The Pharmacometrics Group at the University of Minnesota is planning a two-week, didactic/hands-on summer school covering intermediate modeling and simulation topics.
DATES: July 13-24, 2020
LOCATION: University of Minnesota
7-115 Weaver-Densford Hall
308 Harvard St. SE
Minneapolis, MN 55455
TARGET AUDIENCE: The course is intended for PhD students and post-doctoral trainees.
PREREQUISITES: Previous experience conducting population-based analyses. The registrant will also need to bring a laptop with suitable NLME and R/RStudio software installed.
FORMAT: The format will consist of lectures, hands-on sessions, group work, and presentations, with a focus on a basic understanding of the topic, implementation of appropriate code, and interpretation of results. MPSS will be structured around R and NONMEM. Experience with PsN and Pirana is highly desirable. Evening office hours for group or individual project consultation can be arranged.
TOPICS: A variety of topics will be covered that are often beyond what can be presented in an introductory course or workshop. Topics will include simulation with mrgsolve; estimating parameter precision; incorporating between occasion variability; mixture modeling; simulation based diagnostics; covariate modeling strategies; and approaches to PK/PD modeling.
FEE: There will be no charge for the program but students are responsible for their own transportation, food, and lodging.
LIMIT TO ENROLLMENT: 20 registrants.
DEADLINE FOR APPLICATION: Friday March 20, 2020. We expect to have acceptances to the program announced by April 20, 2020.
HOUSING: A block of rooms at a University of Minnesota dormitory (single- or double-occupancy) will be reserved (https://uces.umn.edu/halls).
Other campus housing options include The Graduate Hotel (https://www.graduatehotels.com/minneapolis/) and the Days Inn (https://www.wyndhamhotels.com/days-inn/minneapolis-minnesota/days-inn-hotel-university-ave-se/overview?CID=LC:DI:20160927:RIO:Local:SM-diwnct).
MORE INFORMATION: Contact Dick Brundage at firstname.lastname@example.org; or +1 612-624-3115
MPSS Planning Committee: