Prostate cancer: net survival and cause-specific survival rates after multiple imputation.
BMC Med Res Methodol
; 15: 54, 2015 Jul 28.
Article
em En
| MEDLINE
| ID: mdl-26216355
ABSTRACT
BACKGROUND:
Estimations of survival rates are diverse and the choice of the appropriate method depends on the context. Given the increasing interest in multiple imputation methods, we explored the interest of a multiple imputation approach in the estimation of cause-specific survival, when a subset of causes of death was observed.METHODS:
By using European Randomized Study of Screening for Prostate Cancer (ERSPC), 20 multiply imputed datasets were created and analyzed with a Multivariate Imputation by Chained Equation (MICE) algorithm. Then, cause-specific survival was estimated on each dataset with twomethods:
Kaplan-Meier and competing risks. The two pooled cause-specific survival and confidence intervals were obtained using Rubin's rules after complementary log-log transformation. Net survival was estimated using Pohar-Perme's estimator and was compared to pooled cause-specific survival. Finally, a sensitivity analysis was performed to test the robustness of our constructed multiple imputation model.RESULTS:
Cause-specific survival performed better than net survival, since this latter exceeded 100 % for almost the first 2 years of follow-up and after 9 years whereas the cause-specific survival decreased slowly and than stabilized at around 94 % at 9 years. Sensibility study results were satisfactory.CONCLUSIONS:
On our basis of prostate cancer data, the results obtained by cause-specific survival after multiple imputation appeared to be better and more realistic than those obtained using net survival.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Próstata
Tipo de estudo:
Clinical_trials
/
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Animals
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Humans
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Male
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article