Validation Studies Sample Clauses
A Validation Studies clause outlines the requirements and procedures for conducting studies to confirm the accuracy, reliability, or effectiveness of a product, process, or system. Typically, it specifies the standards to be met, the methodology to be used, and the responsibilities of each party in carrying out the validation. For example, it may require a manufacturer to perform clinical or technical tests before a product is released or accepted. The core function of this clause is to ensure that all parties have confidence in the performance and compliance of the subject under review, thereby reducing the risk of defects or failures after implementation.
Validation Studies. Centogene shall perform, where required under Applicable Laws, and provide Shire with updated validation studies and stability studies on a yearly basis at its own costs.
Validation Studies. The design and interpretation of comparative inter- laboratory studies to establish the reliability and relevance of the EDSP optimized transferable protocols. Following validation, the optimized transferable protocols will provide the basis for endocrine disruptor test guidelines for regulatory use.
Validation Studies. The County may periodically conduct formal validation studies of HMIS Data (the "Validation Studies"). GSS will ensure the validity of the information entered into HMIS and will provide access to the County for review, as needed, to verify the accuracy of the data reported in the HMIS database. The Subrecipient will not be involved in this process as they do not have access to HMIS data.
Validation Studies. (a) CCC shall perform the following validation studies to further validate the processes and methodology used in its valuation product and services:
(1) Condition Usage/Wear Standards Study The primary objective of this study is to further validate and update at the component level the set of defining vehicle condition characteristics. This study will include nationwide field research in urban and rural areas to ascertain the condition characteristics present on vehicles located in dealer lots and on the street. This research will provide coverage across six vehicle types and all vehicle model age groups. The determination of the composition of the model age groups will also be addressed by this study.
(2) Vehicle Condition Market Value Impact Study The primary objective of this study, which will be performed through the use of the findings of the study identified in Item No. 1, is to further validate the impact of a vehicle’s condition on its market value. This study will test for dependencies vis-à-vis condition across multiple variables (i.e., vehicle type, age group, price range, and market).
(3) Refurbished, Rebuilt, and Restored Components Value Impact Study The primary objective of this study is to further validate the market value impact of refurbished, rebuilt, and restored components on a vehicle. This study will assess the positive and/or negative impact (if any) the presence of refurbished, rebuilt, and/or restored components has on a vehicle. This study will entail, inter alia, the comparison of comparable vehicles with and without refurbished, rebuilt, and/or restored components (e.g., a 1995 Taurus LX with and without a refurbished engine). This study will also address the difference in impact (if any) as between refurbished, rebuilt, and restored components.
Validation Studies a. The System Administrator may periodically conduct formal validation studies of the Data (“Validation Studies”). In order to conduct the Validation Studies, auditor(s) selected by the System Administrator may review Agency's records for purposes of verifying the validity of the information included in the Ohio BoSCoC HMIS database. Individuals involved in conducting any such Validation Studies shall sign a confidentiality agreement requiring them to maintain the confidentiality of the Data and the Agency records reviewed.
b. Agency hereby authorizes the auditor(s) to review Agency's records for purposes of verifying the validity of the information included in the Ohio BoSCoC HMIS. Agency also hereby authorizes the System Administrator to use the results of the Validation Studies, including for purposes of making future resource allocation decisions.
Validation Studies. There have been three validation studies on MVBT so far. The first study by ▇▇▇▇▇ et al. (2023) compared MVBT (version 0.5.4) with 3D motion capture during the bench press, back squat and deadlift on two separate testing days. For all exercises, 40kg was used for two working sets of eight repetitions, at fast and slow velocities. Slow sets were performed with a two second eccentric and a two second concentric. Fast sets were performed by controlling the eccentric and then moving as fast as possible during the concentric. Agreement between the devices regarding MCV and ROM was assessed using ▇▇▇▇▇▇▇’▇ zero-order product-moment correlation and ▇▇▇▇▇-▇▇▇▇▇▇ plots. In the study of ▇▇▇▇▇ and colleagues, ▇▇▇▇▇▇▇’▇ r showed moderate to nearly perfect correlations for all exercises and metrics. Correlation between MVBT and the criterion device was highest for fast squats for MCV (r = 0.95) and slow squats for ROM (r = 0.94). The lowest correlations were seen in the slow bench press for both MCV (r = 0.67) and ROM (r = 0.43). MCV biases for all exercises were <0.06 m/s, and below 2 cm for ROM. However, ▇▇▇▇▇-▇▇▇▇▇▇ plots showed large limits of agreement (LoA) for both MCV and ROM on all exercises. The lowest agreement was found for the fast deadlift, where upper and lower LoA were 0.39 and -0.43 m/s. Agreement was highest for the fast squat, with 0.16 and -0.16 m/s upper and lower LoA. The authors speculated that ROM was especially affected by differences in motion tracking algorithms between devices. Slow movements where velocities are close to zero may have led to false calculations. Overall, the study by ▇▇▇▇▇ et al. (2023) is limited by the use of fixed exercise weight of 40kg for all exercises. Furthermore, prescribing artificially slow movement velocities may lead to unnatural movement patterns. Ecological validity might be compromised, since only a small portion of the loading spectrum has been covered and participants did not approximate failure during any exercise. Additionally, only linear exercises were used, and findings may differ for more complex exercises like Olympic lifts or horizontal patterns like rows. The study only looked at MCV and ROM, while PCV was not compared between devices. Even though the authors concluded that MVBT is a valid measurement tool based on moderate to nearly perfect correlation coefficients, large limits of agreement for all exercises and metrics disagree with the statement that MVBT can be used instead of a criterion devi...
Validation Studies. The County may periodically conduct formal validation studies of HMIS Data (the "Validation Studies"). In order to conduct the Validation Studies, staff selected by the County may review the Subrecipient's records for purposes of verifying the validity of the information reported to the County and included in the HMIS database. Individuals involved in the conducting of any such Validation Studies shall sign a confidentiality agreement requiring them to maintain the confidentiality of the Data pertaining to a particular Subrecipient client. The Subrecipient hereby authorizes the County to review the Subrecipient's records for purposes of verifying the validity of the information reported to the County.
Validation Studies. The objective is to share information and develop consensus when feasible on critical aspects, prior to the conduct of validation studies, regarding: • Study objectives • Specific regulatory testing purpose • Proposed validation study design • Detailed study protocols • Substances to be tested • The basis for the selection of test substances • Participating laboratories
Validation Studies. (a) CCC shall perform the following validation studies to further validate the processes and methodology used in its valuation product and services:
(1) Condition Usage/Wear Standards Study The primary objective of this study is to further validate and update at the component level the set of defining vehicle condition characteristics. This study will include nationwide field research in urban and rural areas to ascertain the condition characteristics present on vehicles located in dealer lots and on the street. This research will provide coverage across six vehicle types and all vehicle model age groups. The determination of the composition of the model age groups will also be addressed by this study.
