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D-optimal designs for a continuous predictor in longitudinal trials with discrete-time survival endpoints

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  • Maryam Safarkhani
  • Mirjam Moerbeek

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  • Maryam Safarkhani & Mirjam Moerbeek, 2016. "D-optimal designs for a continuous predictor in longitudinal trials with discrete-time survival endpoints," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(2), pages 146-171, May.
    • Handle: RePEc:bla:stanee:v:70:y:2016:i:2:p:146-171
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    File URL: http://hdl.handle.net/10.1111/stan.12085
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    References listed on IDEAS

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    1. Judith D. Singer & John B. Willett, 1993. "It’s About Time: Using Discrete-Time Survival Analysis to Study Duration and the Timing of Events," Journal of Educational and Behavioral Statistics, , vol. 18(2), pages 155-195, June.
    2. Lima Passos, Valéria & Tan, Frans E.S. & Berger, Martijn P.F., 2011. "Cost-efficiency considerations in the choice of a microarray platform for time course experimental designs," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 944-954, January.
    3. Joy King & Weng-Kee Wong, 2000. "Minimax D-Optimal Designs for the Logistic Model," Biometrics, The International Biometric Society, vol. 56(4), pages 1263-1267, December.
    4. Tekle, Fetene B. & Tan, Frans E.S. & Berger, Martijn P.F., 2008. "Maximin D-optimal designs for binary longitudinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5253-5262, August.
    5. Mirjam Moerbeek, 2008. "Powerful and Cost-Efficient Designs for Longitudinal Intervention Studies With Two Treatment Groups," Journal of Educational and Behavioral Statistics, , vol. 33(1), pages 41-61, March.
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    Cited by:

    1. Xiao-Dong Zhou & Yun-Juan Wang & Rong-Xian Yue, 2021. "Optimal designs for discrete-time survival models with random effects," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(2), pages 300-332, April.

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