A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies
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DOI: 10.1007/s10985-023-09593-9
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- Zhiguo Li & Peter Gilbert & Bin Nan, 2008. "Weighted Likelihood Method for Grouped Survival Data in Case–Cohort Studies with Application to HIV Vaccine Trials," Biometrics, The International Biometric Society, vol. 64(4), pages 1247-1255, December.
- S. Kim & J. Cai & W. Lu, 2013. "More efficient estimators for case-cohort studies," Biometrika, Biometrika Trust, vol. 100(3), pages 695-708.
- Tao Sun & Yi Liu & Richard J. Cook & Wei Chen & Ying Ding, 2019. "Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(3), pages 546-568, July.
- Jianwen Cai & Donglin Zeng, 2007. "Power Calculation for Case–Cohort Studies with Nonrare Events," Biometrics, The International Biometric Society, vol. 63(4), pages 1288-1295, December.
- Q. Zhou & H. Zhou & J. Cai, 2017. "Case-cohort studies with interval-censored failure time data," Biometrika, Biometrika Trust, vol. 104(1), pages 17-29.
- Qingning Zhou & Tao Hu & Jianguo Sun, 2017. "A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 664-672, April.
- Lan Kong, 2004. "Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design," Biometrika, Biometrika Trust, vol. 91(2), pages 305-319, June.
- William B. Goggins & Dianne M. Finkelstein, 2000. "A Proportional Hazards Model for Multivariate Interval-Censored Failure Time Data," Biometrics, The International Biometric Society, vol. 56(3), pages 940-943, September.
- Ma, Shuangge & Kosorok, Michael R., 2005. "Robust semiparametric M-estimation and the weighted bootstrap," Journal of Multivariate Analysis, Elsevier, vol. 96(1), pages 190-217, September.
- S. Kang & J. Cai, 2009. "Marginal hazards model for case-cohort studies with multiple disease outcomes," Biometrika, Biometrika Trust, vol. 96(4), pages 887-901.
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Keywords
Bivariate interval-censored data; Case-cohort design; Frailty; Weighted likelihood;All these keywords.
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