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Graeme Hickey

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Decks

Joint modelling of longitudinal and time-to-event data: recent extensions
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430
Risk: a statistician's viewpoint
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1
880
Joint modelling of multivariate longitudinal and time-to-event data
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410
A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial
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210
Dynamic survival prediction for multivariate joint models using the R package joineRML
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670
Joint modelling of multivariate longitudinal and time-to-event data
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340
What you need to know about statistics to read a journal article
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410
Checking model assumptions with regression diagnostics
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280
Sample size determination: why, when, how?
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340
Performing repeated measures analysis
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290
To inform or confuse with tables and figures: the EJCTS experience
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310
Joint modelling of longitudinal and time-to-event data with R
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300
Joint modelling of multivariate longitudinal and time-to-event data
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380
Joint modelling of multivariate longitudinal and time-to-event data
graemeleehickey
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200
Interpreting randomized trial data: different ways of reporting differences
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220
Making forest and funnel plots
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150
Reporting your results for publication according to guidelines
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180
Statistical methods: CUSUM, VLAD, risk adjustment, funnel plot. Which one to choose?
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310

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