Penalized estimation of panel count data using generalized estimating equation
Author:
Affiliation:
1. School of Public Health, University of Nevada, Reno, NV, U.S.A
Publisher
Institute of Mathematical Statistics
Reference40 articles.
1. van de Geer, S. (2000). Empirical Processes in M-Estimation. Cambridge University Press, Cambridge.
2. Wood, S. N. (2017). Generalized additive models: an introduction with R. Chapman and Hall/CRC.
3. BAILEY, H. H., KIM, K., VERMA, A. K., SIELAFF, K., LARSON, P. O., SNOW, S. and et al. (2010). A randomized, double-blind, placebo-controlled phase 3 skin cancer prevention study of α-difluoromethylornithine in subjects with previous history of skin cancer.Cancer Prevention Research. 3 35–47.
4. CHENG, G., ZHANG, Y. and LU, L. (2011). Efficient algorithms for computing the non and semiparametric maximum likelihood estimates with panel count data. Journal of nonparametric statistics. 23 567–579.
5. CHENG, G., ZHOU, L. and HUANG, J. Z. (2014). Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data. Bernoulli. 20 141–163.
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