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Articles by Bin Nan
Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach
S.Matthews and B.Nan, “Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach,” Statistics in Medicine45, no. 8-9 (2026): e70509, https://doi.org/10.1002/sim.70509. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
Pulmonary artery sarcoma with mediastinal metastasis: a case report
1 Introduction Pulmonary artery sarcoma is a rare and highly malignant tumor characterized by nonspecific clinical manifestations, often leading to misdiagnosis as pulmonary embolism. Dual-energy computed tomography (DECT), employing dual-energy acquisition and material decomposition techniques, enables the analysis of differential X-ray attenuation across various tissue types, thereby demonstrating potential advantages in the diagnosis and differential diagnosis of pulmonary artery sarcoma.
Evaluation of a dual-energy computed tomography parameter –radiomics combined model for solitary pulmonary nodules
Abstract Objective: To construct a dual-energy computed tomography (DECT) parameter–radiomics combined model based on DECT quantitative parameters and radiomic features and to evaluate its diagnostic performance in differentiating benign from malignant solitary pulmonary nodules. Materials and methods: We retrospectively collected data from inpatients who underwent contrast-enhanced thoracic DECT scans at our hospital between June 2018 and November 2024.
Atomically Isolated Cd Sites Boosting CO Electroreduction to C2+ Alcohols at Ampere‐Level Current Densities
Conflict of Interests The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description anie70931-sup-0001-SuppMat.docx10.6 MB Supporting information References 1, , , , , , , , Nat. Commun. 2025, 16, 7466, https://doi.org/10.1038/s41467-025-62785-9. 2, , , , , , , Natl. Sci. Rev. 2024, 11, nwae189, https://doi.org/10.1093/nsr/nwae189.
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models
1 Introduction Recent technological advances have allowed biomedical researchers to collect an extraordinarily large amount of genetic data from patients. Studies that seek to characterize associations between these genetic factors and medical outcomes face numerous challenges.
Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates
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Relative risk regression for current status data in case‐cohort studies
BIBLIOGRAPHY , , , & (1993). Efficient and Adaptive Estimation for Semiparametric Models, Springer, New York. (1995). Probability and Measure, 3rd ed., Wiley, New York. (1999). Convergence of Probability Measures, 2nd ed., Wiley, New York. & (2007). Weighted likelihood for semiparametric models and two-phase stratified samples, with application to Cox regression. Scandinavian Journal of Statistics, 34, 86–102. (1972). Regression models and life-tables (with discussion).
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