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Volume 24 (2024)
Volume 24, Issue 3 (In progress)
Pg 399 - 526 (November 2024)
Volume 24, Issue 2
Pg 197 - 397 (July 2024)
Volume 24, Issue 1
Pg 1 - 196 (March 2024)
Volume 23 (2023)
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Pg 1 - 94 (March 2023)
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Volume 21,
Pg 1 - 154 (September 2022)
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Volume 20,
Pg 1 - 123 (June 2022)
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Volume 19,
Pg 1 - 144 (March 2022)
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Volume 18, Issue 3
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Pg 1 - 66 (February 2013)
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Pg 1 - 71 (February 2011)
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Pg 213 - 311 (October 2010)
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Pg 107 - 212 (June 2010)
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Pg 1 - 105 (February 2010)
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Pg 77 - 169 (June 2009)
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Pg 1 - 75 (February 2009)
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JP Journal of Biostatistics
JP Journal of Biostatistics
Volume 4, Issue 3, Pages 213 - 226 (October 2010)
A CONTINUOUS-TIME MARKOV CHAIN APPROACH ANALYZING THE STAGES OF CHANGE CONSTRUCT FROM A HEALTH PROMOTION INTERVENTION
Kendra Brown Mhoon, Wenyaw Chan, Deborah J. Del Junco and Sally W. Vernon
Abstract:
The Transtheoretical Model of behavior change is often used in longitudinal research of health-related outcomes. This model includes a construct called stage of change, which is a hypothesized concept of progression for individuals trying to modify their behavior. Project HOME (Healthy Outlook on the Mammography Experience), a population-based randomized group intervention trial sought to identify factors associated with subject changes in stage, from precontemplation to contemplation and from contemplation to action. The aims of this paper are to extend Li and Chan’s Markov model approach to handle multiple covariates that include both continuous and binary variables. An empirical study was conducted to evaluate the accuracy of the estimators. The model was then applied to the Project HOME data. Specifically, we present a continuous-time Markov chain approach to examine covariates and their effect on the dynamics of the changes in stage. This model can be used by researchers to more fully describe transitions in data.
Keywords and phrases:
Markov chain, trinomial outcome data, transtheoretical model, stage of change.
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P-ISSN: 0973-5143
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