├── .github └── ISSUE_TEMPLATE │ └── 이슈-템플릿.md ├── Materials ├── Week01_OT.pdf ├── Week02_Causal_inference_overview.pdf ├── Week03_Causal_inference_seiminar.pdf ├── Week04_05_RCT_experiment_platform.pdf ├── Week06_Graphical_causal_model.pdf ├── Week07_Propensity_score.pdf ├── Week08_이질적_처치효과와_메타러너.pdf ├── Week09_DID.pdf ├── Week10_Synthetic.pdf ├── Week11_Switchback.pdf ├── Week12_불응과도구변수.pdf ├── Week13_Causal Discovery with Industrial Case_v2.pdf └── Week14_RDD.pdf ├── README.md └── src ├── industry-applications.md └── papers.md /.github/ISSUE_TEMPLATE/이슈-템플릿.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: 이슈 템플릿 3 | about: Suggest an idea for this project 4 | title: '' 5 | labels: '' 6 | assignees: fenzhantw 7 | 8 | --- 9 | 10 | **토론 주제 또는 질문** 11 | 여기에 토론하거나 질문하고자 하는 주제에 대해 명확하고 간결하게 설명해주세요. 12 | 13 | **상세 내용** 14 | - 주제에 대한 상세한 배경이나 설명을 제공해주세요. 15 | 16 | **참고 자료 또는 링크** 17 | 토론이나 질문과 관련된 참고 자료나 유용한 링크가 있다면 여기에 추가해주세요. 18 | 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-------------------------------------------------------------------------------- 1 | # 인과추론 팀: 인과추론과 실무 프로젝트 2 | 3 | 가짜연구소 <인과추론과 실무> 프로젝트입니다. 이 프로젝트는 현업에서 상황에 맞는 인과추론 방법을 적용하기 위해 실무 사례를 바탕으로 인과추론의 표준 방법론을 템플릿화하고자 합니다. 4 | 5 | ## 프로젝트 일정 6 | 7 | | 순서 | 주제 | 자료 | 완료일 | 작성자 | 8 | | ------- | ------------------------- | ---- | ------ | -------------------------------------- | 9 | | Week 1 | 인과추론 실무 프로젝트 OT | [링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week01_OT.pdf) | 2024.05.09 | [김성수](https://github.com/fenzhantw) | 10 | | Week 2 | 인과추론 Overview | [링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week02_Causal_inference_overview.pdf) | 2024.05.16 | [김성수](https://github.com/fenzhantw) | 11 | | Week 3 | 인과추론 세미나: 인과추론으로 네트워킹하기 |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week03_Causal_inference_seiminar.pdf) |2024.05.25 |[김성수](https://github.com/fenzhantw) | 12 | | Week 4 | 인과추론 RCT와 실험플랫폼 Part 1 |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week04_05_RCT_experiment_platform.pdf) |2024.05.28 |[김성수](https://github.com/fenzhantw) | 13 | | Week 5 | 인과추론 RCT와 실험플랫폼 Part 2 |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week04_05_RCT_experiment_platform.pdf) |2024.06.04 |[김성수](https://github.com/fenzhantw) | 14 | | Week 6 | 인과 그래프 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week06_Graphical_causal_model.pdf) |2024.06.11 |[심소현](https://github.com/sim-so) | 15 | | Week 7 | 성향 점수 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week07_Propensity_score.pdf) |2024.06.18 |[손지우](github.com/bungaedm) | 16 | | Week 8 | 이질적 처치효과와 메타러너 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week08_%EC%9D%B4%EC%A7%88%EC%A0%81_%EC%B2%98%EC%B9%98%ED%9A%A8%EA%B3%BC%EC%99%80_%EB%A9%94%ED%83%80%EB%9F%AC%EB%84%88.pdf) |2024.06.25 |[이은경](https://github.com/eun-kyoung113) | 17 | | Week 9 | 이중차분법 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week09_DID.pdf) |2024.07.09 |[김지연](https://github.com/jiyeon0822) | 18 | | Week 10 | 통제집단 합성법 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week10_Synthetic.pdf) |2024.07.16 |[손지영](https://github.com/soye-jy) | 19 | | Week 11 | 스위치백 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week11_Switchback.pdf) |2024.07.23 |[최지환](https://github.com/markjihwan) | 20 | | Week 12 | 불응과 도구변수 with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week12_%EB%B6%88%EC%9D%91%EA%B3%BC%EB%8F%84%EA%B5%AC%EB%B3%80%EC%88%98.pdf) |2024.07.30 |[유도영](https://github.com/nachoryu) | 21 | | Week 13 | Causal Discovery with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week13_Causal%20Discovery%20with%20Industrial%20Case_v2.pdf) |2024.08.06 |[박수영](https://github.com/euphoria0-0) | 22 | | Week 14 | RDD with Industry Case |[링크](https://github.com/CausalInferenceLab/causal-inference-practice/blob/main/Materials/Week14_RDD.pdf) |2024.08.13 |[손영주](https://github.com/nibblepebble) | 23 | 24 | 25 | - [가짜연구소 인과추론팀 블로그](https://causalinferencelab.github.io/) 26 | 27 | - [가짜연구소 블로그](https://pseudolab.github.io/) 28 | 29 | Repo의 [이슈 페이지](https://github.com/CausalInferenceLab/causal-inference-practice/issues)를 지속적으로 모니터링하고 있습니다. 30 | 버그, 질문, 토론 내용을 정리할 예정입니다. 