피플 애널리틱스 스터디
1
소개
1.1
스터디 정보
1.2
Schedule
1.3
스터디멤버
1.4
교재 및 리소스
2
Week1 Chapter1, Chapter2
2.1
서머리 및 자료
2.2
스터디 현장
3
Week2 Chapter3, Chapter4
3.1
서머리 및 자료
3.1.1
Chapter 3
3.1.2
Standard errors, the t-distribution and confidence intervals
3.1.3
Hypothesis testing
3.1.4
Testing for a non-zero correlation between two variables (t-test for correlation)
3.1.5
Chapter 4
3.1.6
Managing inputs in linear regression
3.1.7
Extending multiple linear regression
3.2
스터디 현장
4
Week3 Chapter5
4.1
Chapter5: Binomial Logistic Regression for Binary Outcomes
4.1.1
서머리 및 자료
4.1.2
토론
4.1.3
스터디 현장
5
Week4 Chapter6
5.1
Chapter6: Multinomial Logistric Regression for Nominal Category Outcomes
5.1.1
서머리 및 자료
5.1.2
토론
5.1.3
스터디 현장
5.1.4
참고1 (R기반 제한적 종속변수 대상 회귀모형 (2019, 백영민))
5.1.5
참고2
6
Week5 Chapter7
6.1
Chapter7: Proportional Odds Logistic Regression for Ordered Category Outcomes
7
Week6 Chapter8
7.1
Chapter8: Modeling Explicit and Latent Hierarchy in Data
8
Week7 Chapter9
8.1
Chapter9: Survival Analysis for Modeling Singular Events Over Time
9
Week8 Chapter10
9.1
Chapter10: Alternative Technical Approaches in R and Python
10
Week9 Chapter11
10.1
Chapter11: Power Analysis to Estimate Required Sample Sizes for Modeling
References
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피플 애널리틱스 스터디
Session 10
Week9 Chapter11
10.1
Chapter11: Power Analysis to Estimate Required Sample Sizes for Modeling