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Estimating the Extent of Tracking in Interval-Censored Chain-Of-Events Data

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  • Glen A. Satten

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  • Glen A. Satten, 1999. "Estimating the Extent of Tracking in Interval-Censored Chain-Of-Events Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1228-1231, December.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:4:p:1228-1231
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.01228.x
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    References listed on IDEAS

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    1. Glen A. Satten & Maya R. Sternberg, 1999. "Fitting Semi-Markov Models to Interval-Censored Data with Unknown Initiation Times," Biometrics, The International Biometric Society, vol. 55(2), pages 507-513, June.
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    Cited by:

    1. Enrico Fabrizi, 2009. "The Determinants of Labour Market Transitions," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(2), pages 233-265, July.
    2. Richard J. Cook & Grace Y. Yi & Ker-Ai Lee & Dafna D. Gladman, 2004. "A Conditional Markov Model for Clustered Progressive Multistate Processes under Incomplete Observation," Biometrics, The International Biometric Society, vol. 60(2), pages 436-443, June.
    3. Jacobo de Uña-Álvarez & Luís Meira-Machado, 2015. "Nonparametric estimation of transition probabilities in the non-Markov illness-death model: A comparative study," Biometrics, The International Biometric Society, vol. 71(2), pages 364-375, June.
    4. Rinku Sutradhar & Richard J. Cook, 2008. "Analysis of interval‐censored data from clustered multistate processes: application to joint damage in psoriatic arthritis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(5), pages 553-566, December.

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