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3. An inverse stage‐shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID‐19 pandemic.

4. The impact of blood sampling technique, including the use of peripheral intravenous cannula, on haemolysis rates: A cohort study.

5. The Melanoma Genomics Managing Your Risk Study randomised controlled trial: statistical analysis plan.

6. Choosing not to undergo predictive genetic testing for hereditary colorectal cancer syndromes: expanding our understanding of decliners and declining.

7. Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk.

8. Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer.

9. The CRISP colorectal cancer risk prediction tool: an exploratory study using simulated consultations in Australian primary care.

10. Comparison of Prediction Models for Lynch Syndrome Among Individuals With Colorectal Cancer.

11. Prevalence and predictors of germline CDKN2A mutations for melanoma cases from Australia, Spain and the United Kingdom.

12. Cost-effectiveness of family history-based colorectal cancer screening in Australia.

13. Cancer Risks for Relatives of Patients With Serrated Polyposis.

14. Hospital-admitted eye injury in Victoria, Australia.

15. SURROUNDED.

16. DEEP DOWN UNDER.

17. Factors in childhood as predictors of asthma in adult life.

18. Hot on the Trail.

19. Give 'Em Enough Rope.

20. Germline HOXB13 p.Gly84Glu mutation and risk of colorectal cancer.

21. Identification of IL6R and chromosome 11q13.5 as risk loci for asthma.

22. Associations between pathological features and risk of metachronous colorectal cancer.

23. Increasing bowel cancer screening using SMS in general practice: the SMARTscreen cluster randomised trial.

24. SMARTERscreen protocol: a three-arm cluster randomised controlled trial of patient SMS messaging in general practice to increase participation in the Australian National Bowel Cancer Screening Program.

25. Causal relationships between breast cancer risk factors based on mammographic features.

26. The Colorectal cancer RISk Prediction (CRISP) trial: a randomised controlled trial of a decision support tool for risk-stratified colorectal cancer screening.

27. Body Mass Index, sex, non-steroidal anti-inflammatory drug medications, smoking and alcohol are differentially associated with World Health Organisation criteria and colorectal cancer risk in people with Serrated Polyposis Syndrome: an Australian case-control study.

28. The SCRIPT trial: study protocol for a randomised controlled trial of a polygenic risk score to tailor colorectal cancer screening in primary care.

29. The development of the Western Australian Haemodialysis Vascular Access Complexity instrument.

30. What can We Learn From High-Performing Screening Programs to Increase Bowel Cancer Screening Participation in Australia?

31. An inverse stage-shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID-19 pandemic.

32. Interval breast cancer risk associations with breast density, family history and breast tissue aging.

33. Pathways to a cancer-free future: a protocol for modelled evaluations to minimise the future burden of colorectal cancer in Australia.

34. Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History.

35. A Genomic Test for Colorectal Cancer Risk: Is This Acceptable and Feasible in Primary Care?

36. Cancer screening in Australia: future directions in melanoma, Lynch syndrome, and liver, lung and prostate cancers.

37. Trends in Colon and Rectal Cancer Incidence in Australia from 1982 to 2014: Analysis of Data on Over 375,000 Cases.

38. Benefits, Harms, and Cost-Effectiveness of Potential Age Extensions to the National Bowel Cancer Screening Program in Australia.

39. Revised Australian national guidelines for colorectal cancer screening: family history.

40. Sunscreen Use and Melanoma Risk Among Young Australian Adults.

41. Family history-based colorectal cancer screening in Australia: A modelling study of the costs, benefits, and harms of different participation scenarios.

42. Evaluation of the benefits, harms and cost-effectiveness of potential alternatives to iFOBT testing for colorectal cancer screening in Australia.

43. The melanoma genomics managing your risk study: A protocol for a randomized controlled trial evaluating the impact of personal genomic risk information on skin cancer prevention behaviors.

44. Cohort Profile: The Colon Cancer Family Registry Cohort (CCFRC).

45. The CRISP-Q study: Communicating the risks and benefits of colorectal cancer screening

46. Interaction between polymorphisms in aspirin metabolic pathways, regular aspirin use and colorectal cancer risk: A case-control study in unselected white European populations.

47. Lynch syndrome and cervical cancer.

48. Germline TP53 Mutations in Patients With Early-Onset Colorectal Cancer in the Colon Cancer Family Registry.

49. Accuracy of self-reported nevus and pigmentation phenotype compared with clinical assessment in a population-based study of young Australian adults.

50. Risk of colorectal cancer for carriers of mutations in MUTYH, with and without a family history of cancer.

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