Paul H.C. Eilers

TwoTimeScales: An R-package for Smoothing Hazards with Two Time Scales

Angela Carollo, Paul H.C. Eilers, Hein Putter, Jutta Gampe

Background: Time-to-event data with multiple time scales are observed in many epidemiological and clinical studies. While models that allow for simultaneous consideration of multiple time scales for the hazard of an event have been proposed, their use is still not wide-spread in …

TwoTimeScales: An R-package for Smoothing Hazards with Two Time Scales

Angela Carollo, Paul H.C. Eilers, Hein Putter, Jutta Gampe

Background: Time-to-event data with multiple time scales are observed in many epidemiological and clinical studies. While models that allow for simultaneous consideration of multiple time scales for the hazard of an event have been proposed, their use is still not wide-spread in …

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Analysis of Time-to-Event Data With Two Time Scales. An Application to Transitions out of Cohabitation

Angela Carollo, Hein Putter, Paul H.C. Eilers, Jutta Gampe

Models for time-to-event data are based on transition rates between states, and to define such hazards of experiencing an event, the time scale over which the process evolves needs to be identified. In many applications, however, more than one time scale might …

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Competing risks models with two time scales

Angela Carollo, Hein Putter, Paul H.C. Eilers, Jutta Gampe

Competing risks models can involve more than one time scale. A relevant example is the study of mortality after a cancer diagnosis, where time since diagnosis but also age may jointly determine the hazards of death due to different causes. Multiple time …

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Editorial: An informal look at 25 Years of Statistical Modelling papers

Vito M. R. Muggeo, Paul H.C. Eilers

Introduction Statistical Modelling, an international journal, hereafter SMij, was launched in 2001 (Edward Arnold Publishers till 2006) as the platform where to publish papers focussing on Statistical Modelling that in those years represented probably the hottest and the most challenging topic for …

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TwoTimeScales: Analysis of Event Data with Two Time Scales

Angela Carollo, Paul H.C. Eilers, Jutta Gampe

Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales and also, if covariates are available, to estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to …

Smooth Hazards With Multiple Time Scales

Angela Carollo, Paul H.C. Eilers, Hein Putter, Jutta Gampe

ABSTRACT Hazard models are the most commonly used tool to analyze time‐to‐event data. If more than one time scale is relevant for the event under study, models are required that can incorporate the dependence of a hazard along two (or more) time …

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Competing risks models with two time scales

Angela Carollo, Hein Putter, Paul H.C. Eilers, Jutta Gampe

Competing risks models can involve more than one time scale. A relevant example is the study of mortality after a cancer diagnosis, where time since diagnosis but also age may jointly determine the hazards of death due to different causes. Multiple time …

icpack: Survival Analysis of Interval-Censored Data

Hein Putter, Paul H.C. Eilers

Version 0.1.0Depends R (>= 4.1.0

Gibbs sampling for Bayesian P-splines

Oswaldo Gressani, Paul H.C. Eilers

P-splines provide a flexible setting for modeling nonlinear model components based on a discretized penalty structure with a relatively simple computational backbone. Under a Bayesian inferential framework based on Markov chain Monte Carlo, estimates of model coefficients in P-splines models are typically …

NanoString GeoMx DSP dataset from 12 primary/recurrent IDH-mutant astrocytoma samples

Levi van Hijfte, Marjolein Geurts, Wies Vallentgoed, Paul H.C. Eilers et autres

NanoString GeoMx Digital Spatial Profiler data from 12 paired tumor resections of 6 IDH-mutant astrocytoma patients. All samples had an IDH-R132H mutation. all first resections were WHO 2016 grade II or III and second resections were WHO 2016 grade IV. The NanoString …

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Derivatives of the Log of a Determinant

Paul H.C. Eilers, Martin P. Boer

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