STATISTICS COLLOQUIUM
Neal Thomas
Pfizer Inc.
Using meta-analyses to guide statistical methodology
for clinical dose response studies
ABSTRACT
Two meta-analyses of dose response data will be presented. One is based on data from a single sponsor (Pfizer), and one based on published industry-wide data. The dosing designs actually implemented are described, along with common patterns of dose response. The analyses demonstrate that a single concise parametric model describes most clinical dose response data well. It also provides an empirical basis for prior distributions for some of the model parameters that are useful for both the design and analysis of future studies. An example of how this information can be important when interpreting data will be given. The approach described is contrasted with much of current statistical practice, and its broader implications will be noted.
DATE: Wednesday, October 5, 2016
TIME: 4:00 pm
PLACE: Philip E. Austin Bldg., Rm. 105
Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu