Discrete-time event history analysis using segmented hazards.

Discrete-time event history analysis using segmented hazards. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

Discrete-time event history analysis using segmented hazards. Abstract Text:

Event history analysis is a means of explaining variation in the timing of events in individual life histories. This article describes methods for overcoming two difficult problems likely to be encountered in applications of event history analysis to studies of aging and human development. First, in many studies the ages of occurrence of critical life events are recorded in discrete units such as years, but the probability distributions of life events are usually specified in continuous-time form. We show how to estimate models for discrete-time data based on an underlying continuous-time specification. Second, the standard distributions for life events often fail to capture the complex age-dependence seen in actual data. We show how to construct a model using segmented hazards, that is, a composite of different functions for different segments of time. To illustrate these points, we study the age of first intercourse of 11,883 subjects from the National Longitudinal Study of Youth.

Discrete-time event history analysis using segmented hazards. Publishing Authors By Initials

For similar natural sciences: time research abstracts see: natural sciences: time research

PUBMED ID PMID:

MEDLINE DATE:

Discrete-time event history analysis using segmented hazards. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Experimental aging research

VOLUME: 17

Page Numbers: 251-60

Journal Abbreviation:

ISSN: 0361-073X

DAY: 25

MONTH: 02

YEAR: 1991

Discrete-time event history analysis using segmented hazards. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 7603335

Discrete-time event history analysis using segmented hazards. Keywords Mesh Terms:

KEYWORDS: Time

MESH TERMS:

Chemical & Substance for Abstract: Discrete-time event history analysis using segmented hazards. Information

Substance Name:

Registry Number:

Grant and Affiliation Information for Discrete-time event history analysis using segmented hazards.

AFFILIATION: University of Virginia.

Country: UNITED STATES

AGENCY:

GRANT:

ACRONYM:

MEDLINETA: Exp Aging Res

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

Discrete-time event history analysis using segmented hazards Related Publications

• Discrete-time event history analysis using segmented hazards.