Casecohort and nested casecontrol sampling metho-have recently been intro-xed as a means of reducing cost in large cohort studies. The asymptotic distribution theory results for relative rate estimation based on Cox type partial or pseudolikelihoods for casecohozt and nested case-control studies have been accounted for. However, many researchers use (stratified) frequency table methods for a first or primary summarization of the most important evidence on exposuredisease or dose-response relationships, i.e. the classical Mantel-Haenszel analyses, trend tes% and tests for heterogeneity of relative rates. These can be followed by exponential failure time regression methods on groupad or individual data to model relationships between several factors and response. In this paper we present the adaptations needed to use these methods with casecohort designs, illustrating their use with data from a recent casecohort study on the relationship between diet, life-style and cancer. We assume a v a y general setup allowing piecewise constant failure rates. possible recumnt events per individual, independent censoring and left truncation.
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