Methods of Analysis. The testing laboratory shall use methods of analysis and procedures to ensure reliable drug and alcohol test results including standards for initial screening tests and confirmatory tests. The method of analysis shall use immuno-chemical technology or chromatography for initial screening tests, and confirmation must be gas chromatography/mass spectrometry, except that where gas chromatography/mass spectrometry is not the scientifically accepted method of choice, the test must be confirmed by a method using some form of chromatography.
Methods of Analysis. The testing laboratory shall use methods of analysis and procedures to assure reliable drug and alcohol testing results, including standards for initial screening tests and confirmatory tests.
Methods of Analysis. The following documents shall be made available by the company or person responsible for placing the cosmetic products in the market, to the cosmetic regulatory authority:
Methods of Analysis. The testing laboratory shall use methods of analysis and procedures to ensure reliable drug and alcohol testing results, including standards for initial screening tests and confirmatory tests. The testing laboratory shall perform each test analysis in accordance with the applicable standards of the licensing, accreditation or certification program listed in the Minnesota Drug and Alcohol Testing in the Workplace Act in which it participates.
Methods of Analysis. All analyses shall be made by the methods ------------------- outlined in Exhibit "B" - Procedure "XXX S-009", Exhibit "C" - Procedure "XXX S-010", Exhibit "D" - Procedure "XXX S-005", Exhibit "E" - Procedure "XXX S-008", Exhibit "F" - Procedure XXX S-007, Exhibit "G" - Procedure XXX S-003, which are attached hereto and made a part hereof or by such other methods as QIT shall consider appropriate provided that the results obtained from such other methods are consistent with the results which would be obtained by using the methods outlined in the above-mentioned Exhibits.
Methods of Analysis. All analyses shall be made by the methods outlined in Exhibit "B" Procedure "XXX 004", Exhibit "C" Procedure "XXX 124", Exhibit "D" Procedure "XXX 051", Exhibit "E" Procedure "XXX 079" and Exhibit "F' Procedure "XXX 008" which are attached hereto and made a part hereof, or by such other methods as XXX shall consider appropriate provided that the results obtained from such other methods are consistent with the results which would be obtained by using the methods outlined in the above-mentioned exhibits.
Methods of Analysis. The survey results were collected and viewed through the use of Google surveys. The results were viewed and analyzed both in the summary format Google prepares and in the spreadsheet format to analyze individual responses. The survey results in both forms helped provide detailed individual answers and highlight any trends across all respondents. The multiple-choice and check all that apply questions were analyzed through the summary graphs and charts Google prepares, while the short/long answer questions were viewed in the spreadsheet model where each response was read carefully. All 30 individual responses were read with an intention to notice any themes that might have emerged. Complete findings of the survey research are included in Appendix A. Handwritten notes were taken during each interview. These notes were not verbatim but focused on capturing key themes lifted up from interviewees. Each interview was audio-recorded and reviewed twice after the fact. “Sa ou xxxxxx xx li ou rekolte” [you reap what you sow]
Methods of Analysis. Consultant’s assessment of transportation conditions, deficiencies, and needs, and facility designs, must use established and generally accepted methods, published guidelines, and established policies, including Highway Capacity Manual methods and procedures for modeling transportation conditions (e.g., Synchro/SimTraffic) and the Oregon Transportation Analysis Procedures Manual. Consultant’s Services associated with the assessment and update of the 2010 TSP must follow guidance in the Transportation System Planning Guidelines 2008. Consultant’s analysis of motor vehicle traffic conditions must be performed by or under the guidance of an Oregon licensed professional engineer (Civil or Traffic specialty), using methods specified in the ODOT Analysis Procedure Manual. Consultant’s other analysis detailed in the SOW must be based on established and generally accepted methods, published guidelines, and established policies.
Methods of Analysis. For this analysis, the R package of “funcy” was utilized to perform functional data cluster analysis. The funcit function in “funcy” was used to perform fitfclust (Xxxxx & Sugar, 2003), distclust (Xxxx & Xxxxxx, 2008), iterSubspace (Xxxxx & Xxxx Xx, 2007), funclust (Xxxxxxx & Xxxxx, 2013), waveclust (Giacofci et al. , 2013), and fscm (Jiang & Xxxxxx, 2012). K-Means clustering was performed using the kmeans.fd R function. To use these procedures, the data also needed to be converted into a functional data object in R. This was accomplished by formatFuncy function in “funcy” under the Format1 argument. The statistical measures of agreement were also calculated using the confusionMatrix function in the “caret” and “e1071” packages in R. Weighted kappa was additionally calculated using the wkappa function in the “psych” package in R. The seeds 12345 and 123456 were also used for the reproducibility of the analysis. It is also important to note that each clustering procedure by default outputs clusters labeled as 1 and 2 when specified to cluster the data into two groups. To assess agreement between the proposed clusters and expert scores, the proposed clusters under each clustering procedure were re-labeled to correspond to the expert score. This relabeling technique was clinically driven as individuals with obstructed kidneys had higher concentrations of MAG3 across most time points including the final time points. Hence, this can mathematically be evaluated by comparing the sum of the cluster center across the final time points. Mathematically, we relabeled cluster 1 from the clustering algorithm as obstructed if the sum of the last five centers of cluster 1 were greater than the last five centers of cluster 2. It follows that cluster 2 in that case would be labeled as the not-obstructed group. Moreover, cluster 2 from the clustering algorithm was relabeled as obstructed if the sum of the last five centers of cluster 2 were greater than the last five centers of cluster 1. Then, cluster 1 would be relabeled as the not obstructed group. Training Set Construction Initial analysis was done only on the training set in order to gain a better understanding of the performance of the unsupervised clustering algorithms. The training set is a subset of the 216 renogram curves and only contains renogram curve data for individuals that had all three experts give the same score for obstructed kidney (2) or not obstructed kidney (0). For example, an individual where all ex...
Methods of Analysis. Also when analysing financial information the Xxxxx report noted that it is important to consider the risks applicable to SHA operations. Some financial viability risks identified during the review include: government grants not covering net cash outlays; value of properties decreasing; significant restoration costs required on properties; and the impact of external factors (e.g. GST). Appendix C of the Xxxxx report contains a list of recommended financial performance indicators which can be used to analyse the SHAs’ financial information. These ratios are designed to highlight relationships between various items in the financial statements and can be used to put individual numbers in financial statements in context. Financial ratios can be used for: • comparison of financial operations from year to year; • comparison between SHAs (note the comments below about comparability issues that should be considered); • comparison with set and agreed targets. The analysis of these ratios performs a number of functions, including: • providing some meaning to the information received by the SHAs, which cannot be identified using the raw data due to the relative differences in size of the various operations; • highlighting issues associated with certain SHAs—these can then be investigated with the help of the SHA and, where appropriate, solutions discussed and agreed on; • raising questions which can be discussed with the states and territories to achieve a good understanding of their operations; and • a high-level audit of the information received. In addition to these indicators, further high-level analysis needs to be performed including such measures as: • identifying which SHAs are operating in deficit; • identifying which SHAs are financing deficit operations through external borrowings; and • comparing changes in the size of operations of SHAs.
