Jianrong Zhang and Allison Drosdowsky

Jianrong Zhang | Timely diagnosis and treatment for lung cancer: a systematic overview Allison Drosdowsky | Methodological review and meta-analysis of research on the early diagnosis and treatment of colorectal cancer

SEMINAR | Timely diagnosis and treatment for lung cancer: a systematic overview

JIANRONG ZHANG
PhD Candidate
Department of General Practice


A systematic overview comprehensively provides evidence of long waiting times for lung cancer diagnosis and treatment, and risk factors & effective interventions for reducing the waiting times.

Jianrong Zhang is a third-year PhD candidate based at the Department of General Practice & Victorian Comprehensive Cancer Centre (VCCC) Data Driven Research Hub, conducting a transdisciplinary research on the timeliness of lung cancer diagnosis and treatment, including systematic review and data-linkage study of primary & subsequent care and cancer registry.

Along with conducting research, he provides support in different student leadership roles for the Department, Melbourne Medical School, Faculty of MDHS and the University (e.g., chair for the MDHS Graduate Research Conference 2022). His research areas involve thoracic surgery & oncology, primary care, health services research, global health, and study design & methodology.

SEMINAR | Methodological review and meta-analysis of research on the early diagnosis and treatment of colorectal cancer

ALLISON  DROSDOWSKY
PhD Candidate
University of Melbourne

A systematic review on methodological considerations in research on the time to diagnosis and treatment in colorectal cancer, with a novel meta-analytic technique.

Allison Drosdowsky is a Health Services Researcher with ten years experience in a tertiary clinical setting, specialising in the development and execution of statistical analysis plans, and advising on quantitative study design and methodology. She has experience working with large administrative health datasets including cleaning and preparation of data, and statistical analysis, as well as the analysis of clinical trials, patient-reported outcome measures and health program evaluation.