A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
一般有偏抽样下半参数变换模型的统一方法
We propose a unified estimation method for semiparametric linear transformation models under general biased sampling schemes. The new estimator is obtained from a set of counting process-based unbiased estimating equations, developed through introducing a general weighting scheme that offsets the sampling bias. The usual asymptotic properties, including consistency and asymptotic normality, are established under suitable regularity conditions. A closed-form formula is…