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ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection. [https://arxiv.org/abs/1712.08243](https://arxiv.org/abs/1712.08243)

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ConvSCCS

ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection. https://arxiv.org/abs/1712.08243

This repository contains an example notebook containing the code corresponding to the simulation study presented in the paper. It uses the ConvSCCS implementation available in Tick v. 0.5.0 and Python 3.6. All the scripts used to run simulations used in the paper are available in the experiments_scripts folder.

The dataset used in the application on diabetic patients cannot be published due to data privacy constraints. The cohort preparation code / software is not publicly available at the moment, but it will (hopefully) be published in a near future.

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ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection. [https://arxiv.org/abs/1712.08243](https://arxiv.org/abs/1712.08243)

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