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A linear mixed-effects model for multivariate censored data.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pan, Wei Louis, Thomas A. |
| Copyright Year | 2000 |
| Abstract | We apply a linear mixed-effects model to multivariate failure time data. Computation of the regression parameters involves the Buckley-James method in an iterated Monte Carlo expectation-maximization algorithm, wherein the Monte Carlo E-step is implemented using the Metropolis-Hastings algorithm. From simulation studies, this approach compares favorably with the marginal independence approach, especially when there is a strong within-cluster correlation. |
| Starting Page | 151 |
| Ending Page | 168 |
| Page Count | 18 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.sph.umn.edu/faculty1/wp-content/uploads/2012/11/rr98-019.pdf |
| PubMed reference number | 10783791v1 |
| Volume Number | 56 |
| Issue Number | 1 |
| Journal | Biometrics |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Censor Leucaena pulverulenta Monte Carlo Method algorithm |
| Content Type | Text |
| Resource Type | Article |