共 189 条
- [21] Cho BC(2009)Overadjustment bias and unnecessary adjustment in epidemiologic studies Epidemiol. Camb. Mass 20 488-90
- [22] Turna HZ(2011)An introduction to propensity score methods for reducing the effects of confounding in observational studies Multivar. Behav. Res. 46 399-42
- [23] Peters S(2016)Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis Stat. Med. 35 5642-71
- [24] Adjei AA(2013)Estimating the correlation of bivariate failure times under censoring Stat. Med. 32 4781-852
- [25] Gridelli C(2019)One-step validation method for surrogate endpoints using data from multiple randomized cancer clinical trials with failure-time endpoints Stat. Med. 38 2928-56
- [26] Reck M(2016)The international epidemiology of lung cancer: Latest trends, disparities, and tumor characteristics J. Thorac. Oncol. 11 1653-2316
- [27] Kerr K(2020)Examining the use of real-world evidence in the regulatory process Clin. Pharmacol. Ther. 107 843-1273
- [28] Felip E(2019)Real-world outcomes of patients with metastatic non-small cell lung cancer treated with programmed cell death protein 1 inhibitors in the year following U.S. regulatory approval Oncologist 24 648-6
- [29] West HJ(2020)First-line pembrolizumab for non-small cell lung cancer patients with PD-L1 ≥50% in a multicenter real-life cohort: The PEMBREIZH study Cancer Med. 9 2309-1554
- [30] Nishio M(2019)Real-world evidence and clinical observations of the treatment of advanced non-small cell lung cancer with PD-1/PD-L1 inhibitors Sci. Rep. 9 4278-21