TIME-DEPENDENT FRAILTY MODEL TO GAP TIMES BETWEEN RECURRENT EVENTS WITH APPLICATION TO EPILEPSY DATA

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HOSSEINZADEH SAMANEH; FAGHIHZADEH SOGHRAT; RAHGOZAR MEHDI; HAJIZADEH EBRAHIM; HASHEMI FESHARAKI SEYED SOHRAB; GHARAKHANI MARZIEH

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Journal: Koomesh Year:2016 | Volume:17 | Issue:3 (59) Page(s): 761-771

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Title

TIME-DEPENDENT FRAILTY MODEL TO GAP TIMES BETWEEN RECURRENT EVENTS WITH APPLICATION TO EPILEPSY DATA

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Keywords

TIME-DEPENDENT FRAILTYQ1

RECURRENT EVENTQ1

GAUSSIAN QUADRATUREQ1

EPILEPSYQ2

Abstract

Introduction: In RECURRENT EVENT a specific event occur repeatedly over time for a person. The frailty models take into account this correlation and provide efficient inferences. The frailties are assumed to be constant over time that it may be insufficient. Therefore time-varying frailty models are more realistic models. The aim of this study was to fit a TIME-DEPENDENT FRAILTY model in the gap time between RECURRENT EVENTs.Materials and methods: In this study, a TIME-DEPENDENT FRAILTY model was introduced in the gap time between RECURRENT EVENTs, that was a generalization of the Wintrebert (2004) model in cluster data (center-effect). The parameters were estimated by GAUSSIAN QUADRATURE method. The model was applied to EPILEPSY data.Results: The TIME-DEPENDENT FRAILTY model fitted better in compare to shared frailty model. The observation time for IED on EEG in 56 patients (%73 male, %34 veteran status) with EPILEPSY was studied. Age and veteran status were the two risk factors in the gap time between IEDs. Variance of frailty was significant too.Conclusion: The result of TIME-DEPENDENT FRAILTY model was reliable when there were unknown time-dependent factors in medical data and make changes on times of occurring RECURRENT EVENTs. The GAUSSIAN QUADRATURE was an applied method to fit a TIME-DEPENDENT FRAILTY model. The programming for this method was comfortable; hence this method can cause time-dependent fraility models to be more practical in medical studies.

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APA: Copy

HOSSEINZADEH, SAMANEH, FAGHIHZADEH, SOGHRAT, RAHGOZAR, MEHDI, HAJIZADEH, EBRAHIM, HASHEMI FESHARAKI, SEYED SOHRAB, & GHARAKHANI, MARZIEH. (2016). TIME-DEPENDENT FRAILTY MODEL TO GAP TIMES BETWEEN RECURRENT EVENTS WITH APPLICATION TO EPILEPSY DATA. KOOMESH, 17(3 (59)), 761-771. SID. https://sid.ir/paper/36871/en

Vancouver: Copy

HOSSEINZADEH SAMANEH, FAGHIHZADEH SOGHRAT, RAHGOZAR MEHDI, HAJIZADEH EBRAHIM, HASHEMI FESHARAKI SEYED SOHRAB, GHARAKHANI MARZIEH. TIME-DEPENDENT FRAILTY MODEL TO GAP TIMES BETWEEN RECURRENT EVENTS WITH APPLICATION TO EPILEPSY DATA. KOOMESH[Internet]. 2016;17(3 (59)):761-771. Available from: https://sid.ir/paper/36871/en

IEEE: Copy

SAMANEH HOSSEINZADEH, SOGHRAT FAGHIHZADEH, MEHDI RAHGOZAR, EBRAHIM HAJIZADEH, SEYED SOHRAB HASHEMI FESHARAKI, and MARZIEH GHARAKHANI, “TIME-DEPENDENT FRAILTY MODEL TO GAP TIMES BETWEEN RECURRENT EVENTS WITH APPLICATION TO EPILEPSY DATA,” KOOMESH, vol. 17, no. 3 (59), pp. 761–771, 2016, [Online]. Available: https://sid.ir/paper/36871/en

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