6533b873fe1ef96bd12d55ee
RESEARCH PRODUCT
Bayesian longitudinal models for paediatric kidney transplant recipients
Anabel ForteHèctor PerpiñánCarmen Armerosubject
Statistics and Probabilitymedicine.medical_specialtybusiness.industryBayesian probability030232 urology & nephrologyUrologyRepeated measures designRenal functionDisease030230 surgerymedicine.diseaseRandom effects modelKidney transplant03 medical and health sciences0302 clinical medicinemedicineStatistics Probability and UncertaintybusinessKidney diseasedescription
Chronic kidney disease is a progressive loss of renal function which results in the inability of the kidneys to properly filter waste from the blood. Renal function is usually estimated by the glomerular filtration rate (eGFR), which decreases with the worsening of the disease. Bayesian longitudinal models with covariates, random effects, serial correlation and measurement error are discussed to analyse the progression of eGFR in first transplanted children taken from a study in Valencia, Spain.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-08-05 | Journal of Applied Statistics |