张晴 Qing Zhang

张晴 Qing Zhang

Research Assistant

Durham University

Biography

Qing Zhang is a Research Assistant at the Durham Biostatistics Unit. Her research interests include medical statistics, linear mixed models and epidemiology.

Interests
  • Medical Statistics
  • (Bayesian) Linear Mixed Model
  • Survival Analysis
  • Machine Learning
Education
  • MSc in Statistics, 2022

    University of St Andrews (UK)

  • BSc (Hons) in Mathematics and Statistics, 2021

    Univiersity of Plymouth (UK)

  • BSc in Statistics, 2021

    Yunnan University (China)

  • Game Theory, 2019

    University of British Columbia (Canada)

Skills

Technical
Statistician
R (Programming)
SAS (Programming)
Python (Programming)
Hobbies
Figure Skating
Dogs
Photography

Experience

 
 
 
 
 
Research Assistant
October 2023 – Present Durham, UK

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 
Research Assistant
September 2022 – January 2023 St Andrews, UK
This position involves contributing to the Holistic Approach to Unraveling Antibiotic Resistance in East Africa (HATUA) consortium. This consortium, funded by the MRC, is an international and interdisciplinary effort aimed at exploring the drivers of antibiotic resistance in East Africa. The main HATUA study considered risk factors at environmental, socio-ecological, biological, behavioural, and community levels within three East African countries. At the heart of the HATUA study was a routinely-collected and linked data set comprising 1,800 patients, with one-third of them confirmed to have culture-confirmed UTIs. This dataset has since been expanded to include comprehensive medical profiles of patients, responses to patient and household questionnaires, in-depth interviews with drug vendors and medical professionals, as well as GPS location data for hospitals and residences. For data management, I merged geospatial information collected from study sites with data pertaining to multidrug-resistant (MDR) cases, using patient IDs as the common thread. Subsequently, I computed the prevalence of MDR in each study site. Finally, I crafted intricate, interactive maps that amalgamated diverse data sources, effectively illustrating the spatial distribution of MDR cases. In addition, my primary responsibilities include a) performing a comprehensive literature review of pertinent quantitative research articles that delve into the factors influencing antibiotic resistance at environmental, socio-ecological, biological, and community levels within three East African countries; b) creating data visualisations for publications to depict the geographical patterns of antibiotic resistance; c) engaging in scientific writing for the research paper.
 
 
 
 
 
Research Assistant
University of Plymouth
June 2021 – September 2022 Plymouth, UK
I collaborated with members of the NHS Trust on an intricate systematic review centred on clinical prediction models for survival outcomes among adult recipients of single kidney-only transplants. In my capacity as a second reviewer, my duties involved sourcing and reviewing a vast array of 4,026 citations. I independently assessed the titles and abstracts of all records and effectively resolved any conflicts through collaborative meetings. Subsequently, I embarked on the comprehensive review of the complete text of the 84 selected articles, meticulously adhering to our predefined inclusion criteria. Once again, any conflicts encountered during this process were judiciously addressed in meetings. In the final phase of this project, we meticulously summarised the characteristics of the 25 eligible articles and conducted random-effects meta-analyses. I am pleased to share that the resultant manuscript has been successfully published in Transplant International.

Contact

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