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Please see attached for a printable catalog of courses for 2010-2011.
Updated versions will appear as Printable Course Catalog under the "Main Menu" on the left-hand side of this page. |
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Fall 2011 MI101-W: Introduction to Pharmacokinetics and Pharmacodynamics (3 CR)
MI101 provides a thorough introduction to fundamental concepts in pharmacokinetics and pharmacodynamics through lectures and problem-solving lab sessions emphasizing physiologic concepts and real-world applications. Content in this course is consistent with expectations for an introductory pharmacokinetics course in a professional Pharmacy curriculum. Participants may apply the 3 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: None Click for Course Schedule and Outline
 Independent Study MI200-IS: Getting Started With Bayesian PK-PD Modeling & Simulation Using WinBUGS (1 CR) provides an introduction to Bayesian modeling and the practical use of WinBUGS for PK-PD applications. Participants may apply the 1 credit hour from this course to the Metrum Institute Certificate Program in Pharmacometrics. Independent Study: This course is being offered as an independent study online. Participants will be granted access to all lecture and lab recordings and will be eligible to receive credit upon passing all exams. Instructors have limited availability but questions to the forum will be answered on a weekly basis at minimum. Prerequisites: Experience with PK-PD modeling and some familiarity and hands-on experience with nonlinear regression, mixed-effects modeling, and use of R (or S-PLUS). Applicable MI courses include: MI205, formerly MI220, or contact us. Computer Hardware/Software: This course requires a Windows laptop computer with a web browser. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to download from the course site OR request a preloaded USB drive. Click for Course Details and Outline

Independent Study Available Through August 2011 MI205-IS: R Programming for Pharmacometrics (2 CR)MI205 (formerly MI220) covers introductory through intermediate-level R programming topics with a focus on pharmacometric applications through lectures and hands-on lab sessions. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Independent Study: This course is being offered as an independent study online. Participants will be granted access to all lecture and lab recordings and will be eligible to receive credit upon passing all exams. Instructors will have limited availability as questions to the forum will be answered on a weekly basis. Prerequisites: None. Computer Hardware/Software: This course requires a Windows computer with a web browser and R installed for hands-on examples. Click for Course Schedule and Outline
Fall 2011 MI205-W: R Programming for Pharmacometrics (2 CR)MI205 (formerly MI220) covers introductory through intermediate-level R programming topics with a focus on pharmacometric applications through lectures and hands-on lab sessions. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: None. Computer Hardware/Software: This course requires a Windows computer with a web browser. Students will be given access to a Metrum Institute web-application server for hands-on examples, including all required software. Details on how to access the program are provided at the start of the course. Click for Course Schedule and Outline
 March 16 — June 18, 2010 (12 weeks plus 2 make-up weeks) Tue 2—4pm, Fri 2—3pm Eastern Time MI210-W: Essentials of Population PK-PD Modeling & Simulation (3 CR) MI210 provides an extensive overview of topics in population pharmacokinetics and pharmacodynamics, including nonlinear mixed-effects modeling theory and implementation, data formatting requirements, population model development, model evaluation techniques, continuous PK-PD models, Monte Carlo simulation, and best practices. Instruction combines didactic lectures with hands-on exercises using R, MIfuns, and the NONMEM® 7 software. Participants may apply the 3 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics.
Prerequisites: Basic understanding of pharmacokinetic and pharmacodynamic principles, compartmental pharmacokinetic models, introductory statistics, familiarity with the R or S language. Applicable MI Courses include: MI101, MI120 and MI201, or contact us.
Computer Hardware/Software: This course requires a Windows computer with a web browser. Students will be given access to a Metrum Institute web-application server for hands-on examples, including all required software. Details on how to access the program are provided at the start of the course. Click for Course Schedule and Outline
 Independent Study Available Starting January 2011
MI210 provides an extensive overview of topics in population pharmacokinetics and pharmacodynamics, including nonlinear mixed-effects modeling theory and implementation, data formatting requirements, population model development, model evaluation techniques, continuous PK-PD models, Monte Carlo simulation, and best practices. Instruction combines didactic lectures with hands-on exercises using R, MIfuns, and the NONMEM® 7 software. Participants may apply the 3 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Independent Study: This course is being offered as an independent study online. Participants will be granted access to all lecture and lab recordings and will be eligible to receive credit upon passing all exams. Instructors will have limited availability and questions posted to the forum will be answered on a weekly basis. Prerequisites: Basic understanding of pharmacokinetic and pharmacodynamic principles, compartmental pharmacokinetic models, introductory statistics, familiarity with the R or S language. Applicable MI Courses include: MI120, MI101, MI201, or contact us. Computer Hardware/Software: This course requires a Windows computer with a web browser. Students will be given access to a Metrum Institute web-application server for hands-on examples, including all required software. Details on how to access the program are provided at the start of the course.
Click for Course Schedule and Outline
 September 14 — December 17, 2010 (12 weeks plus 1 make-up week) Tue 2—4pm, Fri 2—3pm Eastern Time MI212-W: Advanced Topics in Population PK-PD Modeling & Simulation (3 CR) MI212 covers intermediate through advanced-level population PK-PD modeling and simulation through lecture and hands-on lab sessions. Topics covered include for nonlinear PK models, modeling PK data with BQL records, models for parent-metabolite data, models for plasma and urine PK data, indirect PK-PD models, disease progression models and clinical trial simulations. This course makes extensive use of NONMEM® 7 and R, as well as the MIfuns package. Participants may apply the 3 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: MI210 and related prerequisites, or contact us. Computer Hardware/Software: This course requires a Windows computer with a web browser. Students will be given access to a Metrum Institute web-application server for hands-on examples, including all required software. Details on how to access the program are provided at the start of the course. Click for Course Schedule and Outline

