Efficient estimation in additive hazards regression with current status data

By T. Martinussen, Thomas H. Scheike. 2002

90 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5abca12ad2f59bb6c2141b20c5a33383c6d5a69f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Jian Huang
2. Lei Hua
3. Ying Zhang
4. Xingqiu Zhao
5. Minggen Lu
6. Liuquan Sun
7. Jianguo Sun
8. Jon A. Wellner

In Statistics and Probability

1. Jian Huang
2. Lei Hua
3. Ying Zhang
4. Heng Lian
5. Cun-Hui Zhang
6. Nicolai Meinshausen
7. Tong Zhang
8. Minggen Lu

Citations in the corpus

• A Spline‐Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval‐Censored Data (2010, methodology): “…regression models with interval-censored data such as the partial linear regression proposed by Xue et al. (2004), the proportional odds regression studied by Huang & Rossini (1997) and Shen (1998), and the additive hazard model studied by Lin et al. (1998) and Martinussen & Scheike (2002).”