UCT has a branded version of figshare called ZivaHub and as promised, we are starting to upload some old slide decks, posters, etc. There are a few documents pending review, but eventually you will be able to find under my name here . We have also just uploaded a pre-print onto the arXiv titled “Bias in the estimation of cumulative viremia in cohort studies of HIV-infected individuals”.
We will be running our first workshop focused on early career biostatisticians in June 2019 in Tanzania. Dates are 13-14 June at the White Sands Hotel, Jangwani Beach, Dar Es Salaam. We are currently taking applications.
- The many roles of the collaborating biostatistician
- Collaboration with clinical researchers (theory & practice)
- Development of collaboration skills
- In depth skills assessment
- Methods & practice: Sample size and power (G*Power software)
- Biostatistical methods (GLMs, GAMs/splines, GEE and clustered data)
(may change depending on skills assessment)
Dates: Thursday 13 – Friday 14, June, 2019, 8:30-17:00 daily
Venue: White Sands Hotel, Jangwani Beach, Dar Es Salaam
Cost: $80 (2 days) includes lunch and tea breaks [Note: Does NOT include accommodation or travel]
Apply: https://goo.gl/forms/NxUu9aunt6vo2hSC2 DEADLINE: 1 May, 2019
Decision & feedback will be made on applications by 5 June, 2019
The first of three “Introduction to R” workshops led by the Division of Epidemiology and Biostatistics in the School started in the second week of March. Over three days approximately 25 Masters and PhD students learned basics of R programming and an introduction to data manipulation in R. The workshop was aimed at new users and started from the very basics.
Future workshops will build on this one and introduce students to more advanced data analysis skills in R. The workshop materials are available through the public (to UCT community) Vula site “R Training (Div Epi Bios)” which can be joined without invitation. Training was led by Elton Mukonda, a PhD student in the Division of Epidemiology and Biostatistics and supported by a number of current 2nd year MPH students as teaching assistants.
Re-post from here
Associate Professor Maia Lesosky of the Division of Epidemiology & Biostatistics has been awarded a Newton Advanced Fellowship from the Royal Society, in partnership with the Academy of Medical Sciences for the period 2019-2021.
The Fellowship aims to enable established international researchers with an opportunity to develop the research strengths and capabilities of their research groups through training, collaboration and reciprocal visits with a partner in the UK.
During the Fellowship, Dr Lesosky will collaborate with the Liverpool School of Tropical Medicine (LSTM) and the Centre for Health Informatics, Computing and Statistics (CHICAS) at the University of Lancaster Medical School. The research groups will join forces to extend Bayesian statistical methods for the analysis of multilevel models relating to exposure and lung health.
Repost from here