Estimation and assessment of markov multistate models with intermittent observations on individuals

Verfasser / Beitragende:
[J. Lawless, N. Nazeri Rad]
Ort, Verlag, Jahr:
2015
Enthalten in:
Lifetime Data Analysis, 21/2(2015-04-01), 160-179
Format:
Artikel (online)
ID: 605476284
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024 7 0 |a 10.1007/s10985-014-9310-z  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10985-014-9310-z 
245 0 0 |a Estimation and assessment of markov multistate models with intermittent observations on individuals  |h [Elektronische Daten]  |c [J. Lawless, N. Nazeri Rad] 
520 3 |a Multistate models provide important methods of analysis for many life history processes, and this is an area where John Klein made numerous contributions. When individuals in a study group are observed continuously so that all transitions between states, and their times, are known, estimation and model checking is fairly straightforward. However, individuals in many studies are observed intermittently, and only the states occupied at the observation times are known. We review methods of estimation and assessment for Markov models in this situation. Numerical studies that show the effects of inter-observation times are provided, and new methods for assessing fit are given. An illustration involving viral load dynamics for HIV-positive persons is presented. 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a Goodness of fit  |2 nationallicence 
690 7 |a Maximum likelihood  |2 nationallicence 
690 7 |a Panel data  |2 nationallicence 
690 7 |a Prevalence probability  |2 nationallicence 
690 7 |a Relative efficiency  |2 nationallicence 
690 7 |a Transition intensity  |2 nationallicence 
690 7 |a Transition probability  |2 nationallicence 
700 1 |a Lawless  |D J.  |u Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada  |4 aut 
700 1 |a Nazeri Rad  |D N.  |u Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada  |4 aut 
773 0 |t Lifetime Data Analysis  |d Springer US; http://www.springer-ny.com  |g 21/2(2015-04-01), 160-179  |x 1380-7870  |q 21:2<160  |1 2015  |2 21  |o 10985 
856 4 0 |u https://doi.org/10.1007/s10985-014-9310-z  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10985-014-9310-z  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lawless  |D J.  |u Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Nazeri Rad  |D N.  |u Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Lifetime Data Analysis  |d Springer US; http://www.springer-ny.com  |g 21/2(2015-04-01), 160-179  |x 1380-7870  |q 21:2<160  |1 2015  |2 21  |o 10985