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        <identifier>oai:www.ideals.illinois.edu:2142/22378</identifier>
        <datestamp>2023-07-10</datestamp>
        <setSpec>col_2142_5131</setSpec>
        <setSpec>col_2142_14830</setSpec>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Koenker, Roger W.</dc:contributor>
          <dc:creator>Bilias, Yannis</dc:creator>
          <dc:date>2011-05-07T13:37:57Z</dc:date>
          <dc:date>2011-05-07T13:37:57Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>1995</dc:date>
          <dc:description>"Suitable methodology and an asymptotic theory for the sequential analysis of time-to-event (duration) data is developed and its application in ""Reemployment Bonus"" experiments is studied."</dc:description>
          <dc:description>First, a proportional hazards regression model with possibly censored observations, time-dependent covariates and staggered entry is assumed. Sequential analysis of the partial likelihood score process and other related statistics cannot rely on martingale theory. Instead a modern empirical process theory is used to deal with the underlying two-dimensional character of the problem. A very general treatment of the large sample theory with minimum technicalities is made developed.</dc:description>
          <dc:description>"Next, sequential testing procedures for the analysis of duration data are employed to reconsider the Pennsylvania ""Reemployment Bonus"" Demonstration. The efficiency and flexibility gained by the monitoring of large-scale experiments is illustrated. Boundaries that preserve the overall type-I error are constructed based on the asymptotic theory developed previously. Several treatments show their efficacy earlier than the termination day dictated by the fixed-sample design. Stopping the study at that time would have achieved important pecuniary savings."</dc:description>
          <dc:description>Last, techniques developed earlier are applied to test statistics arising from the analysis of right-truncated data in which both the duration and calendar time are naturally involved. Asymptotic theory for the one-sample and the regression problems is established.</dc:description>
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  Previous issue date: 1995</dc:description>
          <dc:description>Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:57:13Z
Item is restricted indefinitely.</dc:description>
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Original Data
Group with Access UIUC Users [automated]
Release Date: none
Reason: ETDs are only available to UIUC Users without author permission</dc:description>
          <dc:description>ETDs are only available to UIUC Users without author permission</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:identifier>AAI9624289</dc:identifier>
          <dc:identifier>(UMI)AAI9624289</dc:identifier>
          <dc:identifier>http://hdl.handle.net/2142/22378</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>Copyright 1995 Bilias, Yannis</dc:rights>
          <dc:subject>Statistics</dc:subject>
          <dc:subject>Economics, Labor</dc:subject>
          <dc:subject>Economics, Theory</dc:subject>
          <dc:title>"Sequential analysis of duration data with application to ""reemployment bonus"" experiments"</dc:title>
          <dc:type>text</dc:type>
          <degree>
            <department>Economics</department>
            <discipline>Economics</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
        </thesis>
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