446 results on '"Peng, Yingwei"'
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2. Improving marginal hazard ratio estimation using quadratic inference functions
3. A Support Vector Machine Based Cure Rate Model For Interval Censored Data
4. Rejoinder on: Nonparametric estimation in mixture cure models with covariates
5. Nonparametric estimation in mixture cure models with covariates
6. A Frailty Index to Predict Mortality, Resource Utilization and Costs in Patients Undergoing Coronary Artery Bypass Graft Surgery in Ontario
7. The False Positive Control Lasso
8. A Selective Overview of Statistical Methods for Identification of the Treatment-Sensitive Subsets of Patients
9. Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: a Multi-Center Retrospective Study
10. Mode of conception and risk of spontaneous vs. provider-initiated preterm birth: population-based cohort study
11. An additive hazards frailty model with semi-varying coefficients
12. Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction
13. A threshold mixed-effects Tobit model for treatment-sensitive subgroup identification based on longitudinal measures with floor and ceiling effects and a continuous covariate.
14. An empirical comparison between gradient boosting methods and cox’s proportional hazards model for right-censored survival data
15. Prescription opioid characteristics at initiation for non-cancer pain and risk of treated opioid use disorder: A population-based study
16. Volume of systemic cancer therapy delivery and outcomes of patients with solid tumors: A systematic review and methodologic evaluation of the literature
17. Investigating the diagnostic capacity of uric acid in the occurrence of preeclampsia
18. A support vector machine-based cure rate model for interval censored data
19. Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study
20. A frailty index to predict mortality, resource utilization and costs in patients undergoing coronary artery bypass graft surgery in Ontario
21. Cure Models
22. Design and Analysis of Cancer Clinical Trials
23. Introduction
24. Analysis of Population-Based Cancer Survival Data
25. Joint Modeling of Longitudinal and Survival Data with a Cure Fraction
26. Bayesian Cure Model
27. The Semiparametric and Nonparametric Cure Models
28. The Parametric Cure Model
29. Testing the Existence of Cured Subjects and Sufficient Follow-up
30. Cure Models for Multivariate Survival Data and Competing Risks
31. A support vector machine based semiparametric mixture cure model
32. Community Palliative Care Initiatives to Reduce End-of-Life Hospital Utilization and In-Hospital Deaths: A Population-Based Observational Study Evaluating Two Home Care Interventions
33. Patient and hospital factors predict use of coronary angiography in out-of-hospital cardiac arrest patients
34. geecure: An R-package for marginal proportional hazards mixture cure models
35. Residual-Based Model Diagnosis Methods for Mixture Cure Models
36. Mean residual life cure models for right‐censored data with and without length‐biased sampling
37. Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials
38. Region-specific glucocorticoid receptor promoter methylation has both positive and negative prognostic value in patients with estrogen receptor-positive breast cancer
39. A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements.
40. A Nonparametric Mixture Model for Cure Rate Estimation
41. A population-based study of the treatment effect of first-line ipilimumab for metastatic or unresectable melanoma
42. Stroke After Radiation Therapy for Head and Neck Cancer: What Is the Risk?
43. What Aspects of Personal Care Are Most Important to Patients Undergoing Radiation Therapy for Prostate Cancer?
44. Imaging use for low back pain by Ontario primary care clinicians: protocol for a mixed methods study – the Back ON study
45. A new estimating equation approach for marginal hazard ratio estimation
46. Measures of explained variation under the mixture cure model for survival data
47. A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements
48. Jointly modeling longitudinal proportional data and survival times with an application to the quality of life data in a breast cancer trial
49. Integrating health-related quality of life findings from randomized clinical trials into practice: an international study of oncologists' perspectives
50. Joint modeling of longitudinal proportional measurements and survival time with a cure fraction
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