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Title: Replication data for: Reassessing Schoenfeld Residual Tests of Proportional Hazards in Political Science Event History Analyses      
dateReleased:
03-25-2015
downloadURL: http://dx.doi.org/10.7910/DVN/27682
ID:
doi:10.7910/DVN/27682
description:
An underlying assumption of proportional hazards models is that the effect of a change in a covariate on the hazard rate of event occurrence is constant over time. For scholars using the Cox model, a Schoenfeld residual-based test has become the disciplinary standard for detecting violations of this assumption. However, using this test requires researchers to make a choice about a transformation of the time scale. In practice, this choice has largely consisted of arbitrary decisions made without justification. Using replications and simulations, we demonstrate that the decision about time transformations can have profound implications for the conclusions reached. In particular, we show that researchers can make far more informed decisions by paying closer attention to the presence of outlier survival times and levels of censoring in their data. We suggest a new standard for best practices in Cox diagnostics that buttresses the current standard with in-depth exploratory data analysis.
description:
Park, Sunhee; Hendry, David, 2014, "Replication data for: Reassessing Schoenfeld Residual Tests of Proportional Hazards in Political Science Event History Analyses", http://dx.doi.org/10.7910/DVN/27682, Harvard Dataverse, V2
name:
Park, Sunhee
Hendry, David
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997