Per Protocol Analysis Set Sample Clauses

Per Protocol Analysis Set. The per protocol (PP) analysis set is a subset of FAS and excludes all data/subjects that have met any of the critical deviation or evaluability criteria identified in the DEP.
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Per Protocol Analysis Set. The PP analysis set is a subset of all randomized subjects and excludes all data/subjects which have met any of the critical deviation criteria identified in the DEP.
Per Protocol Analysis Set. The per-protocol analysis set will consist of all ITT patients who complete the study without violations of the study protocol. Details of the analysis will be defined in the SAP prior to locking of the final database.
Per Protocol Analysis Set. The Per-Protocol (PP) analysis sets will comprise participants in the safety dataset who were compliant with study medication, and who are considered sufficiently compliant with the protocol. The participants pertaining to the PP datasets are considered ‘evaluable’ participants. Efficacy analyses performed using the PP datasets will be considered as primary analysis. The PP analysis sets are intended to represent the subset of participants who were in the intended study population, received the intended study medication (a total of 3 scheduled IVT injections once every 4 weeks), and could be evaluated for study outcomes.

Related to Per Protocol Analysis Set

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall 45th-day FTSE inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Protocol The attached Protocol shall be an integral part of this Agreement.

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  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

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