Yingwei Peng
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Explore the profile of Yingwei Peng including associated specialties, affiliations and a list of published articles.
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82
Citations
639
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Recent Articles
1.
Niu Y, Fan D, Ding J, Peng Y
Stat Methods Med Res
. 2024 Dec;
34(1):150-169.
PMID: 39659151
The semiparametric accelerated failure time mixture cure model is an appealing alternative to the proportional hazards mixture cure model in analyzing failure time data with long-term survivors. However, this model...
2.
Pal S, Peng Y, Aselisewine W
Comput Stat
. 2024 Aug;
39(5):2743-2769.
PMID: 39176239
We consider interval censored data with a cured subgroup that arises from longitudinal followup studies with a heterogeneous population where a certain proportion of subjects is not susceptible to the...
3.
Johnson A, Hore E, Milne B, Muscedere J, Peng Y, McIsaac D, et al.
CJC Open
. 2024 Apr;
6(2Part A):72-81.
PMID: 38585676
Background: People living with frailty are vulnerable to poor outcomes and incur higher health care costs after coronary artery bypass graft (CABG) surgery. Frailty-defining instruments for population-level research in the...
4.
Pal S, Peng Y, Aselisewine W, Barui S
Stat Methods Med Res
. 2023 Nov;
32(12):2405-2422.
PMID: 37937365
The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the...
5.
Liang H, Wang X, Peng Y, Niu Y
Lifetime Data Anal
. 2023 May;
29(4):823-853.
PMID: 37149514
Clustered and multivariate failure time data are commonly encountered in biomedical studies and a marginal regression approach is often employed to identify the potential risk factors of a failure. We...
6.
Chen C, Chen H, Peng Y
Biom J
. 2023 Apr;
65(5):e2100368.
PMID: 37068192
We propose a semiparametric mean residual life mixture cure model for right-censored survival data with a cured fraction. The model employs the proportional mean residual life model to describe the...
7.
Peng Y, Wang Y, Xu R
Stat Med
. 2022 Nov;
42(3):228-245.
PMID: 36415044
Explained variation is well understood under linear regression models and has been extended to models for survival data. In this article, we consider the mixture cure models. We propose two...
8.
Wang Y, Ray J, Pudwell J, Gaudet L, Peng Y, Velez M
Fertil Steril
. 2022 Sep;
118(5):926-935.
PMID: 36154767
Objective: To study the association between mode of conception and risk of preterm birth, including, spontaneous and provider-initiated subtypes. Design: Population-based retrospective cohort study. Setting: Not applicable. Patients: All singleton...
9.
Webber C, Brundage M, Hanna T, Booth C, Kennedy E, Kong W, et al.
BMJ Open
. 2022 Sep;
12(9):e059597.
PMID: 36123112
Objectives: Regional variation in cancer survival is an important health system performance measurement. We evaluated if regional variation in colon cancer survival may be driven by differences in the patient...
10.
Zhang Z, Wang X, Peng Y
Lifetime Data Anal
. 2021 Nov;
28(1):116-138.
PMID: 34820722
Proportional hazards frailty models have been extensively investigated and used to analyze clustered and recurrent failure times data. However, the proportional hazards assumption in the models may not always hold...