MIGUEL LUQUE
@WATZILEI
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Associate Professor of Statistics, University of Granada. Honorary Professor of Biostatistics and Epidemiology, London School of Hygiene and Tropical Medicine
Granada, Spain
Joined October 2010
Good news! .Our article is among the most downloaded papers in Statistics in Medicine during the last year. Thank you to all the academics and researchers who used it for learning or teaching and to my colleagues for their contributions and help.
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Approximate statistical tests for comparing binary classifier error rates using H2OML
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RT @icon_lshtm: Prof Bernard emphasises the importance of:. ▶️ Collaboration.▶️ Knowledge exchange .▶️ Cooperative efforts. By working tog….
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RT @HarvardCatalyst: Biostatistics Short Course: Discussion on Targeted Learning (TL) paradigm. Also on estimation algorithms & their pract….
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RT @edwardhkennedy: there are surprisingly many open problems when it comes to theory/methods in causal inference. check out this talk by S….
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RT @LarsvanderLaan3: I had a great time presenting on Efficient Plug-in (EP) Learning of Hetergeneous Treatment Effects at #ACIC. It turns….
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RT @mf_schomaker: 1/ NEW R-PACKAGE: CICI – Causal Inference for Continuous (Multiple Time Point) Interventions. This package implements the….
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RT @mark_vdlaan: Join @akamauu, Matt Veatch and I on Real World Wednesdays on October 18th at 11am EDT for a discussion on the importance o….
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RT @ajordannafa: From this week's reading list, a text that tackles the question "what if the Stan user guide was rewritten in the form of….
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RT @kat_hoffman_: new tutorial paper! 🤩 check it out if you're looking to add a general causal inference method to your toolbox. 🧰. LMTP +….
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Statistics in Medicine: Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial😀.
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RT @naturaambiental: No uses #ChatGPT para investigación académica. Crea citas falsas de artículos que ni existen. En su lugar, utiliza #C….
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