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Repeated Events Survival Models: The Conditional Frailty Model

Version
v0
Resource Type
Dataset : survey data
Creator
  • Box-Steffensmeier, Janet M. (Ohio State University)
  • DeBoef, Suzanna (Pennsylvania State University)
Other Title
  • Archival Version (Subtitle)
Publication Date
2007-01-15
Funding Reference
  • National Science Foundation
Language
English
Free Keywords
policy making; public policy; treatment
Description
  • Abstract

    Repeated events processes are ubiquitous across a great range of important health, medical, and public policy applications, but models for these processes have serious limitations. Alternative estimators often produce different inferences concerning treatment effects due to bias and inefficiency. We recommend a robust strategy for the estimation of effects in medical treatments, social conditions, individual behaviors, and public policy programs in repeated events survival models under three common conditions: heterogeneity across individuals, dependence across the number of events, and both heterogeneity and event dependence. We develop a new model for repeated events processes that accurately accounts for the various conditions of heterogeneity and event dependence by using a frailty term, stratification, and gap time formulation of the risk set. We examine the performance of these models and others that are commonly used in applied work using Monte Carlo simulations, and apply the findings to data on chronic granulomatous disease and cystic.
  • Table of Contents

    Datasets:

    • DS1: Dataset
Collection Mode
  • (1) There are ten data files and a readme file. These will be released as a zipped package. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.

Note
Funding insitution(s): National Science Foundation (SES-0083418).
Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 1339 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR01339.v1
Publications
  • Box-Steffensmeier, Janet M., De Boef, Suzanna. Repeated events survival models: The conditional frailty model. Statistics in Medicine.25, (20), 2006.
    • ID: 10.1002/sim.2434 (DOI)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

Box-Steffensmeier, Janet M.; DeBoef, Suzanna (2007): Repeated Events Survival Models: The Conditional Frailty Model. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR01339