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Applied Longitudinal Data AnalysisModeling Change and Event Occurrence$
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Judith D. Singer and John B. Willett

Print publication date: 2003

Print ISBN-13: 9780195152968

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195152968.001.0001

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Fitting Basic Discrete-Time Hazard Models

Fitting Basic Discrete-Time Hazard Models

Chapter:
(p.357) 11 Fitting Basic Discrete-Time Hazard Models
Source:
Applied Longitudinal Data Analysis
Author(s):

Judith D. Singer

John B. Willett

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195152968.003.0011

Good data analysis involves more than using a computer package to fit a statistical model to data. To conduct a credible discrete-time survival analysis, one must: specify a suitable model for hazard and understand its assumptions; use sample data to estimate the model parameters; interpret results in terms of your research questions; evaluate model fit and test hypotheses about (and/or construct confidence intervals for) model parameters; and communicate your findings. This chapter illustrates this entire process using the “age at first intercourse” study introduced in section 10.3. This sets the stage for a subsequent discussion of how to evaluate the assumptions underpinning the model and how to extend it flexibly across many circumstances in Chapter 12.

Keywords:   statistical model, discrete-time hazard, parameter estimation, data analysis, sample data

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