After completing her undergraduate degree in statistics and mathematics at Macquarie University, Louise Ryan left Australia in 1979 to pursue her PhD in Statistics at Harvard University in the United States. In 1983, Louise then took up a postdoctoral fellowship in Biostatistics, jointly between Dana-Farber Cancer Institute and the Harvard School of Public Health. She was promoted to Assistant Professor in 1985, eventually becoming the Henry Pickering Walcott Professor and Chair of the Department of Biostatistics at Harvard. Louise returned to Australia in early 2009 to take up the role as Chief of CSIRO’s Division of Mathematics, Informatics and Statistics. In 2012, she joined UTS as a Distinguished Professor of Statistics in the School of Mathematical and Physical Sciences.
Dr. Ryan is well known for her methodological contributions to statistical methods for cancer and environmental health research. She loves the challenge and satisfaction of multi-disciplinary collaboration. Equal to her scholarly efforts are her efforts to promote the careers of women and other groups traditionally under-represented in the profession. She has championed many causes to this end at many levels, including being a founder of the long-standing Fostering Diversity in Biostatistics Workshop at Eastern North American Region of the International Biometric Society (ENAR).
She has received a number of prestigious awards and honors, most recently her 2012 election to the Australian Academy of Science, a 2015 honorary doctorate from Ghent University, Harvard’s 2015 Centennial Medal and her new role as President-Elect of the International Biometrics Society. She is an Editor in Chief of Statistics in Medicine.
The aim of this project is to investigate the relationship of growth rate and percentage of having diarrhoea (both in the first year of a child’s growth). We have selected fifteen studies. Besides of the two main variables as indicated, we also have their demographic data including some social economic status (SES) information. Both Multiple Regression and Meta-Analysis have been used for the analyses.