14th Meeting of Researchers in Biometrics / Statistics
June 25-28, 2007, Cavtat / Dubrovnik, Croatia
Co-organizers
HBMD Croatian Biometric Society SRCE - University Computing Centre
BIOSTAT Chair
Marija Pecina
BIOSTAT Topics
Problems in bio-information analysis
- Data Visualization
- Space Reduction Methods
- Prediction and Classification
- Time and Space Modeling
- Computationally Intensive Methods
- Other
12th SCHOOL OF BIOMETRICS
School of Biometrics Invited Lecturer:
Barbara Bogacka, Oueen Mary and Westfield College, University of London UK
Title: Design of Exsperiments for Non-Linear Models
Abstract: Experimental design problems when the response is a function which is non-linear with respect to the unknown parameters will be discussed. As in linear models, here too, the chosen design can make a difference to the precision of the estimated parameters. Various criteria can be used to optimize the choice of design depending on the particular practical problem.
Similarly, when there is more than one alternative model, an optimum design for model discrimination may help in making decisions about which model to choose as the most appropriate one.
Theoretical background for optimum design for model discrimination and parameter estimation will be presented and supported by the examples from chemistry and drug development. Properties of such designs will be presented and the problems in obtaining optimum designs (coming from the non-linearity of the model) will be discussed.
How to Apply for the BIOSTAT 2007The ITI Conference participants who wish to join the Meeting or School should register using the ITI Registration Form (http://iti.srce.hr/itireg.html). Please indicate on the Form your intention to participate in the School of Biometrics, in order to receive the School handouts at the Conference. For the ITI participants, there is no additional fee for the School. Submitted papers or poster abstracts (http://iti.srce.hr/submit.html) should reach ITI Conference secretariat within ITI deadlines and should follow ITI Instructions to authors (http://iti.srce.hr/itinstr.html). Accepted papers will be presented within the ITI topic: Data Mining, Statistics and Biometrics. The detailed program will be announced later, on the ITI web site at http://iti.srce.hr/.