96 results on '"Yap, Sarsha"'
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2. Pathways to diagnosis of endometrial and ovarian cancer in the 45 and Up Study cohort
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
5. Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence
6. 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
7. Large-scale systematic analysis of exposure to multiple cancer risk factors and the associations between exposure patterns and cancer incidence
8. Impact of weighting on the association between sociodemographic characteristics, health behaviours and cancer, cardiovascular and all-cause mortality in the Australian 45 and Up Study
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
18. Pathways to diagnosis of endometrial and ovarian cancer in the 45 and Up Study cohort
19. Projections of smoking-related cancer mortality in Australia to 2044
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. 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)
22. 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
23. 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
24. 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
25. 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 4 of Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. Additional file 3 of Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence
34. 778Risk of 27 cancer types in relation to tobacco smoking: cohort study involving 229,028 Australians
35. Risk determinants of prostate cancer in the NSW Cancer Lifestyle and Evaluation of Risk Study (CLEAR): 150
36. Lung cancer treatment patterns and factors relating to systemic therapy use in Australia.
37. Projections of smoking-related cancer mortality in Australia to 2044.
38. Lung cancer treatment patterns and factors relating to systemic therapy use in Australia
39. Cancer incidence and cancer death in relation to tobacco smoking in a population‐based Australian cohort study
40. Health services costs for lung cancer care in Australia: Estimates from the 45 and up Study
41. Health services costs for lung cancer care in Australia: Estimates from the 45 and Up Study
42. Contributions of prognostic factors to socioeconomic disparities in cancer survival: protocol for analysis of a cohort with linked data
43. Patterns of care and emergency presentations for people with non-small cell lung cancer in New South Wales, Australia: A population-based study
44. Health services costs for cancer care in Australia: Estimates from the 45 and Up Study
45. Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCOm2012 risk prediction tool
46. Identifying incident colorectal and lung cancer cases in health service utilisation databases in Australia: a validation study
47. Differential genotypic effects of sexual trait size on offspring mating success and viability
48. 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. Differential genotypic effects of sexual trait size on offspring mating success and viability
50. Mating Reverses Actuarial Aging in Female Queensland Fruit Flies
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