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Updated: Certara is committed to protecting your privacy. Detailsįull terms and conditions applicable to this LMS are available at the Certara Legal web page. You can opt out of these emails if you wish (located in your profile). We will also send email for general announcements about the site. We will send you email notifications regarding your training courses, including enrollment confirmations, purchase confirmations, and reminders of upcoming sessions. Course expiration dates can be found on your Dashboard. There are no refunds for e-Learning courses or certifications.
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Certara retains the right to cancel the course 30 calendar days before the first session, in which case participants will receive a full refund. There are no refunds for Live Online courses. Notification of Cancellation by Participant If you cannot attend the session for which you have enrolled, you can (1) choose a different session of the same course, (2) have another person attend in your place, or (3) you may be able to get a full or partial refund, based on the number of days prior to the session, as shown in the table. If Certara cancels a course within 30 days for any unforeseen reason a full refund will be issued and airfare exchange fees may be refunded. Certara will not be responsible for any airfare, accommodation or other costs incurred by registrants in the event a course is cancelled for any reason. If a scheduled class is cancelled, Certara will notify enrolled students at least thirty calendar days before the first day of the scheduled class and the full cost of the course would be refunded. Participants should wait to book nonrefundable travel until they receive confirmation from Certara that a class has sufficient registrations to proceed. Cancellation Policy Classroom CoursesĬertara retains the right to cancel sessions, if 30 calendar days before the first day of class, there are fewer than five students enrolled. However, you may not share, communicate, publish, copy or in any manner distribute to other parties the course materials, reference material provided, assignment solutions, quiz questions, exam questions, links or any other materials. Course MaterialsĪs a course registrant, you may view and read all materials related to your registered courses. Each user account (and any associated course registrations) is for a specific person, and cannot be transferred to a different individual once the course has started. No sharing of user accounts between multiple individuals is allowed. The email address used for your user login must be an individual account. The rest of the terms are unchanged from the previous version. The Certara "Privacy" link below has a new URL. Note: the launching of a new Certara website makes it necessary to publish a new versions of these Terms and Conditions for Certara University. All full-day course times are 9 AM to 5 PM in the time zone of the venue. The session locations and dates are shown in the Content tab. You can purchase both courses at a 25% discount compared purchasing them individually. Noteġ00-CL and 101-CL are also sold as a bundle. Prerequisitesīefore attending this course, attendees should have basic knowledge of PK/PD concepts.
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Software UsedĪ temporary license is provided to subscribers of this course approximately two weeks prior to the course.Īll attendees are required to provide their own laptop for use during the course. Note that you must register with an email address that is associated with an academic institution to get academic pricing.
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If you are an academic user, but do not have access to the academic price, please contact us so we can update your account profile. All travel, accommodation and evening meal expenses are the responsibility of the attendee. The fee is in US dollars and includes training materials, tea, coffee and lunch. From single-dose PK data they create simulations to predict the concentration profile for multiple dosing using different dosing regimens. Participants will also learn the fundamentals of compartmental modeling by creating models to fit PK observations. They will analyze NCA results to determine if two formulations are bioequivalent. They will use nonparametric superpositioning to predict the concentration profile at steady state. They will determine PK parameters using noncompartmental analysis.
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Participants will learn how to import data into Phoenix, and explore the data by creating plots and tables. This course focuses on the practical analysis of PK data, and includes the theory necessary to support the effective use of Phoenix WinNonlin.