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Slope estimation of covariates that influence renal outcome following renal transplant adjusting for informative right censoring
| Content Provider | Scilit |
|---|---|
| Author | Jaffa, Miran A. Jaffa, Ayad A. Lipsitz, Stuart R. |
| Copyright Year | 2012 |
| Description | A new statistical model is proposed to estimate population and individual slopes that are adjusted for covariates and informative right censoring. Individual slopes are assumed to have a mean that depends on the population slope for the covariates. The number of observations for each individual is modeled as a truncated discrete distribution with mean dependent on the individual subjects' slopes. Our simulation study results indicated that the associated bias and mean squared errors for the proposed model were comparable to those associated with the model that only adjusts for informative right censoring. The proposed model was illustrated using renal transplant dataset to estimate population slopes for covariates that could impact the outcome of renal function following renal transplantation. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4343305/pdf |
| Ending Page | 642 |
| Page Count | 12 |
| Starting Page | 631 |
| ISSN | 02664763 |
| e-ISSN | 13600532 |
| DOI | 10.1080/02664763.2011.610441 |
| Journal | Journal of Applied Statistics |
| Issue Number | 3 |
| Volume Number | 39 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2012-03-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Applied Statistics Statistics and Probability Discrete Geometric Distribution Empirical Bayes Estimates Informative Right Censoring Longitudinal Data Likelihood Function Slope Estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty |
