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  "Title": "Privacy-Protecting Hazard Ratio Estimation in Distributed Data\nNetworks",
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  "Date": "2020-01-06",
  "Author": "Di Shu <shudi1991@gmail.com>, Sengwee Toh\n<darren_toh@harvardpilgrim.org>",
  "Maintainer": "Di Shu <shudi1991@gmail.com>",
  "Description": "An implementation of the one-step privacy-protecting\nmethod for estimating the overall and site-specific hazard\nratios using inverse probability weighted Cox models in\ndistributed data network studies, as proposed by Shu, Yoshida,\nFireman, and Toh (2019) <doi: 10.1177/0962280219869742>. This\nmethod only requires sharing of summary-level riskset tables\ninstead of individual-level data. Both the conventional inverse\nprobability weights and the stabilized weights are implemented.",
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  "NeedsCompilation": "no",
  "Packaged": {
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  "Date/Publication": "2020-01-07 16:20:02 UTC",
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      "title": "Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks",
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      "topics": [
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