A Bayesian growth mixture model to examine maternal hypertension and birth outcomes

 1  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-1
 2  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-2
 3  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-3
 4  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-4
 5  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-5
 6  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-6
 7  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-7
 8  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-8
 9  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-9
 10  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-10
 11  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-11
 12  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-12
 13  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-13
 14  A Bayesian growth mixture model to examine maternal hypertension and birth outcomes-14
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A Bayesian growth mixture model to examine maternal hypertension and birth outcomes에 대한 자료입니다.
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A Bayesian growth mixture model to
examine maternal hypertension and birth outcomes
Neelon B, Swamy GK, Burgette LF, Miranda ML.
■ Growth mixture model
1> Growth model
- 평균 구조를 모형에 포함시켜서 시간에 따른 변화 양상을 통계적으로 모형화
- 변화에 대한 구체적 가설이 있다면 linear, quadratic 등의 모형을,
- 가설이 없다면 계수를 free parameter로 두고 추정할 수도 있음.
■ Growth mixture model
1> Growth model
- 전통적인 growth curve model에서는 자료의 Homogeneity를 가정함
- 그러나 많은 경우에 이러한 가정은 만족되지 않고, 관찰된 자료 안에
Subgroup이 존재하는 경우가 많다.
(ex> 남자/여자, 소득수준)
- Multiple group Analysis에도 크게 두 가지 경우가 존재
- Membership known/ Membership unknown
■ Growth mixture model
2> Growth mixture model
- Membership을 아는 경우는 각각의 group에 대하여 분석하는 것과
크게 다르지 않음. 쉽게 확장이 가능.
- Membership을 모르는 경우는??
(1) Latent class growth model
(2) Growth mixture model