Carmen D. Tekwe, Ph.D.
Affiliations: | 2011 | Biostatistics | State University of New York, Buffalo, Buffalo, NY, United States |
Area:
Biostatistics BiologyGoogle:
"Carmen Tekwe"Parents
Sign in to add mentor| Randolph L. Carter | grad student | 2011 | SUNY Buffalo | |
| (Generalized multiple indicators, multiple causes measurement error models.) | ||||
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Publications
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| Chen X, Ji H, Luan Y, et al. (2024) Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates. Biostatistics & Epidemiology. 8 |
| Zhu T, Xue L, Tekwe C, et al. (2024) Clustering Functional Data With Measurement Errors: A Simulation-Based Approach. Statistics in Medicine. 43: 5344-5352 |
| Zhang M, Xue L, Tekwe CD, et al. (2024) PARTIALLY FUNCTIONAL LINEAR QUANTILE REGRESSION WITH MEASUREMENT ERRORS. Statistica Sinica. 33: 2257-2280 |
| Bellamy MB, Bernstein JL, Cullings HM, et al. (2024) Recommendations on statistical approaches to account for dose uncertainties in radiation epidemiologic risk models. International Journal of Radiation Biology. 1-12 |
| Zoh RS, Luan Y, Xue L, et al. (2024) A Bayesian semi-parametric scalar-on-function regression with measurement error using instrumental variables. Statistics in Medicine |
| Yu X, Zoh RS, Fluharty DA, et al. (2024) Misstatements, misperceptions, and mistakes in controlling for covariates in observational research. Elife. 13 |
| Jadhav S, Tekwe CD, Luan Y. (2022) A function-based approach to model the measurement error in wearable devices. Statistics in Medicine |
| Tekwe CD, Zhang M, Carroll RJ, et al. (2022) Estimation of sparse functional quantile regression with measurement error: a SIMEX approach. Biostatistics (Oxford, England) |
| Vorland CJ, Brown AW, Dawson JA, et al. (2021) Errors in the implementation, analysis, and reporting of randomization within obesity and nutrition research: a guide to their avoidance. International Journal of Obesity (2005) |
| Ejima K, Zoh R, Tekwe C, et al. (2020) What Proportion of Planned Missing Data Is Allowed for Unbiased Estimates of the Association Between Energy Intake and Body Weight Using Multiple Imputation? Current Developments in Nutrition. 4: 1167-1167 |