MRC Biostatistics Unit Advanced Summer School in Biostatistics
September 7th- 11th 2015
Registration is NOW OPEN at http://www.mrc-bsu.cam.ac.uk/training/summerschool/
What We Do
We are a leading European centre for research in biostatistics and a major centre for training and knowledge transfer. We are part of the Cambridge Institute of Public Health.
Our researchers work across four major themes:
Take-home naloxone (THN) & naloxone-on-release (NOR) reduce opioid-related deaths: from evidence of high risk soon after prison-release through science-led evaluations of THN/NOR to the monitoring of national naloxone policies.
Sheila M. Bird, MRC Biostatistics Unit, CAMBRIDGE CB2 0SR “Success has a thousand fathers, failure is an orphan”. On December 8th 2014, we marked success. In 15 prisons in England, we ceased to randomize eligible prisoners (those with a history of heroin injection) in the N-ALIVE pilot Trial and, as of 9th December, offer naloxone-on-release […]
In this feature Steven Hill (an Investigator Statistician within Sach Mukherjee’s group at the MRC Biostatistics Unit) describes how important causal relationships are for science and his involvement in a recent, high-profile computational biology challenge known as “DREAM” that focused on causality. Determining cause and effect is one of the central goals of science: for […]
- Short course: Making Sense of Genomic Data: Theory and Practice
THIS COURSE HAS NOW BEEN CANCELLED IN LIEU OF OUR ADVANCED SUMMER SCHOOL IN BIOSTATISTICS […]
- Press Release: 35 partners from industry and academia to join European research initiative for the prevention of Alzheimer’s dementia
The European Prevention of Alzheimer's dementia (EPAD) Initiative is a collaborative research initiative to improve […]
- Short course: Practical use of Multiple Imputation to Handle Missing Data
Tue 24th - Wed 25th March 2015 Two day course by Ian White, Angela Wood, […]
- Daniela De Angelis Invited Speaker at Mathematical Challenges for Long Epidemic Time Series Workshop at Warwick Mathematics Institute
Epidemic time series have an important role in epidemiology, allowing past patterns to be […]
- Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data.
Rhodes, KM., Turner, RM., Higgins, JP.
J Clin Epidemiol 68(1): 52-60. (7th January 2015)
- Covariate-adjusted measures of discrimination for survival data.
White, IR., Rapsomaniki, E., , .
Biom J [Epub ahead of print]. (20th December 2014)
- Design of telehealth trials - Introducing adaptive approaches.
Law, LM., Wason, JM.
Int J Med Inform 83(12): 870-880. (16th December 2014)
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