Prospective analysis of case-control data under general multiplicative-intercept risk models
一般乘法截距风险模型下病例对照数据的前瞻式分析
We show that, under a general multiplicative-intercept model for risk, case-control data can be analyzed by maximum likelihood as if they had arisen prospectively, up to an unidentifiable multiplicative constant which depends on the relative sampling fractions. This generalizes earlier work of Anderson (1972, 1979), by showing that not only the point estimates but also the standard errors based on the observed information matrix are correct when the prospective likelihood is…