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The Volunteers finished in 10 minutes 54.65 seconds, the ninth-fastest time in event history.
We approach this from an event history perspective.
To analyze the data, the technique of event history analysis is applied.
The AE event history curves can be taken as representative of each GSS connector type.
Therefore, this paper empirically investigates intermediaries using an event history approach.
Event history models can be used to analyze the dynamics of time-stamped network data.
A discrete-time event history model can easily incorporate a multilevel design and time-varying covariates.
New statistical methods such as event history analysis should be considered.
We analyzed data on re-arrests using nonparametric and event history analytic methods.
This paper adapts the discrete-time event history model to social network data.
Therefore, event history analysis has gained importance near regression methods and statistical analysis.
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