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Predictors of cerebrovascular event reoccurrence in patients with depression: a retrospective cohort study.

Wa Cai | Christoph Mueller | Hitesh Shetty | Gayan Perera | Robert Stewart
BMJ open | 2020

To identify predictors of recurrent cerebrovascular morbidity in a cohort of patients with depression and a cerebrovascular disease (CBVD) history.

Pubmed ID: 31915162

Research resources used in this publication

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_17214

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This is a list of tools and resources that we have found mentioned in this publication.


GATE (tool)

RRID:SCR_002756

Model-based, open source software analysis tool for chromatin states prediction based on time-course epigenetic marks data. It uses a combinatory Finite Mixture model nested with HMM to model the time course marks data in which each single hidden markov model describes the hidden states for a region set across different time points.

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Stata (tool)

RRID:SCR_012763

A Software resource for statistical analysis and presentation of graphics.

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