 April 27-29, 2010 MI250: Introduction to Bayesian PK-PD Modeling & Simulation (3 CR) provides an introduction to Bayesian modeling theory and the practical use of WinBUGS and R for PK-PD applications. In addition to basic concepts, this course includes instruction on BUGSModelLibrary, an open-source tool developed by Metrum Institute. This library facilitates the implementation of population PK-PD models in WinBUGS for compartmental models described by algebraic or differential equations. Participants may apply the 3 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: Experience with PK-PD modeling and some familiarity with nonlinear regression, mixed-effects modeling and R (or S-Plus) is requred. Applicable MI courses include: MI 210 and MI212, or contact us. Computer Hardware/Software: This course requires a Windows laptop computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course. Location: Children’s Hospital of Philadelphia, Philadelphia, PA Click for Course Schedule and Outline
Click for Travel Information

 September 13 — December 16, 2010 (12 weeks plus 1 make-up week) Mon 2—4pm, Thur 2—3pm Eastern Time MI250-W: Introduction to Bayesian PK-PD Modeling & Simulation (3 CR) MI250 provides an introduction to Bayesian modeling theory and the practical use of Win- BUGS and R for PK-PD applications. In addition to basic concepts, this course includes instruc- tion on BUGSModelLibrary, an open-source tool developed by Metrum Institute. This library facilitates the implementation of population PK-PD models in WinBUGS for compartmental models described by algebraic or differential equations. Participants may apply the 3 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: Experience with PK-PD modeling and some familiarity with nonlinear regression, mixed-effects modeling and R (or S-Plus) is required. Applicable MI courses include: MI 210 and MI212, or contact us. Computer Hardware/Software: This course requires a Windows computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course. Click for Course Schedule and Outline

 August 17-18, 2010 MI255: Exposure-Response Modeling of Categorical, Count and Time-to-Event Data Using Bayesian and Maximum Likelihood Methods (2 CR) is an intensive course providing an introduction to modeling of categorical, count, and time-to-event data, and the practical use of WinBUGS and NONMEM® for such applications. The course provides some basic theory and illustrates some of the advantages of using Bayesian methods for these types of data sets. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: Experience with PK-PD modeling and some familiarity with nonlinear regression, mixed-effects modeling, and R (or S-Plus) is required. Prior experience with Bayesian modeling using Win-BUGS is desirable but not required. The course includes a short introduction to Bayesian principles and WinBUGS. Applicable MI courses include: MI200, MI210, MI212, MI205 (formerly MI220) and MI250, or contact us. Computer Hardware/Software: This course requires a Windows laptop computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course. Location: College of the Atlantic, Bar Harbor, ME Click for Course Schedule and Outline
Click for Travel Information

