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Your search keyword '"Olaide Y Raji"' showing total 37 results

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1. Informed conditioning on clinical covariates increases power in case-control association studies.

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4. Supplementary Table 4 from DNA Methylation Biomarkers Offer Improved Diagnostic Efficiency in Lung Cancer

6. Supplementary Table 8 from DNA Methylation Biomarkers Offer Improved Diagnostic Efficiency in Lung Cancer

8. Supplementary Table 3 from DNA Methylation Biomarkers Offer Improved Diagnostic Efficiency in Lung Cancer

9. Supplementary Table 6 from DNA Methylation Biomarkers Offer Improved Diagnostic Efficiency in Lung Cancer

10. Incorporating epistasis interaction of genetic susceptibility single nucleotide polymorphisms in a lung cancer risk prediction model

11. Influence of common genetic variation on lung cancer risk: meta-analysis of 14 900 cases and 29 485 controls

12. A microRNA-based prediction algorithm for diagnosis of non-small lung cell carcinoma in minimal biopsy material

13. The contribution of risk prediction models to early detection of lung cancer

14. DNA Methylation Biomarkers Offer Improved Diagnostic Efficiency in Lung Cancer

15. Incorporation of a Genetic Factor into an Epidemiologic Model for Prediction of Individual Risk of Lung Cancer: The Liverpool Lung Project

16. Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia

17. LLPi: Liverpool Lung Project Risk Prediction Model for Lung Cancer Incidence

18. Factors associated with dropout in a lung cancer high‑risk cohort - the Liverpool lung project

20. The contribution of risk prediction models to early detection of lung cancer

21. Progressive lung cancer determined by expression profiling and transcriptional regulation

22. The Covariate's Dilemma

23. Performance evaluation of the DNA methylation biomarker SHOX2 for the aid in diagnosis of lung cancer based on the analysis of bronchial aspirates

24. SHOX2 DNA Methylation is a Biomarker for the diagnosis of lung cancer based on bronchial aspirates

25. Associations between genes for killer immunoglobulin-like receptors and their ligands in patients with solid tumors

26. The potential for using risk models in future lung cancer screening trials

27. The UK Childhood Cancer Study: maternal occupational exposures and childhood leukaemia and lymphoma

28. Predictive Accuracy of the Liverpool Lung Project Risk Model

29. 54 MyLungRisk calculator: a user-friendly, web-based questionnaire for risk prediction of lung cancer based on the validated Liverpool Lung Project model

30. Predictive Accuracy of the Liverpool Lung Project Risk Model for Stratifying Patients for Computed Tomography Screening for Lung Cancer

31. Abstract 4133: MicroRNAs for early detection of lung cancer

32. Abstract 4158: SHOX2 DNA methylation is a biomarker for the diagnosis of lung cancer in plasma

33. Abstract 1898: The Liverpool Lung Project risk model: An independent validation and clinical utility in primary care

34. Abstract 3015: DNA methylation biomarkers for lung cancer diagnostics: Validation in bronchial washings

35. Abstract 2893: Incorporation of the SEZ6L SNP into The Liverpool Lung Project Risk Prediction Model

36. Abstract A127: Comparison of discriminatory power and accuracy of three lung cancer risk models

37. Increased risk of lung cancer in individuals with a family history of the disease: A pooled analysis from the International Lung Cancer Consortium