Improving statistical methods for analysing data from large clinical registries

Are you passionate about improving healthcare through cutting-edge statistical analysis? Join us for an exciting PhD project focused on transforming clinical registries into powerful tools for enhancing patient outcomes. Clinical registries, which collect data on patients with specific health conditions such as cancer or those using medical devices, play a crucial role in benchmarking and improving healthcare. However, current statistical process control methods fall short in addressing key methodological challenges in these large observational databases, including selection bias and missing data. This PhD project offers a unique opportunity to develop innovative statistical models or refine existing ones through simulation studies. You will apply these models to real-world registry data from the Australian Breast Device Registry, Australian Cystic Fibrosis Data Registry, and the Australian Diabetes Clinical Quality Registry. Your work will contribute to creating more accurate and reliable health benchmarks, ultimately leading to improved healthcare delivery and patient outcomes. Join us to make a tangible impact on the healthcare system and advance your career in biostatistics. Apply now and be part of a project that aims to set new standards in clinical research and patient care. Essential Criteria: 1. Australian Citizen or Australian permanent resident. International students may apply but a competitive scholarship application is required 2. An undergraduate (Honours) or Masters degree in Biostatistics, Statistics, Mathematics. Public Health or related discipline can be considered, especially those with impactful relevant publications 3. High-level analysis skills 4. Familiarity with Stata and/or R 4. Ability to work autonomously as well as collaborate with clinicians 5. Excellent written communication and verbal communication skills with proven ability to produce clear, succinct reports and documents 6. A demonstrated awareness of the principles of confidentiality, privacy and information handling 7. Well-developed planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines Interested candidates who meet the above selection criteria should contact Professor Arul Earnest to discuss their suitability. Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum