This type of agreement is executed when the college wishes to enter into a contract with a pharmaceutical company for the manufacture of a drug in accordance with the specifications of the college and/or with the materials provided by the college. Manufacturing agreements are needed for both the manufacture of experimental drugs and the reconditioning/modification of the dose of existing drugs for new indications. These are complex agreements that need to be scrutinized, with regard to compliance with legislation (GMP/standards, compliance with UK/EU/FDA legislation, manufacturing authorisation for the investigative product (MA-IMP), guarantees and compensation. Coverage of higher education institutions must be taken into account in this type of agreement and the subsequent use of the product in clinical trials. Sub-price/subcontracting: agreement granted to the university under a main contract, agreement or grant. As noted in Liao , sample size is an increasing function of the probability of tolerance β a decreasing function of the disordance rate α. The disordance rate and probability of tolerance play a similar role to that of significant level and power in a Neyman Pearson frame hypothesis test parameter. It takes more samples in k > 0 than k-0 to achieve the same tolerance. If z.B. 0 and with the sample size No. 59, the agreement with the disordance rate can be quantified α 0.05 with a β probability of tolerance – 0.95. However, if k-1 (i.e.
there is a pair of disordance) and with the circumference of sample No. 59, compliance with the distortance rate can be quantified α 0.05 with a β probability of tolerance – 0.80. To have the same probability of tolerance β – 0.95, a large sample size No. 93 is required in this case. Given this interval and the assumption that both measurement methods agree, there is always a rate of disordance α therefore P (Y-X∈) 1-α. There is therefore a one-for-one relationship between the α discordance rate and the agreement interval. The evaluation of the agreement can be well described in Figure 1 . If the differences for all observations made from the two measurement methods are within the agree interval or do not exceed the k-cut differences specified outside the agreement interval, the two measurement methods are claimed in their own words in a good correspondence between the two measurement methods. A material transfer contract (MTA) is a contract that regulates the transfer of research materials between two organizations when the recipient intends to use them for research purposes. It defines the rights of the parties with respect to the extent of the use of the material, confidentiality, publication and intellectual property. From time to time, a transfer may contain software.
These agreements should not include payment for equipment other than reimbursement of transportation costs. There are many methods for assessing the adequacy of two measurement methods. According to Liao and Capen , existing approaches can be divided into three categories. The first category is the hypothesis test approach that tests the deviation from the perfect match (i.e. the interception equal to 0 and the slope equal to 1). The second category is an index approach that includes the first commonly used correlation coefficient, the intraclassizine correlation coefficient (ICC), the correlation coefficient (CCC)  and the improved CCC  and many others. The improvement in the match coefficient also takes into account the variability of each measurement method in assessing the consistency between the two measurement methods. The third category is an approach to the interval. The earliest approach in this category is the Bland-Altman  approach, which uses an approximate confidence interval of 95% for difference as a compliance limit with an additional average difference diagram.