Quantitative variables are presented as the mean ± standard deviation or median with interquartile range. Categorical variables were analyzed using χ2 or Fisher exact tests. Continuous variables were assessed with the Mann-Whitney U or Student t-tests depending on the distribution of the data. Repeated measures analysis of variance was used to compare the difference between the times in the two groups. A P-value of <0.05 was considered to indicate a statistically significant difference and was adjusted for multiple comparisons when appropriate. A quantal response model (probit analysis) was used to calculate the EC0.5, EC50 and EC95 at each endpoint based on the predicted plasma and effect-site propofol concentrations. The following software packages were used to perform the analysis: Excel 2000 (Microsoft Corp., Redmond, MA, USA) and SPSS software version 10.0 (SPSS, Inc., Chicago, IL, USA). Since the EC50 changes of propofol at the time of LOC during AHHD had not been previously examined, a convenient sample size of 20 patients was selected. The statistically significant decline in the value of the EC50 of propofol at LOC indicated that the present study was adequately powered.
Spss software version 10
Manufactured by IBM
Sourced in United States
SPSS software version 10.0 is a statistical analysis tool. It provides a comprehensive set of tools for data management, analysis, and presentation. The software is designed to help users perform complex statistical analyses with ease.
Automatically generated - may contain errors
Lab products found in correlation
Sigmastat 3, by Merck Group (1 mentions)
Prism 5, by GraphPad (1 mentions)
Enhanced chemiluminescence western blot detection reagent, by GE Healthcare (1 mentions)
Spss software version 20, by IBM (1 mentions)
Rat ip3 enzyme linked immunosorbent assay kit, by Cusabio (1 mentions)
Glass homogenizer, by Merck Group (1 mentions)
Versamax plate reader, by Molecular Devices (1 mentions)
68 protocols using spss software version 10
1
Propofol Pharmacokinetics During AHHD
2
Correlating Immunohistochemistry and Clinicopathological Features
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The association between IHC findings and clinical features, including alterations of tumor stage, pathological stage and expression markers were analyzed by Spearman's rank correlation coefficient. SPSS software (version, 10.0; SPSS Inc., Chicago, IL, USA) was used for all calculations. P<0.05 was considered to indicate a statistically significant association.
3
Statistical Analysis of Clinical Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were analyzed with SPSS software version 10.0 statistical package (SPSS, Chicago, IL, USA). Continuous and interval-related data are presented as the mean ± SD for normally distributed variables, whereas median (range) for other variables. Categorical variables are presented as frequency distribution and percentages. Wilcoxon signed-rank test was performed to analyze statistically the difference from baseline values. P < 0.05 was considered statistically significant.
4
Serum Marker Analysis Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All data were expressed as means ± standard deviation. One-way analysis of variance with Tukey's multiple comparisons test was used for serum markers and physiological parameters. Significant differences were established at P < 0.05. For all statistical analyses, SPSS soft ware version 10.0 (SPSS Inc., Chicago, IL, USA) was used.
5
Comparative statistical analysis protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data are presented as means ± standard error of the mean (SEM) for three independent experiments. Statistical analyses were performed using SPSS software version 10.0 (SPSS Inc., Chicago, IL, USA) program. For multiple comparisons, one-way analysis of variance was used with post hoc Bonferroni test. We considered P values < 0.05 statistically significant. Significance levels are designated as follows: *p < 0.05; **p < 0.01.
6
Tibial Tunnel Filling in ACL Revision
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The tibial tunnel filling rate was the primary outcome parameter. No data exist on minimal clinically important differences of filling rates in two-staged revision ACL surgery. For the purpose of this study, a difference of 10% between the two groups was considered to have the potential of becoming clinically significant. From the literature the mean tibial filling rates utilizing autologous cancellous bone harvested from the iliac crest was 78 with a SD of 14 [18 (link)]. Under these conditions and using the G*Power software Version 3.1, the sample size was calculated to be 86, with the probability of less than 5% for type I error and a power of 95%. Thus, with a total of 52 in the allogenic and 51 in the autologous group an adequate statistical power was ensured.
Metric results are given as mean values with standard deviations. Statistical analyses were performed using unpaired t tests for parametric and Mann–Whitney U tests for non-parametric datasets. The Chi-square test was used for nominal results. Statistical analyses were conducted with the SPSS software version 10.0; the level of significance was set at p ≤ 0.05.
Metric results are given as mean values with standard deviations. Statistical analyses were performed using unpaired t tests for parametric and Mann–Whitney U tests for non-parametric datasets. The Chi-square test was used for nominal results. Statistical analyses were conducted with the SPSS software version 10.0; the level of significance was set at p ≤ 0.05.
7
Standardized Mortality Coefficient Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We used the SPSS software, version 10.0, to identify and estimate suicide rates and standardized mortality coefficients. To calculate mortality coefficients, population data and data on mortality due to external causes were used. The overall mortality coefficient is one of the indicators of the state of health of a population. For the purposes of comparing populations, standardization was indispensable for correcting distortions resulting from possible differences in their composition with respect to attributes or variables related to the probability of death.17 (link)
The median of the participation percentages, rather than the arithmetic mean, was used with the aim of removing the influence that, in this case, would be exerted by possible occurrences, in certain populations, of strongly disagreeing percentages of participation.18 (link) The denominator that was used to calculate the standardized coefficient was that of the standard population, which was calculated using the median population of the period studied. Historical series were built for the period from 2000 to 2017.
The median of the participation percentages, rather than the arithmetic mean, was used with the aim of removing the influence that, in this case, would be exerted by possible occurrences, in certain populations, of strongly disagreeing percentages of participation.18 (link) The denominator that was used to calculate the standardized coefficient was that of the standard population, which was calculated using the median population of the period studied. Historical series were built for the period from 2000 to 2017.
8
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were analyzed using SPSS software, version 10.0 (SPSS, Inc., Chicago, IL, USA). Differences were compared with the χ2 test and P<0.05 was considered to indicate a statistically significant difference.
9
Quantitative Protein Analysis Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All the quantitative data are presented as mean ± SD with at least three biological replicates for each analysis. The average optical density and the Western blotting band gray intensity were measured by Image J software. SPSS software version 10.0 was used for data analysis. The paired samples t-test was applied to compare between the each experimental group and the control group, respectively. Results of P < 0.05 were considered as statistically significant *: p < 0.05 (compared to control); **: p < 0.01 (compared to control). The one-way ANOVA and Tukey's test were applied in all the groups multiple comparisons. Different letters indicate significant differences between groups (P < 0.05).
10
Demographic Factors, Psychopathology, and Unintentional Injuries
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Bivariate analysis (chi-square tests for categorical variables) was used to assess the relationship between participants’ demographic factors and PMPU, psychopathological symptoms, and unintentional injuries. Multivariate logistic regression was used to examine the associations of PMPU and psychopathological symptoms with unintentional injuries, and to assess the interaction of PMPU and psychopathological symptoms with unintentional injuries. Statistical significance was set at P < 0.05 (two-tailed). Statistical analyses were conducted with SPSS software version 10.0 (SPSS Inc, Chicago, IL, USA).
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!