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数据科学方向 课件&资料

100-days-of-ml-code

100-Days-Of-ML-Code中文版

100days

100 days of algorithms

adaptive-ab-testing

Cold-Start Solution to A/B Testing Using Adaptive Sample Size Modification

adoptr

Adaptive optimal two-stage designs for clinical trials made easy.

adoptr-validation-report

R markdown-based validation report for the package adoptr.

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

cond_score_binary_endpoint

Code for the research paper "Extension of a conditional performance score for sample size recalculation rules to the setting of binary endpoints"

congenial-guacamole

About SAS Analisis Works

cpdesign

R codes for using conditional power to create optimal futility stopping boundareis for phase III trials with delayed treatment effects

cppz

Conditional Power and Promising Zone

graphical-approach

Code for the paper "Graphical approaches for the control of generalised error rates", available at https://arxiv.org/abs/2004.01759

nlp-paper

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

pharmasimulation

monte carlo simulation for clinical trials

practical-python

Practical Python Programming (course by @dabeaz)

programming-sas

personal SAS code repository

pysheeet

Python Cheat Sheet

python-100-days

Python - 100天从新手到大师

r-example-predict

APOLLO is an Accurate and independently validated Prediction mOdel of Lower-grade gLiomas Overall survival

sas-macros

SAS macros for statistics and graphics

sas-promising-zone

sasclinical

SAS Clinical program

simulated-survival-data-with-predefiend-censoring-rate-

simulated survival data with predefiend censoring rate

simulated_clinical_trials

Power Estimation via Monte Carlo Simulation

ssr-conditional-score

R Code for the article "A new conditional performance score for the evaluation of adaptive group sequential designs with sample size recalculation" by Carolin Herrmann, Maximilian Pilz, Meinhard Kieser and Geraldine Rauch (doi: 10.1002/sim.8534).

ssr-smoothing-corrections

R Code for the article "Smoothing corrections for improving sample size recalculation rules in adaptive group sequential study designs" by Carolin Herrmann and Geraldine Rauch.

ssr-with-resampling

2021