재정 지원 요구사항을 통해 공개된 자료 - Chao Cheng자세히 알아보기
제공된 곳이 있음: 14
Addressing extreme propensity scores in estimating counterfactual survival functions via the overlap weights
C Cheng, F Li, LE Thomas, F Li
American journal of epidemiology 191 (6), 1140-1151, 2022
재정 지원 요구사항 정책: Patient-Centered Outcomes Research Institute
Estimating the natural indirect effect and the mediation proportion via the product method
C Cheng, D Spiegelman, F Li
BMC medical research methodology 21, 1-20, 2021
재정 지원 요구사항 정책: US National Institutes of Health
Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials
BS Blette, J Moutchia, N Al-Naamani, CE Ventetuolo, C Cheng, ...
The Lancet Respiratory Medicine 11 (10), 873-882, 2023
재정 지원 요구사항 정책: US National Institutes of Health
A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes
FP Wilson, Y Yamamoto, M Martin, C Coronel-Moreno, F Li, C Cheng, ...
Nature communications 14 (1), 2826, 2023
재정 지원 요구사항 정책: US National Institutes of Health
Surrogate residuals for discrete choice models
C Cheng, R Wang, H Zhang
Journal of Computational and Graphical Statistics 30 (1), 67-77, 2021
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
Design and implementation of a culturally-tailored randomized pilot trial: Puerto Rican optimized Mediterranean-like diet
J Mattei, CB Díaz-Alvarez, C Alfonso, HJ O’Neill, CF Ríos-Bedoya, ...
Current Developments in Nutrition 7 (1), 100022, 2023
재정 지원 요구사항 정책: US National Institutes of Health
Is the product method more efficient than the difference method for assessing mediation?
C Cheng, D Spiegelman, F Li
American Journal of Epidemiology 192 (1), 84-92, 2023
재정 지원 요구사항 정책: US National Institutes of Health
Mediation analysis in the presence of continuous exposure measurement error
C Cheng, D Spiegelman, F Li
Statistics in Medicine 42 (11), 1669-1686, 2023
재정 지원 요구사항 정책: US National Institutes of Health
The impact of a community health worker intervention on uptake of antenatal care: a cluster-randomized pragmatic trial in Dar es Salaam
M Regan, C Cheng, E Mboggo, E Larson, IA Lema, L Magesa, L Machumi, ...
Health Policy and Planning 38 (3), 279-288, 2023
재정 지원 요구사항 정책: US National Institutes of Health
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
C Cheng, L Hu, F Li
Biometrics, 2022
재정 지원 요구사항 정책: Patient-Centered Outcomes Research Institute
Statistical methods for analysis of combined categorical biomarker data from multiple studies
C Cheng, M Wang
The annals of applied statistics 14 (3), 1146, 2020
재정 지원 요구사항 정책: US National Institutes of Health
A repeated measures approach to pooled and calibrated biomarker data
A Sloan, C Cheng, B Rosner, RG Ziegler, SA Smith‐Warner, M Wang
Biometrics 79 (2), 1485-1495, 2023
재정 지원 요구사항 정책: US National Institutes of Health
Statistical methods for analysis of combined biomarker data from multiple nested case–control studies
C Cheng, A Sloan, M Wang
Statistical methods in medical research 30 (8), 1944-1959, 2021
재정 지원 요구사항 정책: US National Institutes of Health
Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures
C Cheng, D Spiegelman, Z Wang, M Wang
G3 11 (10), jkab236, 2021
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
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