Jingkersey

Jingkersey's Stars

• davidrosenberg/mlcourse

  Machine learning course materials.

  Language:Jupyter Notebook566267

• apoorvalal/ding_causalInference_python

  python implementation of Peng Ding's "First Course in Causal Inference"

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• ICI3D/RTutorials

  ICI3D R tutorials

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• jhudsl/intro_to_r

  A 2-week introduction to R programming course, with a focus on public health datasets

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• jamesjiadazhan/dietaryindex

  R Package for Calculating Healthy Eating Index-2020 (HEI2020), Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension (DASH), Mediterranean Diet (MED), Dietary Inflammation Index (DII), and Planetary Health Diet Index from the EAT-Lancet Commission (PHDI) for the NHANES, ASA24, DHQ, and other dietary assessments

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• JB-Statistical-Consulting/biostatistics

  Biostatistics resources : reading list, RMarkdown notebooks, and more!

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• Jingkersey/spatial_wave_subepidemic_framework

  A Matlab toolbox for fitting and forecasting epidemic trajectories using the spatial wave sub-epidemic framework

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• CausalInference/CAUSALab_Papers

  Software used for papers published by CAUSALab members

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• parisots/population-gcn

  Graph CNNs for population graphs

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• jhs-hwg/cardioStatsUSA

  R Shiny application for exploring 20 years of blood pressure data from NHANES

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• cran/incidental

  :exclamation: This is a read-only mirror of the CRAN R package repository. incidental — Implements Empirical Bayes Incidence Curves

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• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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• ismayc/thesisdown

  An updated R Markdown thesis template using the bookdown package

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• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

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• MGH-MPEC/CEACOV

  COVID-19 micro-simulation model for estimating cost effectiveness of clinical and non-clinical interventions

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• nrohani/MolecularSubtypes

  Classifying Breast Cancer Molecular Subtypes

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• sammo3182/drhur

  package for the workshops of "Learning R with Dr. Hu"

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• JustinaXie/MAJAR

  An R package to assess biomarker replicability

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• adeveloperdiary/HiddenMarkovModel

  Code for the Hidden Markov Model Tutorial Series

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• PMassicotte/gtrendsR

  R functions to perform and display Google Trends queries

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• wviechtb/workshop_2022_ma_esmarconf

  Meta-Analysis with R Workshop

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• wviechtb/meta_analysis_books

  R code for meta-analysis books

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• MathiasHarrer/Doing-Meta-Analysis-in-R

  [Read-Only] All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"

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• dan11mcguire/mamba

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• gerdm/prml

  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

  Language:Jupyter Notebook2.1k483

• ty4z2008/Qix

  Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

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• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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• asadoughi/stat-learning

  Notes and exercise attempts for "An Introduction to Statistical Learning"

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• kpzoo/EpiFilter

  Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches

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• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

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