 Spring 2011 MI255-W: Exposure-Response Modeling of Categorical, Count and Time-to-Event Data Using Bayesian and Maximum Likelihood Methods (2 CR)MI255 is an intensive course providing an introduction to modeling of categorical, count, and time-to-event data, and the practical use of WinBUGS and NONMEM® for such applications. The course provides some basic theory and illustrates some of the advantages of using Bayesian methods for these types of data sets. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: Experience with PK-PD modeling and some familiarity with nonlinear regression, mixed-effects modeling, and R (or S-Plus) is required. Prior experience with Bayesian modeling using Win-BUGS is desirable but not required. The course includes a short introduction to Bayesian principles and WinBUGS. Applicable MI courses include: MI200, MI210, MI212, MI205 (formerly MI220) and MI250, or contact us. Computer Hardware/Software: This course requires a Windows computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course. Click for Course Schedule and Outline

 August 19-20, 2010 MI260: Bayesian Model-Based Meta-Analysis to Support Decision Making in Drug Development (2 CR) provides an introduction to model-based meta-analysis of summary data or a combination of summary and individual data from clinical trials to support decision-making in clinical drug development. Upon completion of the course, participants will be able to design a model-based meta-analysis of clinical trial data to address strategic decisions in a clinical drug development program and implement it using a Bayesian approach executed with WinBUGS and R. Participants will also be able to construct a model for the relationship between an efficacy- or safety-related clinical outcome and independent variables such as dose, time and patient characteristics by analysis of summary data from multiple studies, e.g., treatment means and standard deviations, and construct such a model by analysis of a combination of summary and individual data, as well as execute and interpret population simulations to support decision-making in clinical drug development. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: Experience with PK-PD modeling and some familiarity and hands-on experience with nonlinear regression, mixed effects modeling, Bayesian modeling using WinBUGS, and use of R (or S-PLUS). Other applicable MI courses include: MI200, MI205 (formerly MI220) and MI250, or contact us. Computer Hardware/Software: This course requires a Windows laptop computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course. Location: College of the Atlantic, Bar Harbor, ME Click for Course Schedule and Outline
Click for Travel Information

October 6-7, 2010 MI260: Bayesian Model-Based Meta-Analysis to Support Decision Making in Drug Development (2 CR) provides an introduction to model-based meta-analysis of summary data or a combination of summary and individual data from clinical trials to support decision-making in clinical drug development. Upon completion of the course, participants will be able to design a model-based meta-analysis of clinical trial data to address strategic decisions in a clinical drug development program and implement it using a Bayesian approach executed with WinBUGS and R. Participants will also be able to construct a model for the relationship between an efficacy- or safety-related clinical outcome and independent variables such as dose, time and patient characteristics by analysis of summary data from multiple studies, e.g., treatment means and standard deviations, and construct such a model by analysis of a combination of summary and individual data, as well as execute and interpret population simulations to support decision-making in clinical drug development. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics. Prerequisites: Experience with PK-PD modeling and some familiarity and hands-on experience with nonlinear regression, mixed-effects modeling, Bayesian modeling using WinBUGS, and use of R (or S-PLUS). Applicable MI courses include: MI205 (formerly MI220) and MI250, or contact us. Computer Hardware/Software: This course requires a Windows laptop computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course. Location: Courtyard by Marriott, Basel, Switzerland Click for Course Schedule and Outline

 Spring 2011 MI260-W: Bayesian Model-Based Meta-Analysis to Support Decision Making in Drug Development (2 CR) MI260 provides an introduction to model-based meta-analysis of summary data or a combination of summary and individual data from clinical trials to support decision-making in clinical drug development. Upon completion of the course, participants will be able to design a model-based meta-analysis of clinical trial data to address strategic decisions in a clinical drug development program and implement it using a Bayesian approach executed with WinBUGS and R. Participants will also be able to construct a model for the relationship between an efficacy- or safety-related clinical outcome and independent variables such as dose, time and patient characteristics by analysis of summary data from multiple studies, e.g., treatment means and standard deviations, and construct such a model by analysis of a combination of summary and individual data, as well as execute and interpret population simulations to support decision-making in clinical drug development. Participants may apply the 2 credit hours from this course to the Metrum Institute Certificate Program in Pharmacometrics.
Prerequisites: Experience with PK-PD modeling and some familiarity and hands-on experience with nonlinear regression, mixed-effects modeling, Bayesian modeling using WinBUGS, and use of R (or S-Plus). Applicable MI courses include: MI200, MI205 (formerly MI220) and MI250, or contact us.
Computer Hardware/Software: This course requires a Windows computer with an available USB 2.0 port. All required software used for hands-on examples will be freeware/open-source software and simple instructions will be provided for users to configure their computers before the course.
Click for Course Schedule and Outline
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