Event
Lamin Juwara & Norah Finn, MSc Biostatistics Students, 9I制作厂免费
Tuesday, October 31, 2017 15:30to16:30
Purvis Hall
Room 24, 1020 avenue des Pins Ouest, Montreal, QC, H3A 1A2, CA
1) Web Based Tools to Support HIV Incidence Estimation 2) Creating Public Use Data Sets.
1)Lamin Juwara is a MSc Biostatistics student at 9I制作厂免费. He is from The Gambia and completed his BSc in Mathematics (Hons) at Kwame Nkrumah University of Science and Technology, Ghana. Lamin spent the summer as an intern at The South African Centre for Epidemiological Modelling and Analysis (SACEMA), working mainly with Prof. Alex Welte. 2)Norah Finn is a second year Master of Biostatistics student. She has been working with Dr. Christina Wolfson during her Master鈥檚 degree on a study estimating the prevalence of multiple sclerosis in Canada. She undertook her summer internship with the Canadian Longitudinal Study on Aging (CLSA).
1)Population level incidence (and trend) estimation continues to be highly desirable but remains both difficult and expensive. Over the last 8 years, SACEMA researchers have circulated three generations of spreadsheet tools to support 鈥楢ssay Based Incidence Estimation鈥� (ABIE tools). This functionality has more recently been extended and repackaged, in an R package called 鈥榠nctools鈥�, available via CRAN, the use of which requires some competence in the use of R. In order to maintain an analogue of the user-friendly spreadsheet tools, the 鈥楽hiny鈥� framework for web based R applications was used to build browser-based apps that preserve the key functionality of the ABIE tools, with various modifications as appropriate to capture evolving methods and framing of key applications, which span the full range of the project cycle from study design to analysis of survey data. The seminar provides some background to the ideas, methods and tools, and includes a demo of the current versions developed during this research visit to SACEMA 2)Releasing public use data sets allows for the broader research community to access large and interesting data sets, without the barriers of a complicated application process. In this talk, I will share my research conducted for the Canadian Longitudinal Study on Aging (CLSA). I will outline various techniques that can be implemented when creating a public use data set, and the risks associated with releasing this data.
1)Population level incidence (and trend) estimation continues to be highly desirable but remains both difficult and expensive. Over the last 8 years, SACEMA researchers have circulated three generations of spreadsheet tools to support 鈥楢ssay Based Incidence Estimation鈥� (ABIE tools). This functionality has more recently been extended and repackaged, in an R package called 鈥榠nctools鈥�, available via CRAN, the use of which requires some competence in the use of R. In order to maintain an analogue of the user-friendly spreadsheet tools, the 鈥楽hiny鈥� framework for web based R applications was used to build browser-based apps that preserve the key functionality of the ABIE tools, with various modifications as appropriate to capture evolving methods and framing of key applications, which span the full range of the project cycle from study design to analysis of survey data. The seminar provides some background to the ideas, methods and tools, and includes a demo of the current versions developed during this research visit to SACEMA 2)Releasing public use data sets allows for the broader research community to access large and interesting data sets, without the barriers of a complicated application process. In this talk, I will share my research conducted for the Canadian Longitudinal Study on Aging (CLSA). I will outline various techniques that can be implemented when creating a public use data set, and the risks associated with releasing this data.