Yu MIAO (YuMAO3O)

YuMAO3O

Geek Repo

Company:Nagoya University

Location:Nagoya

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Yu MIAO's repositories

R_clinical_model

R语言实战临床预测模型_by A YUE

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ant-learn-pandas

pandas学习课程代码仓库

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ClinicalCodes

An online clinical codes repository to improve validity and reproducability of medical database research

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courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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data-cleaning-101

Data Cleaning Libraries with Python

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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hdps

High dimensional propensity score algorithm in R

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introduction-datascience-python-book

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

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joyful-pandas

pandas中文教程

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LSHTMlearningnote

https://wangcc.me/LSHTMlearningnote/

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MITIE

MITIE: library and tools for information extraction

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Python-for-Epidemiologists

Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

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MetaAnalysis-dmetar

Official repository for the "dmetar" R package. [Read-Only]

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mlRECIST

mlRECIST is a machine learning classification algorithm that estimates RECIST using radiology text reports for retrospective research

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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R-code-for-Ningbo-TB-project

Data analyses for the ongoing Ningbo CDCTB projects

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R_for_Data_Science

Materials for teaching R and tidyverse

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rwe_project

Final project in the real world evidence course

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rwetasks

Functions for working with real world data (RWD) to develop real world evidence (RWE)

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SAS-Clinical-Trials-Toolkit

SAS scripts for clinical trials applications including generating SDTM domains, ADaM datasets, and Define.xml files

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SAS-for-Truven

SAS syntax used to extract, clean and analysis data from Truven MarketScan Database

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stable_disease_pycode

Python 3 code for figures and statistics used for a clinical research project.

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statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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Survivaltutorials

A repository for tutorials I have linked to my website

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transportability-workshop

Transporting treatment effects from randomized trials to real-world populations, Karolinska Institutet, 16th Nov 21

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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