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  • Two assumptions of the prior event rate ratio approach for . . .
    This article focuses on two of the assumptions about the relationship of events over time: (1) occurrence of the outcome event does not alter the probability of receiving treatment and (2) outcome event rate in the prior period does not affect outcome event rate in the postperiod
  • Comparison of Time-to-First Event and Recurrent-Event Methods . . .
    We compared the performance of time-to-event and recurrent-event analyses across a variety of settings achieved by varying the (1) heterogeneity of patient risk, and (2) rate of treatment discontinuation after a first event, with 1000 trials simulated and analyzed for each scenario
  • Chapter 17 - Event Studies | The Effect
    The real tricky part about event studies is the back door The whole design of an event study is based around the idea that something changes over time - the event occurs, the treatment goes into effect Then we can compare before-event to after-event and get the effect of treatment
  • Accuracy of Event Rate and Effect Size Estimation in Major . . .
    The main findings of this systematic review suggest that during the design of contemporary cardiovascular trials, event rates are often overestimated but event rate estimation accuracy is associated with significant refutation of the null hypothesis
  • When Success Is Not Enough: The Symptom Base-Rate Can . . .
    That is, when the treatment reduces the symptom occurrence from 0 70 to 0 40 (i e , group Frequent), the absolute difference, or contingency, is 0 30, but the amount of reduction relative to the base-rate is 43%, i e , (0 40–0 70) 0 70 = 0 43
  • Ways of measuring rates of recurrent events - PMC
    In both observational studies and randomised clinical trials one natural and intuitive measure of occurrence is the event rate, defined as the number of events (possibly including multiple events per person) divided by the total person-years of experience
  • Modelling recurrent events: a tutorial for analysis in . . .
    In this paper we explore and illustrate several modelling techniques for analysis of recurrent time-to-event data, including conditional models for multivariate survival data (AG, PWP-TT and PWP-GT), marginal means rates models, frailty and multi-state models





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