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Stinebrickner, Todd R. - 1998

This paper suggests and implements a method for dealing with the problems which are encountered during the estimation of dynamic, discrete choice models with serially correlated unobservables. The method takes advantage of Gaussian quadrature integral approximation techniques and is based on a...

Persistent link: https://www.econbiz.de/10009447280

Understanding the Mechanism of Panel Attrition

Lemay, Michael - 2009

increases the variance of the estimates and reduces the possibility for subgroup analysis. Also, the higher the attrition, the … allow analysts to estimate dynamic behavior. However, current research on attrition in panel surveys focuses on the … characteristics of respondents at wave 1 to explain attrition in later waves, essentially ignoring the role of life events as …

Persistent link: https://www.econbiz.de/10009450893

Estimating the causal effect of income on health: evidence from post reunification East Germany

Frijters, Paul; Haisken-DeNew, John P; Shields, Michael A - 2003

on health, and we pay close attention to the issue of panel attrition, given that there might be endogenous exits from …

Persistent link: https://www.econbiz.de/10009451610

Formulating a Prediction Model of Retention Rate in the University of North Carolina System

Ukpabi, Chinasa Victor - 2005

Institutional effectiveness has become an issue in American Higher Education as governing bodies now require evidence of quality in accountability and funding issues. One measure widely used today to assess effectiveness is retention rate. In response to the above as well as to demographic...

Persistent link: https://www.econbiz.de/10009431227

A review on reliability models with covariates

Gorjian, Nima; Ma, Lin; Mittinty, Murthy; Yarlagadda, Prasad - 2009

Modern Engineering Asset Management (EAM) requires the accurate assessment of current and the prediction of future asset health condition. Suitable mathematical models that are capable of predicting Time-to-Failure (TTF) and the probability of failure in future time are essential. In traditional...

Persistent link: https://www.econbiz.de/10009437979

The role of survival analysis in financial distress prediction

Gepp, Adrian; Kumar, Kuldeep - 2008

empirical performance was poor. Overall, the results suggest that survival analysis techniques provide more information that can …

Persistent link: https://www.econbiz.de/10009441644

Bayesian Weibull Tree Models for Clinico-Genomic Prediction of Survival

Clarke, Jennifer; West, Mike - 2007

stage ovarian cancer we demonstrate that clinical and genomic data are complementary sources of information relevant to …

Persistent link: https://www.econbiz.de/10009468307

Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring

Ghosh, Debashis; Lin, D. Y. - 2003

Dependent censoring occurs in longitudinal studies of recurrent events when the censoring time depends on the potentially unobserved recurrent event times. To perform regression analysis in this setting, we propose a semiparametric joint model that formulates the marginal distributions of the...

Persistent link: https://www.econbiz.de/10009476569

Statistical Design and Survival Analysis in Cluster Randomized Trials.

Xu, Zhenzhen - 2010

Cluster randomized trials, in which social units are selected as the units ofrandomization, have been increasingly used in the past three decades to evaluatethe effects of intervention. This thesis is devoted to design and analysis of clusterrandomized trials.Regarding design, we introduce a new...

Persistent link: https://www.econbiz.de/10009476712

Statistical Methods in Credit Risk Modeling.

Zhang, Aijun - 2009

This research deals with some statistical modeling problems that are motivated by credit risk analysis. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers. In the first chapter, we provide an...

Persistent link: https://www.econbiz.de/10009476967

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