Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A SAS macro for a clustered logrank test |
| Συγγραφείς: |
Stedman, Margaret R.1,2 mstedman2@gmail.com, Gagnon, David R.3,4, Lew, Robert A.3,4, Jung, Sin-Ho5, Losina, Elena1,2,3, Brookhart, M.Alan6 |
| Πηγή: |
Computer Methods & Programs in Biomedicine. Nov2011, Vol. 104 Issue 2, p266-270. 5p. |
| Θεματικοί όροι: |
*Statistical hypothesis testing, *MAP (Computer program language), *Clinical trials, *Source code, *Data analysis, *Nonparametric statistics, *Patients |
| Περίληψη: |
Abstract: The clustered logrank test is a nonparametric method of significance testing for correlated survival data. Examples of its application include cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or a control intervention. We describe a SAS macro that implements the 2-sample clustered logrank test for data where the entire cluster is randomized to the same treatment group. We discuss the theory and applications behind this test as well as details of the SAS code. [Copyright &y& Elsevier] |
| Βάση Δεδομένων: |
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