About the speakers

 

Ørnulf Borgan is a professor at the Department of Mathematics, Statistics Division, at the University of Oslo. His main research interest is survival and event history analysis, with a particular emphasis on methodology based on counting processes. He has published a number of papers on various topics in the field, including work on multi-state models, dynamic path analysis, and case-control methodology. A recent research interest is survival prediction from high-dimensional genomic data. Borgan is co-author of the monographs Statistical models based on counting processes (Springer, 1993) and Survival and event history analysis: a process point of view (Springer, 2008), and he has been editor of the Scandinavian Journal of Statistics (2007-2009). Website: http://folk.uio.no/borgan/

Bryan Langholz is Professor of Preventive Medicine and Adjunct Professor of Mathematics at the University of Southern California, Los Angeles and is an Associate Member of the Childrens Oncolology Group. He is a biostatistician who has worked on a wide range of epidemiologic studies of cancer and other chronic diseases and on clinical trials of prostate cancer and childhood cancers. His methodologic interests have included sampling methods for epidemiologic and clinical studies and analysis methods for binary and survival outcomes when there are complex exposures. Websites: http://hydra.usc.edu/langholz,
http://hydra.usc.edu/timefactors

Sven Ove Samuelsen is a professor at the Department of Mathematics, Statistics Division, at the University of Oslo. He obtained both his masters and PhD from the same Department in 1984 and 1989, respectively. Samuelsen is also working part time as researcher at the Epidemiology Division at the Norwegian Institute of Public Health. His main research themes are related to survival analysis, in particular with respect to design issues in epidemiology, but he is also much involved in applied epidemiology analysis.

Agus Salim graduated from Bogor Agricultural University, Indonesia and obtained a PhD in Statistics from National University of Ireland in 2003. He is currently an Assistant Professor in the Epidemiology and Public Health Department, National University of Singapore. Agus has a broad research interest in Biostatistics, both applied and methodological. His methodological work includes the development of statistical methods that deal with complex sampling designs.

Marie Reilly is a professor in biostatistics at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden. Her methodological work includes analysis of incomplete data and the related area of optimal design of epidemiological studies. Current work in this area includes methods for truncated/incomplete data in population registers (including family registers) and the re-use of data from case-control studies. Her applied work includes collaborations in studies of family cancer and transfusion safety, maternal screening and mother-to-child transmission of HIV.

Anna Johansson is an applied biostatistician and researcher at Karolinska Institutet, Sweden. Her research interests lie in application of statistical methods in epidemiological research, with a special focus on cancer epidemiology and reproductive epidemiology. Her methodological interest lies in cancer survival methods and teaching survival analysis. Website:
http://www.ki.se/research/annajohansson

Therese Andersson is a biostatistician and PhD student in the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet. Therese has worked as an applied biostatistician at MEB for 3.5 years, and has been involved in a variety of epidemiological studies. Her primary interests lie in cancer epidemiology and survival analysis methods used within population-based cancer studies. The title of Therese’s PhD thesis is “Extensions of flexible parametric models for population-based cancer studies”.