Risk-adjusted monitoring of time to event in the presence of long-term survivors

The use of control charts for monitoring schemes in medical context should consider adjustments to incorporate the specific risk for each individual. Some authors propose the use of a risk-adjusted survival time cumulative sum (RASTCUSUM) control chart to monitor a time-to-event outcome, possibly...

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Principais autores: Oliveira, Jocelânio W., Valença, Dione Maria, Medeiros, Pledson Guedes, Marçula, Magaly
Formato: article
Idioma:pt_BR
Publicado em: Wiley Online
Assuntos:
Cure rate
Risk-adjusted CUSUM
Statistical process control
Survival analysis
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/30195
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spelling ri-123456789-301952022-05-20T18:13:20Z Risk-adjusted monitoring of time to event in the presence of long-term survivors Oliveira, Jocelânio W. Valença, Dione Maria Medeiros, Pledson Guedes Marçula, Magaly Cure rate Risk-adjusted CUSUM Statistical process control Survival analysis The use of control charts for monitoring schemes in medical context should consider adjustments to incorporate the specific risk for each individual. Some authors propose the use of a risk-adjusted survival time cumulative sum (RASTCUSUM) control chart to monitor a time-to-event outcome, possibly right censored, using conventional survival models, which do not contemplate the possibility of cure of a patient. We propose to extend this approach considering a risk-adjusted CUSUM chart, based on a cure rate model. We consider a regression model in which the covariates affect the cure fraction. The CUSUM scores are obtained for Weibull and log-logistic promotion time model to monitor a scale parameter for nonimmune individuals. A simulation study was conducted to evaluate and compare the performance of the proposed chart (RACUF CUSUM) with RAST CUSUM, based on optimal control limits and average run length in different situations.As a result,we note that the RASTCUSUM chart is inappropriate when applied to data with a cure rate, while the proposed RACUF CUSUM chart seems to have similar performance if applied to data without a cure rate. The proposed chart is illustrated with simulated data and with a real data set of patients with heart failure treated at the Heart Institute (InCor), at the University of S˜ao Paulo, Brazil. 2020-09-23T20:24:39Z 2020-09-23T20:24:39Z 2016-05-05 article OLIVEIRA, J. W.; et al . Risk-adjusted monitoring of time to event in the presence of long-term survivors. Biometrical Journal , v. 1, p. 1-20, 2016. Disponível em:<http://onlinelibrary.wiley.com/doi/10.1002/bimj.201500094/abstract;jsessionid=4A09E7D13DA241C2D1CB00D66E1E7CE9.f03t02>. Acesso em: 06 dez. 2019 DOI: 10.1002/bimj.201500094 https://repositorio.ufrn.br/jspui/handle/123456789/30195 10.1002/bimj.201500094 pt_BR Acesso Aberto Wiley Online
institution Repositório Institucional
collection RI - UFRN
language pt_BR
topic Cure rate
Risk-adjusted CUSUM
Statistical process control
Survival analysis
spellingShingle Cure rate
Risk-adjusted CUSUM
Statistical process control
Survival analysis
Oliveira, Jocelânio W.
Valença, Dione Maria
Medeiros, Pledson Guedes
Marçula, Magaly
Risk-adjusted monitoring of time to event in the presence of long-term survivors
description The use of control charts for monitoring schemes in medical context should consider adjustments to incorporate the specific risk for each individual. Some authors propose the use of a risk-adjusted survival time cumulative sum (RASTCUSUM) control chart to monitor a time-to-event outcome, possibly right censored, using conventional survival models, which do not contemplate the possibility of cure of a patient. We propose to extend this approach considering a risk-adjusted CUSUM chart, based on a cure rate model. We consider a regression model in which the covariates affect the cure fraction. The CUSUM scores are obtained for Weibull and log-logistic promotion time model to monitor a scale parameter for nonimmune individuals. A simulation study was conducted to evaluate and compare the performance of the proposed chart (RACUF CUSUM) with RAST CUSUM, based on optimal control limits and average run length in different situations.As a result,we note that the RASTCUSUM chart is inappropriate when applied to data with a cure rate, while the proposed RACUF CUSUM chart seems to have similar performance if applied to data without a cure rate. The proposed chart is illustrated with simulated data and with a real data set of patients with heart failure treated at the Heart Institute (InCor), at the University of S˜ao Paulo, Brazil.
format article
author Oliveira, Jocelânio W.
Valença, Dione Maria
Medeiros, Pledson Guedes
Marçula, Magaly
author_facet Oliveira, Jocelânio W.
Valença, Dione Maria
Medeiros, Pledson Guedes
Marçula, Magaly
author_sort Oliveira, Jocelânio W.
title Risk-adjusted monitoring of time to event in the presence of long-term survivors
title_short Risk-adjusted monitoring of time to event in the presence of long-term survivors
title_full Risk-adjusted monitoring of time to event in the presence of long-term survivors
title_fullStr Risk-adjusted monitoring of time to event in the presence of long-term survivors
title_full_unstemmed Risk-adjusted monitoring of time to event in the presence of long-term survivors
title_sort risk-adjusted monitoring of time to event in the presence of long-term survivors
publisher Wiley Online
publishDate 2020
url https://repositorio.ufrn.br/jspui/handle/123456789/30195
work_keys_str_mv AT oliveirajocelaniow riskadjustedmonitoringoftimetoeventinthepresenceoflongtermsurvivors
AT valencadionemaria riskadjustedmonitoringoftimetoeventinthepresenceoflongtermsurvivors
AT medeirospledsonguedes riskadjustedmonitoringoftimetoeventinthepresenceoflongtermsurvivors
AT marculamagaly riskadjustedmonitoringoftimetoeventinthepresenceoflongtermsurvivors
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