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3. Are patients with cancer at higher risk of COVID-19-related death? A systematic review and critical appraisal of the early evidence

4. The risk of contracting SARS-CoV-2 or developing COVID-19 for people with cancer: A systematic review of the early evidence

9. Additional file 6 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

10. Additional file 3 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

11. Additional file 9 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

12. Additional file 5 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

13. Additional file 13 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

14. Additional file 8 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

15. Additional file 4 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

16. Additional file 7 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

17. Additional file 2 of Colon and rectal cancer treatment patterns and their associations with clinical, sociodemographic and lifestyle characteristics: analysis of the Australian 45 and Up Study cohort

20. The TWIN-E project in emotional wellbeing: study protocol and preliminary heritability results across four MRI and DTI measures [Article in special issue: Genetics of brain structure and function. de Zubicaray, Greig; Smit, Dirk; Stein, Jason and van 't Ent (eds)]

21. Additional file 2 of Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence

22. Additional file 4 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

23. Additional file 7 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

24. Additional file 1 of Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence

26. Additional file 2 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

27. Additional file 7 of Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence

28. Additional file 5 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

29. Additional file 6 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

30. Additional file 8 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

31. Additional file 3 of Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause

34. Lung cancer treatment patterns and factors relating to systemic therapy use in Australia.

35. 778Risk of 27 cancer types in relation to tobacco smoking: cohort study involving 229,028 Australians

36. Lung cancer treatment patterns and factors relating to systemic therapy use in Australia

38. Projections of smoking-related cancer mortality in Australia to 2044.

39. Cancer incidence and cancer death in relation to tobacco smoking in a population‐based Australian cohort study

44. Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCOm2012 risk prediction tool

46. Adult body size, sexual history and adolescent sexual development, may predict risk of developing prostate cancer: Results from the New South Wales Lifestyle and Evaluation of Risk Study (CLEAR)

49. Smoking Cessation After Cancer

50. Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCOm2012 risk prediction tool.

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