Fitting Basic Discrete-Time Hazard Models

Judith D. Singer and John B. Willett

in Applied Longitudinal Data Analysis

Published in print May 2003 | ISBN: 9780195152968
Published online September 2009 | e-ISBN: 9780199864980 | DOI:
Fitting Basic Discrete-Time Hazard Models

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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

Chapter.  18045 words.  Illustrated.

Subjects: Public Health and Epidemiology

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