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Please come to learn more about the program as well as information about the council . They will be covering a broad range of information to give you a better idea of necessary things to know during your time here at the University of Pennsylvania. No registration is neccessary. Please bring any questions you have with you.
New staff orientation is a half-day program that provides an overview of the SOM as well as specific useful information about key functions and resources that are important to SOM staff. Specifically, the program will help new staff:
It is expected that all new employees and transfers to the School of Medicine will participate in the orientation as soon after their start date as possible. Orientation sessions are generally scheduled monthly, but may vary with the volume of new hires. Invitations are sent directly to all new staff and transfers at their home address. There are three ways to register:
Barchi Library, John Morgan Building
Registration is required to attend this session. No one will be permitted to attend the session that did not register.
In addition, due to the nature of the session, anyone arriving more than 10 minutes late will not receive credit for attending the session.
Location Class of '62, John Morgan Building
Part I is a pre-requite of Part II to this workshop.
This workshop is an interactive seminar that teaches the essential tools and skills needed to develop and master the art of negotiation. This course will not only focus on developing the skill of negotiating in work place, but will also teach how they can be practiced and utilized in everyday life. After attending this workshop postdocs will be able to take the negotiating skills learned and put them to immediate use - Be it negotiating a job offer, with vendors, or buying a car, postdocs will work together to develop the skills needed to negotiate successfully.
This two part course consists of one full day workshop where attendees will learn and hone the skills needed to negotiate. This is followed three weeks later by a half day workshop where attendees will return to discuss and compare how they were able to use the skills they had learned, as well as receive some final advice on how to improve negotiating skills.
Registration is required. To register Click Here
Learn how to:
Roos Lab
A counselor from Career Services will hold walk-ins, every other Thursday for Biomedical Postdocs from 10:00am to 12:00pm. Please bring your Penn ID so they can confirm your BPP postdoc status.
Services from a counselor include:Critiques of c.v.’s, resumes, cover letter and other job hunting materials, advice about conducting an effective job search, preparation for interviews, assistance with defining your career direction.
A counselor from Career Services will hold walk-ins, every other Thursday for Biomedical Postdocs from 10:00am to 12:00pm. Please bring your Penn ID so they can confirm your BPP postdoc status.
Services from a counselor include:Critiques of c.v.’s, resumes, cover letter and other job hunting materials, advice about conducting an effective job search, preparation for interviews, assistance with defining your career direction.
A counselor from Career Services will hold walk-ins, every other Thursday for Biomedical Postdocs from 10:00am to 12:00pm. Please bring your Penn ID so they can confirm your BPP postdoc status.
Services from a counselor include:Critiques of c.v.’s, resumes, cover letter and other job hunting materials, advice about conducting an effective job search, preparation for interviews, assistance with defining your career direction.
BRB II/III Room 251
Stellar Chance 104
Please come to learn more about the program as well as information about the council . They will be covering a broad range of information to give you a better idea of necessary things to know during your time here at the University of Pennsylvania. No registration is neccessary. Please bring any questions you have with you.
RSVP Now!
The UPenn Center for Health Behavior Research presents…
Innovations in Real-Time and Mobile Measurement in Health Research, Part 2
Novel web-based platforms for conducting research and communicating with participants
Thursday, July 21th, 2011
11:00am – 1:00pm
116 Fagin Hall
Way to Health Platform
Kevin Volpp, MD, PhD
Perelman School of Medicine and the Wharton School
Engineering the Evaluation of Online Interventions
Flaura Winston, MD, PhD
Perelman School of Medicine
As space is limited and lunch will be provided, RSVP is required at chbrinfo@zimbra.upenn.edu by Friday, July 15th.This will also ensure that you receive updates and notifications regarding this event.
For more information about the Center for Health Behavior Research, visit http://www.med.upenn.edu/chbr/
CAMB Thesis Defense: Matthew Cohen
Mentor: Dr. Stuart Isaacs
Time: 10AM
209 Johnson Pavilion
"Joint Modeling of Non-Gaussian Longitudinal Outcomes and Time to Event Data"
Chengcheng Liu
Ph.D. Candidate
Division of Biostatistics
Department of Biostatistics and Epidemiology
Dissertation Co-advisors: Sarah Ratcliffe, Ph.D., Wensheng Guo, Ph.D.
Committee Chair: Justine Shults, Ph.D.
Committee Member: Kathy Lawler, PhD
Abstract: When informative dropouts exist for longitudinal studies, ignoring the informative dropout will result in biased results. Joint modeling of the outcome and dropout time can take into account some information from informative dropouts and correct some biases. In this dissertation, we introduce a random pattern mixture model to jointly model the longitudinal non-gaussian outcomes and the dropout time. The random pattern effects are defined as the latent effects linking the dropout process and the longitudinal outcome. Conditional on the random pattern effects, longitudinal non-gaussian outcome and dropout time are assumed independent. EM algorithm is used for estimation. We also apply the random pattern concept into a joint modeling of non-gaussian outcome and survival time to analyze the effects of treatment on both longitudinal and survival responses simultaneously. In the first part of the dissertation, the random pattern mixture model is applied to a dataset of the Prevention of Suicide in Primary Care Elderly Collaborative Trial (PROSPECT) to estimate the intervention effect on the binary depression outcome compared with an independent generalized linear mixed model and a shared parameter model linking the depression outcome and dropout time at subject level. We model the longitudinal binary outcome using a generalized linear mixed model with logit link function with random subject and pattern effects, and joint with the dropout model at the pattern level. The baseline Hamilton 23 Depression (HAMD) score is found to be a good surrogate for the dropout process because of its relationship to both the dropout time and the depression outcome, and is used to stratify the data into patterns. The random pattern mixture model estimates an increased and significant intervention effect compared to the generalized linear mixed model and the shared parameter model. The sensitivity of the random pattern mixture model is explored through simulations with two true underlying models. In the second part of the dissertation, we apply random pattern mixture model to a sample of end-stage renal disease (ESRD) study to estimate the baseline iron effect on the ordinal anemia outcome. A proportional odds model is used for the longitudinal ordinal anemia outcome. Age is used as a pattern variable because of its relationship with the dropout time and the ordinal anemia outcome. The random pattern mixture model estimates an increased and significant iron effect compared to an independent proportional odds model and a shared parameter model. Simulations are performed to study the robustness of the random pattern mixture model. In the third part of the dissertation, joint modeling of longitudinal outcome and survival time is applied to a sample of ESRD study. The iron effects on both longitudinal anemia and survival responses are estimated simultaneously. The longitudinal binary anemia outcome is fitted with a generalized linear mixed model with site and subject level random effects. The survival time is fitted with Cox proportional hazard model with random site level effect. The two response models are linked at site level due to data clustering by site. The joint model shows that baseline iron exposure does not significantly reduce the odds of having anemia but significantly reduce the relative risk of death, as compared to a naive approach with two independent submodels and a two-stage model.