most citedA sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data

68 citations · 68 across the 2 of their papers we have counts for

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2 papers

stat.ME2014

Subgroup Mixable Inference in Personalized Medicine, with an Application to Time-to-Event Outcomes

Ying Ding, Hui-Min Lin, Jason C. Hsu

Measuring treatment efficacy in mixture of subgroups from a randomized clinical trial is a fundamental problem in personalized medicine development, in deciding whether to treat th…

math.ST2012★ 68 cited

A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data

Ying Ding, Bin Nan

In many semiparametric models that are parameterized by two types of parameters---a Euclidean parameter of interest and an infinite-dimensional nuisance parameter---the two paramet…