Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer
卵巢癌治疗观察性研究中的精细平衡最小距离匹配
In observational studies of treatment effects, matched samples have traditionally been constructed using two tools, namely close matches on one or two key covariates and close matches on the propensity score to stochastically balance large numbers of covariates. Here we propose a third tool, fine balance, obtained using the assignment algorithm in a new way. We use all three tools to construct a matched sample for an ongoing study of provider specialty in the treatment of…