Modeling Time-Varying Effects of Covariates in Event-History Analysis Using Statistics from the Saturated Hazard Rate Model

1993 ◽  
Vol 23 ◽  
pp. 279 ◽  
Author(s):  
Kazuo Yamaguchi
Keyword(s):  
Hazard Rate ◽  
Event History Analysis ◽  
Event History ◽  
Time Varying ◽  
Rate Model ◽  
Hazard Rate Model ◽  
History Analysis

Reclassification Variation: How Policy Implementation Guides the Process of Exiting Students From English Learner Status

2017 ◽  
Vol 39 (2) ◽  
pp. 281-310 ◽  
Author(s):  
Madeline Mavrogordato ◽  
Rachel S. White
Keyword(s):  
Policy Implementation ◽  
English Learners ◽  
Hazard Rate ◽  
Event History Analysis ◽  
The State ◽  
Event History ◽  
Observation Data ◽  
English Learner ◽  
Underserved Students ◽  
History Analysis

As state and federal policymakers continue to adopt more centralized policies, it is increasingly important to understand how policies, particularly those designed to enhance education for underserved students, are implemented locally. We employ a mixed-methods sequential explanatory design to investigate the implementation of one policy, that which guides the process of reclassifying English learners (ELs) as English proficient in Texas. First, we use event history analysis to determine whether the likelihood of being reclassified differs across the state for similar ELs. Second, we utilize interview and observation data from eight schools to unpack how practitioners implement reclassification policy. We find differences in the hazard rate of reclassification across the state, which is linked to practitioners’ understanding of the policy.

Event History Analysis in Demography

1995 ◽  
Vol 49 (2) ◽  
pp. 355-357
Author(s):  
Johannes Huinink
Keyword(s):  
Event History Analysis ◽  
Event History ◽  
History Analysis

From source-oriented databases to event-history data files: a twelve-step action plan for the analysis of individual and household life histories

1998 ◽  
Vol 10 (1-3) ◽  
pp. 1-9
Author(s):  
Onno Boonstra ◽  
Maarten Panhuysen
Keyword(s):  
Life Histories ◽  
Event History Analysis ◽  
Action Plan ◽  
Event History ◽  
Flat File ◽  
Event History Data ◽  
History Analysis ◽  
Good Technique ◽  
Data Files ◽  
The Way

Population registers are recognised to be a very important source for demographic research, because it enables us to study the lifecourse of individuals as well as households. A very good technique for lifecourse analysis is event history analysis. Unfortunately, there are marked differences in the way the data are available in population registers and the way event history analysis expects them to be. The source-oriented approach of computing historical data calls for a ‘five-file structure’, whereas event history analysis only can handle fiat files. In this article, we suggest a series of twelve steps with which population register data can be transposed from a five-file structured database into a ‘flat file’ event history analysis dataset.

Gender Differences in the Link Between Marital Status and the Risk of Cognitive Impairment: Results From the Korean Longitudinal Study of Aging

2021 ◽  
pp. 009141502110241
Author(s):  
Yujin Kim
Keyword(s):  
Cognitive Impairment ◽  
Longitudinal Study ◽  
Marital Status ◽  
Event History Analysis ◽  
Population Aging ◽  
Event History ◽  
Never Married ◽  
History Analysis ◽  
Married Men ◽  
And Gender

In the context of South Korea, characterized by increasing population aging and a changing family structure, this study examined differences in the risk of cognitive impairment by marital status and investigated whether this association differs by gender. The data were derived from the 2006–2018 Korean Longitudinal Study of Aging. The sample comprised 7,568 respondents aged 45 years or older, who contributed 30,414 person-year observations. Event history analysis was used to predict the odds of cognitive impairment by marital status and gender. Relative to their married counterparts, never-married and divorced people were the most disadvantaged in terms of cognitive health. In addition, the association between marital status and cognitive impairment was much stronger for men than for women. Further, gender-stratified analyses showed that, compared with married men, never-married men had a higher risk of cognitive impairment, but there were no significant effects of marital status for women.

Railway Passengers Travel Time Research Based on Survival Analysis

2014 ◽  
Vol 962-965 ◽  
pp. 2580-2583
Author(s):  
Ya Chen Zhao ◽  
Zhen Yu Zhang ◽  
Qing Jie Zheng
Keyword(s):  
Survival Analysis ◽  
Travel Time ◽  
Significant Influence ◽  
Hazard Rate ◽  
Family Income ◽  
Proportional Hazard ◽  
Rate Model ◽  
Analysis Method ◽  
Cox Proportional Hazard ◽  
Hazard Rate Model

With the development of the economy, people have higher request for the time. Studying the choice of travel about rail passengers becomes more significant. Due to these problem above and using survival analysis method, this paper builds travel time survival model based on questionnaire and have a whole analysis of the travel time of the rail passenger. Then, it concludes that most of the rail passengers’ travel time is below five hours. At last, this paper builds COX proportional hazard rate model of travel time and study the factors about travel time. The result demonstrates that the factor about whether it is students or not, family income, whether it is travelling and the number of packages has a significant influence on the travel time.

scholarly journals Using Event History Analysis in Historical Research: With Illustrations from a Study of the Passage of Women's Protective Legislation

1998 ◽  
Vol 43 (S6) ◽  
pp. 33-55 ◽  
Author(s):  
Holly J. McCammon
Keyword(s):  
Event History Analysis ◽  
Historical Research ◽  
Event History ◽  
Industrial Workers ◽  
Social Scientists ◽  
Policy Makers ◽  
History Analysis

Historians and social scientists often investigate the conditions that influence the occurrence of particular events. For instance, a researcher might be concerned with the causes of revolutionary action in some countries or the forces that unleash racial rioting in major cities. Or perhaps the researcher wishes to examine why industrial workers decide to strike or what prompts policy-makers to pass new legislation. In each of these examples, a qualitative shift occurs, from a circumstance without racial rioting in a particular city, for instance, to one with racial rioting. Event history analysis can aid researchers in uncovering the conditions that lead to such a shift.

Sex and Experience in the Academy Award Nomination Process

2004 ◽  
Vol 95 (2) ◽  
pp. 589-592 ◽  
Author(s):  
Anne E. Lincoln
Keyword(s):  
Sex Differences ◽  
Age Differences ◽  
Event History Analysis ◽  
Event History ◽  
Male And Female ◽  
History Analysis ◽  
Academy Award ◽  
Award Nomination ◽  
Age Disparity

Research has indicated significant age differences between male and female Academy Award nominees and winners. However, this discrepancy may be associated with sex differences in actors' ages when they first begin their acting careers. The present research uses event history analysis to investigate the duration of Academy Award nominees' careers from career start (first film) to first three Academy Award nominations. Analysis suggested controlling for an actor's age at first film explains the sex-age disparity between Academy Award nominees and winners.

Sign in / Sign up

Export Citation Format

Share Document