Statistical Analysis definition

Statistical Analysis. The level of detectability for OT was 0.5pg/dialysate. As most samples were below the level of detectability for OT we used a binary categorization— detectable or non-detectable—for each dialysate. ▇▇▇▇▇▇▇’▇ test was used to compare the frequency of detectable OT between phases and groups. This is a non-parametric test used on nominal data to determine if row and column marginal frequencies are equal and generally used when the data consist of paired observations. A t-Test was used to determine if there was a size difference between OT cells labeled with FG and those not labeled. Data are presented as mean ± standard error of the mean (SEM).

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Statistical Analysis. Data are presented as mean ± standard error of the mean (SEM). A two way RM ANOVA was run using time spent with each stimulus animal as the dependent variable, the within-subjects factor being partner or stranger, and treatment group as the between subject factor. The ▇▇▇▇-▇▇▇▇▇ Test was used for post hoc pairwise comparisons when a significant interaction effect was detected. One way ANOVAs were run on alloparental and mating behaviors for prairie voles. Those behaviors that did not meet the criteria for normality were analyzed using the Kruskal-Wallis One Way Analysis of Variance on Ranks. A ▇▇▇▇▇▇’▇ Exact Test was used to determine group differences in the proportion of animals displaying alloparental behavior. Meadow vole mating behavior was analyzed using a t-Test and ▇▇▇▇-▇▇▇▇▇▇▇ Rank Sum Test when the normality test failed.

Statistical Analysis means the analysis of the Clinical Proof of Concept Study results performed in accordance with Section 3.5.

Examples of Statistical Analysis in a sentence

• Full details of the statistical procedures to be used will be provided in the Statistical Analysis Plan.

• Full details of these analyses will be provided in the Statistical Analysis Plan.

• DA also may be requested for any Statistical Analysis Software (SAS) licenses desired for future budget periods.

• An employee returning from sabbatical leave shall be given the same consideration for returning to the position of his/her last assignment as if he/she had been on active duty.

• The total number of TLGs will be defined upon the finalization of the Statistical Analysis Plan.

• The list of multiplicative factors for each laboratory parameter will be included in the Statistical Analysis Plan.

• The NCSS Statistical Analysis and Graphics software program is licensed by NCSS, LLC to customers for their use only on the terms set forth below.

• No amendment, modification, release or discharge to this Agreement, the Quality Agreement or any material amendment, modification, release or discharge to a Bioanalysis Plan, a Statistical Analysis Plan, or a CRO Agreement (to the extent provided in Section 2.4(o)) shall be binding upon the Parties unless in writing and duly executed by authorized representatives of both Parties.

• The process begins with the rules and requirements stated in the Protocol, Statistical Analysis Plan and Mock Data Displays.

• The projected timeline for this Project is as follows: Commencement of Work (Start Date) **** Protocol Finalised **** First Patient Enrolled **** Last Patient Enrolled **** Last Patient End of Treatment **** Last CRF to Data Management **** Database Lock **** Statistical Analysis **** Study End **** Study Completion — End Omnicare Involvement **** A detailed timeline and milestones will be developed based on the different assumptions of how the project is conducted.

More Definitions of Statistical Analysis

Statistical Analysis. The mean and standard deviation was calculated for all the subjects i.e. CWCI and CWHA. The data were further subjected to Independent t test to find out significant differences in the mean percentage of occurrence of phonological processes in both the groups. Results and Discussion Table 1. The mean and SD values of phonological processes in both CWHA and CWCI. Groups Mean SD P value Table 2. The mean percentage of occurrence of phonological processes in CWHA and CWCI. ▇.▇▇ Phonological processes CWHA CWCI T-value St. dev P-value Mean SD Mean SD The findings of qualitative analysis of data are as following: Table 3. Classification of phonological processes according to their frequency of occurrence across both the groups. CWHA CWCI CWHA CWCI CWHA CWCI

Statistical Analysis. We analyzed the data in SAS version 9.3 (SAS Institute Inc., Cary, NC, USA). Children were the unit of analysis, since compound level data pertained to each individual child from which a blood sample was collected. When appropriate, we applied sampling weights to account for the unequal probabilities of selection into the study due to the sampling design. Some epidemiologists have argued that while analyses to estimate prevalence should always maintain representativeness, analyses to investigate causal associations need not necessarily do this (▇▇▇▇▇▇▇, ▇▇▇▇▇▇▇▇▇, & ▇▇▇▇▇, 2013). This distinction is between maintaining the abilities to make statistical inferences about prevalence and scientific inferences about causality (▇▇▇▇▇▇, 2013). Thus, we performed analyses for prevalence estimates using only the 322 children from the 46 randomly sampled villages and included the sampling weights. For analyses aimed at answering questions about potential causal factors linked to BLL, we included all 383 children from all 54 villages and did not include the sampling weights. The weights represent the inverse of each child’s probability of selection at each stage in the sampling approach. We performed multiple imputation in SAS using the expectation-maximization method to account for missing values for 19 sleep area dust samples (5.0% of all observations) and 18 play area soil samples (4.7% of all observations). The missing values were assumed to be missing at random. The method used creates five estimates for each missing value, runs the statistical test requested, then takes the mean of the results from the five separate tests.