. Total RNA was extracted using a Quick RNA Isolation Kit (Huayueyang Biotechnology, Beijing, China) and reverse-transcribed using a 5X All-In-One RT MasterMix with AccuRT Genomic DNA Removal Kit (Applied Biological Materials Ins, CA) according to manufacturers’ protocols. The primers were designed using Primer Premier 6.0. qRT-PCR was performed in a 10 μL reaction volume using an Evagreen 2 × qPCR MasterMix (Applied Biological Materials Ins, CA) in an IQ5 multicolor real-time PCR detection System (Bio-Rad, Hercules, CA, USA). The relative quantification method (2-ΔΔCT) was used to evaluate the quantitative variation between treatments. β-actin (GeneBank ID: HQ 163776) served as an internal control to normalize target gene quantities [52 (link)]. The gene-specific primers are listed in Supplemental Table S5 . The qRT-PCR results were analyzed using the Statistical Product and Service Solutions software (version 20.0, IBM, Armonk, NY, USA).
8
Comparison of Groups Using t-test
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Statistical analyses were performed using the Statistical Product and Service Solutions software (IBM, Armonk, NY, USA). Independent-samples t-tests was used to examine the differences between the two groups of data. A two-tailed p-value of <0.05 was considered significant.
9
Cephalometric Changes in Distraction Osteogenesis
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Three lateral cephalometric radiographs were recorded: predistraction (T1), postdistraction (T2), and 1 year after distractor removal (T3). The treatment changes were analyzed when T1 was compared with T2 (T1 vs. T2), and the stabilities were evaluated when T2 was compared with T3 (T2 vs. T3). The overall treatment changes after 1 year were evaluated when T1 was compared with T3 (T1 vs. T3). These radiographs were recorded in natural head position and the patient's lips in repose [Figure 3a –c ]. The cephalograms were digitally analyzed with the help of a Dolphin software (Dolphin Imaging and Management Solutions software (Patterson Dental®) as some of the lateral cephalograms were digital, and the rest were film based. Forty-six anatomical landmarks were used for the analysis [Figure 4a and b ]. Eighteen parameters were digitally analyzed on all the lateral cephalograms.
All the statistical analysis were performed with Statistical Product and Service Solutions (SPSS, Statistical Product and Service solutions software by IBM) software. The data were subjected to descriptive analysis for mean, range, and standard deviation of all variables. Wilcoxon-signed ranks test was used, and the P value of 0.05 was considered statistically significant level.
All the statistical analysis were performed with Statistical Product and Service Solutions (SPSS, Statistical Product and Service solutions software by IBM) software. The data were subjected to descriptive analysis for mean, range, and standard deviation of all variables. Wilcoxon-signed ranks test was used, and the P value of 0.05 was considered statistically significant level.
10
Comparative Evaluation of Robotic Systems
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The Student’s t-test was conducted to evaluate the differences between the two robotic systems. Statistical significance was set at an alpha level of 0.05. All statistical analyses were performed using Statistical Product and Service Solutions software (IBM, Tokyo, Japan).
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