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| Permutation tests for joinpoint regression with applications to cancer rates |
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| Author(s): Kim HJ, Fay MP, Feuer EJ, Midthune DN |
| Source: STATISTICS IN MEDICINE Volume: 19 Issue: 3 Pages: 335-351 Published: FEB 15 2000 |
| Times Cited: 313 References: 27 |
| Abstract: The identification of changes in the recent trend is an important issue in the analysis of cancer mortality and incidence data. We apply a joinpoint regression model to describe such continuous changes and use the grid-search method to fit the regression function with unknown joinpoints assuming constant variance and uncorrelated errors. We find the number of significant joinpoints by performing several permutation tests, each of which has a correct significance level asymptotically. Each p-value is found using Monte Carlo methods, and the overall asymptotic significance level is maintained through a Bonferroni correction. These tests are extended to the situation with non-constant variance to handle rates with Poisson variation and possibly autocorrelated errors. The performance of these tests are studied via simulations and the tests are applied to U.S. prostate cancer incidence and mortality rates. Copyright (C) 2000 John Wiley & Sons, Ltd. |
| Document Type: Article |
| Language: English |
| Reprint Address: Kim, HJ (reprint author), Syracuse Univ, Dept Math, 215 Carnegie Bldg, Syracuse, NY 13244 USA |
Addresses:
1. Syracuse Univ, Dept Math, Syracuse, NY 13244 USA
2. NCI, Bethesda, MD 20892 USA |
| Publisher: JOHN WILEY & SONS LTD, BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND |
| Subject Category: Mathematical & Computational Biology; Public, Environmental & Occupational Health; Medical Informatics; Medicine, Research & Experimental; Statistics & Probability |
| IDS Number: 278NZ |
| ISSN: 0277-6715 |
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| | | | | | | | | Record from Web of Science® | | | | | | | | | |