 Hypothesis tests based on regression effect processHypothesis testsJohn O’Quigley ()
Chapter Chapter 11 in Survival Analysis, 2021, pp 301-350 from Springer Abstract: Abstract We revisit the standard log-rank test and several modifications of it that come under the heading of weighted log-rank tests. Taken together these provide us with an extensive array of tools for the hypothesis testing problem. Importantly, all of these tests can be readily derived from within the proportional and non-proportional hazards framework. Given our focus on the regression effect process, it is equally important to note that these tests can be based on established properties of this process under various assumptions. These properties allow us to cover a very broad range of situations. With many different tests, including goodness-of-fit tests, coming under the same heading, it makes it particularly straightforward to carry out comparative studies on the relative merits of different choices. Furthermore, we underline the intuitive value of the regression effect process since it provides us with a clear visual impression of the possible presence of effects as well as the nature of any such effects. In conjunction with formal testing, the investigator has a powerful tool to study dependencies and co-dependencies in survival data. Date: 2021 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-33439-0_11 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-33439-0_11 Access Statistics for this chapter More chapters in Springer Books from Springer |
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