31 | 32 | ## Table of Contents 33 | 34 | - 🔬 [발표 자료](https://github.com/CausalInferenceLab/causal-inference-practice/tree/main/Materials) 35 | - 🎓 [논문 자료](https://github.com/CausalInferenceLab/causal-inference-practice/tree/main/src/papers.md) 36 | - 🏭 [실무 자료](https://github.com/CausalInferenceLab/causal-inference-practice/tree/main/src/industry-applications.md) 37 | - 💬 [토론 및 질문](https://github.com/CausalInferenceLab/causal-inference-practice/issues) 38 | 39 | ## Authors 40 | 41 | 가짜 연구소 <인과추론과 실무> 프로젝트 참여자: 42 | 43 | - [김성수](https://github.com/fenzhantw) 44 | - [김지연](https://github.com/jiyeon0822) 45 | - [박수영](https://github.com/euphoria0-0) 46 | - [손영주](https://github.com/nibblepebble) 47 | - [손지영](https://github.com/soye-jy) 48 | - [손지우](https://github.com/bungaedm) 49 | - [심소현](https://github.com/sim-so) 50 | - [유도영](https://github.com/nachoryu) 51 | - [이은경](https://github.com/eun-kyoung113) 52 | - [최지환](https://github.com/markjihwan) 53 | 54 | 55 | ## Join the PseudoLab community 56 | 57 | - [가짜연구소 노션](https://pseudo-lab.com/chanrankim/Pseudo-Lab-c42db6652c1b45c3ba4bfe157c70cf09) 58 | -------------------------------------------------------------------------------- /src/industry-applications.md: -------------------------------------------------------------------------------- 1 | # Causal Inference Applications in the Industry 2 | 3 | The following is a list of applications of causal inference in the industry, sorted by topic and date. -------------------------------------------------------------------------------- /src/papers.md: -------------------------------------------------------------------------------- 1 | # Causal Inference Academic Research 2 | 3 | 인과추론과 실험의 학술 연구 논문 4 | 5 | # A/B Test 6 | 7 | 1. Kohavi, Ron, Randal M. Henne, and Dan Sommerfield. "Practical guide to controlled experiments on the web: listen to your customers not to the hippo." Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. 2007. 8 | 9 | 2. Kohavi, Ron, et al. "Controlled experiments on the web: survey and practical guide." Data mining and knowledge discovery 18 (2009): 140-181. 10 | 11 | 3. Kohavi, Ron, et al. "Trustworthy online controlled experiments: Five puzzling outcomes explained." Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. 2012. 12 | 13 | 4. Kohavi, Ron, and Roger Longbotham. "Online controlled experiments and A/B tests." Encyclopedia of machine learning and data mining (2015): 1-11. 14 | 15 | 5. Gupta, Somit, et al. "The anatomy of a large-scale experimentation platform." 2018 IEEE International Conference on Software Architecture (ICSA). IEEE, 2018. 16 | 17 | 5. Gupta, Somit, et al. "Top challenges from the first practical online controlled experiments summit." ACM SIGKDD Explorations Newsletter 21.1 (2019): 20-35. 18 | 19 | 6. Kohavi, Ron, Alex Deng, and Lukas Vermeer. "A/B testing intuition busters: Common misunderstandings in online controlled experiments." Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022. 20 | 21 | 7. Fabijan, Aleksander, et al. "A/B Integrations: 7 Lessons Learned from Enabling A/B testing as a Product Feature." 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). IEEE, 2023. 22 | 23 | 8. Larsen, N., Stallrich, J., Sengupta, S., Deng, A., Kohavi, R., & Stevens, N. T. (2023). Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology. The American Statistician, 78(2), 135–149. https://doi.org/10.1080/00031305.2023.2257237 24 | --------------------------------------------------------------------------------