![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Variable Selection for High-dimensional Cox Model with Error Rate Control
Simultaneously finding active predictors and controlling the false discovery rate (FDR) for high-dimensional survival data is an important but challenging statistical problem. In this paper, the authors propos...
-
Article
Privacy-preserving and homogeneity-pursuit integrative analysis for high-dimensional censored data
In the analysis of data with a censored survival outcome and high-dimensional covariates, when a single data source has a limited sample size/power, integrative analysis of data from multiple sources can effec...
-
Article
High dimensional controlled variable selection with model-X knockoffs in the AFT model
Interpretability and stability are two important characteristics required for the application of high dimensional data in statistics. Although the former has been favored by many existing forecasting methods t...
-
Article
Model aggregation for doubly divided data with large size and large dimension
Massive data are often featured with high dimensionality as well as large sample size, which typically cannot be stored in a single machine and thus make both analysis and prediction challenging. We propose a ...
-
Article
Preparation and Thermoelectric Properties of Type-VIII Single-Crystalline SmxBa8−xGa16Sn30 Clathrate
In this study, based on the stoichiometric ratio of Sm: Ba: Ga: Sn = x: 8 − x: 16: 50 (x = 0, 0.25, 0.5, 0.75, 1, 1.5, 2), Sm-doped type-VIII single-crystalline clathrate SmxBa8−xGa16Sn30 thermoelectric material ...
-
Article
Electrical performance enhancement by resonant states in PbSe single-crystal growth via Bi-flux method
This paper reports the electrical transmission properties of single-crystal PbSe samples prepared via Bi-flux method based on a stoichiometric ratio of Pb:Se:Bi = 1:1: x (x = 2.5, 3, 3.5, 4). Results show that al...
-
Article
Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data
Interval-censored data often arise naturally in medical, biological, and demographical studies. As a matter of routine, the Cox proportional hazards regression is employed to fit such censored data. The relate...