Multi-state modelling

Multi-state models have wide application particularly in event history analysis. This blog gives brief descriptions and reviews of new papers in the field.

Saturday, 30 March 2013

Simulation Based Confidence Intervals for Functions with Complicated Derivatives

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Micha Mandel has a new paper in the American Statistician. This concerns the simulation based Delta method approach to obtaining asymptotic...
Tuesday, 5 February 2013

The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed models

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Geert Verbeke and Geert Molenberghs have a new paper in Biostatistics. The paper proposes the use of the gradient function (or equivalently...
Wednesday, 9 January 2013

Book Review of: Competing Risks and Multistate Models with R.

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Ross Maller has written a book review of Beyersmann, Schumacher and Allignol's recent Springer book on Competing Risks and Multistate ...
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Friday, 23 November 2012

Ties between event times and jump times in the Cox model

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Xin, Horrocks and Darlington have a new paper in Statistics in Medicine. This considers approaches for dealing with ties in Cox proportiona...
Sunday, 28 October 2012

Survival analysis with time varying covariates measured at random times by design

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Stephen Rathbun, Xiao Song, Benjamin Neustiftler and Saul Shiffman have a new paper in Applied Statistics (JRSS C). This considers estimati...
Friday, 26 October 2012

Estimating parametric semi-Markov models from panel data using phase-type approximations

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Andrew Titman has a new paper in Statistics and Computing. This extends previous work on fitting semi-Markov models to panel data using ph...

Constrained parametric model for simultaneous inference of two cumulative incidence functions

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Haiwen Shi, Yu Cheng and Jong-Hyeon Jeong have a new paper in Biometrical Journal. This paper is somewhat similar in aims to the pre-print ...
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