*4th PLACE* of our most impactful articles published in @RSeriesa in 2020 according to @altmetric:
Tanner et al: doi.org/10.1111/rssa.1…
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Tanner et al: doi.org/10.1111/rssa.1…
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*CONTEXT* Dynamic prediction models provide predicted probabilities that can be updated over time as data become available. There is growing interest in the use of #machinelearning 🤖; yet, their use in the context of dynamic survival #prediction has been limited.
2/n
2/n
*AIM* Show how #landmarking can be combined with a #machinelearning ensemble to improve prediction performance
*METHOD* Use of discrete time #survivalanalysis techniques to enable the use of #machinelearning algorithms for binary outcomes
3/n
*METHOD* Use of discrete time #survivalanalysis techniques to enable the use of #machinelearning algorithms for binary outcomes
3/n
*FINDINGS* The proposed #ML approach showed similar cross‐validated predictive performance to
standard landmarking approaches but greater than joint modelling
4/n
standard landmarking approaches but greater than joint modelling
4/n
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