The Consequences of Varying Measurement Occasions in Discrete-Time Survival Analysis
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Abstract. In a discrete-time survival model the occurrence of some event is measured by the end of each time interval. In practice it is not always possible to measure all subjects at the same point in time. In this study the consequences of varying measurement occasions are investigated by means of a simulation study and the analysis of data from an empirical study. The results of the simulation study suggest that the effects of varying measurement occasions are negligible, at least for the scenarios that were covered in the simulation. The empirical example shows varying measurement occasions have minor effects on parameter estimates, standard errors, and significance levels.
2011 ◽
Vol 103
(1)
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pp. 223-237
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2008 ◽
Vol 24
(4)
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pp. 291-306
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1999 ◽
Vol 30
(3)
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pp. 805-824
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2017 ◽
Vol 25
(1)
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pp. 115-120
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A Discrete-Time Survival Analysis of the Relationship Between Truancy and the Onset of Marijuana Use
2009 ◽
Vol 70
(1)
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pp. 5-15
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