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UID:20250915T050152EDT-79894avUUd@132.216.98.100
DTSTAMP:20250915T090152Z
DESCRIPTION:1) Web Based Tools to Support HIV Incidence Estimation 2) Creat
 ing Public Use Data Sets.\n\n1)Lamin Juwara is a MSc Biostatistics student
  at 9IÖÆ×÷³§Ãâ·Ñ. He is from The Gambia and completed his BSc in Mathematics (Ho
 ns) at Kwame Nkrumah University of Science and Technology\, Ghana. Lamin s
 pent the summer as an intern at The South African Centre for Epidemiologic
 al Modelling and Analysis (SACEMA)\, working mainly with Prof. Alex Welte.
  2)Norah Finn is a second year Master of Biostatistics student. She has be
 en working with Dr. Christina Wolfson during her Master’s degree on a stud
 y estimating the prevalence of multiple sclerosis in Canada. She undertook
  her summer internship with the Canadian Longitudinal Study on Aging (CLSA
 ).\n\n	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 spreadshe
 et tools to support ‘Assay Based Incidence Estimation’ (ABIE tools). This 
 functionality has more recently been extended and repackaged\, in an R pac
 kage called ‘inctools’\, available via CRAN\, the use of which requires so
 me competence in the use of R. In order to maintain an analogue of the use
 r-friendly spreadsheet tools\, the ‘Shiny’ framework for web based R appli
 cations was used to build browser-based apps that preserve the key functio
 nality of the ABIE tools\, with various modifications as appropriate to ca
 pture evolving methods and framing of key applications\, which span the fu
 ll 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 r
 esearch 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.
 \n
DTSTART:20171031T193000Z
DTEND:20171031T203000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Lamin Juwara & Norah Finn\, MSc Biostatistics Students\, 9IÖÆ×÷³§Ãâ·Ñ
URL:/mathstat/channels/event/lamin-juwara-norah-finn-m
 sc-biostatistics-students-mcgill-282278
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