Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

Jaina RazbekDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaView further author information

Yan ZhangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaView further author information

Wen-Jun XiaDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaView further author information

Wan-Ting XuDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaView further author information

De-Yang LiDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaView further author information

Zhe YinDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaView further author information

Ming-Qin CaoDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, People’s Republic of ChinaCorrespondence[email protected]
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Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

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Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

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