parfm: Parametric Frailty Models inR

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parfm: Parametric Frailty Models in R

Frailty models are getting more and more popular to account for overdispersion and/or clustering in survival data. When the form of the baseline hazard is somehow known in advance, the parametric estimation approach can be used advantageously. Nonetheless, there is no unified widely available software that deals with the parametric frailty model. The new parfm package remedies that lack by prov...

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Analysis of Birth Spacing Using Frailty Models

Background and objectives: Birth spacing is an important variable for identification of fertility acceleration, total fertility rate, and maternal and fetal health. Therefore, special attention has been paid to this issue by researchers in the fields of medical sciences, health, and population. In addition, proper analysis of this concept is of foremost importance. Application of classical anal...

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Frailty Models

Working papers of the Max Planck Institute for Demographic Research receive only limited review. Views or opinions expressed in working papers are attributable to the authors and do not necessarily reflect those of the Institute.

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Modeling time-to-cure from severe acute malnutrition: application of various parametric frailty models

BACKGROUND In developing countries about 3.5% of children aged 0-5 years are victims of severe acute malnutrition (SAM). Once the morbidity has developed the cure process takes variable period depending on various factors. Knowledge of time-to-cure from SAM will enable health care providers to plan resources and monitor the progress of cases with SAM. The current analysis presents modeling time...

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‎By existing censor and skewness in survival data‎, ‎some models such as weibull are used to analyzing survival data‎. ‎In addition, parametric and semiparametric models can be obtained from baseline hazard function of Cox model to fit to survival data‎. ‎However these models are popular because of their simple usage but do not consider unknown risk factors‎, ‎that's why cannot introduce the be...

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ژورنال

عنوان ژورنال: Journal of Statistical Software

سال: 2012

ISSN: 1548-7660

DOI: 10.18637/jss.v051.i11