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Estimands depending on these distributions, e.g. the complier average causal effect, the complier effect on survival beyond time t and the complier quantile effect, are then considered. Maximum likelihood is used to estimate the parameters of the transformation models, using a specially designed expectation\u2013maximization algorithm to overcome the computational difficulties that are created by the mixture structure of the problem and the infinite dimensional parameter in the transformation models. The estimators are shown to be consistent, asymptotically normal and semiparametrically efficient. Inferential procedures for the causal parameters are developed. A simulation study is conducted to evaluate the finite sample performance of the estimated causal parameters. We also apply our methodology to a randomized study conducted by the Health Insurance Plan of Greater New York to assess the reduction in breast cancer mortality due to screening.<\/jats:p>","DOI":"10.1111\/rssb.12072","type":"journal-article","created":{"date-parts":[[2014,5,30]],"date-time":"2014-05-30T05:26:36Z","timestamp":1401427596000},"page":"397-415","source":"Crossref","is-referenced-by-count":23,"title":["Semiparametric Transformation Models for Causal Inference in Time-to-Event Studies with All-or-Nothing Compliance"],"prefix":"10.1093","volume":"77","author":[{"given":"Wen","family":"Yu","sequence":"first","affiliation":[{"name":"Fudan University , Shanghai , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kani","family":"Chen","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology \u00a0 Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael E.","family":"Sobel","sequence":"additional","affiliation":[{"name":"Columbia University , New York , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiliang","family":"Ying","sequence":"additional","affiliation":[{"name":"Columbia University , New York , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2014,5,30]]},"reference":[{"key":"2023021801091484100_rssb12072-cit-0001","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1080\/01621459.1996.10476902","article-title":"Identification of causal effects using instrumental variables","volume":"91","author":"Angrist","year":"1996","journal-title":"J. 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