Measuring population health: Validity of metrics and patterns of inequality

Di Long

Measuring population health: Validity of metrics and patterns of inequality

Public Health

Research output: Types of Thesis › Doctoral Thesis › Internal

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Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Polinder, Suzanne, Supervisor Haagsma, Juanita, Co-supervisor
Award date	18 Oct 2023
Place of Publication	Rotterdam
Print ISBNs	978-94-6469-574-8
Publication status	Published - 18 Oct 2023

Bibliographical note

Financial support for printing this thesis was provided by: the department of Public Health, Erasmus MC, Rotterdam, and the Erasmus University Rotterdam.

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final dissertation Long, DiFinal published version, 22.2 MB

Cite this

@phdthesis{3f4e7cd314514e779d003f8b6c265fe6,

title = "Measuring population health: Validity of metrics and patterns of inequality",

author = "Di Long",

note = "Financial support for printing this thesis was provided by: the department of Public Health, Erasmus MC, Rotterdam, and the Erasmus University Rotterdam.",

year = "2023",

month = oct,

day = "18",

language = "English",

isbn = "978-94-6469-574-8",

school = "Erasmus University Rotterdam",

}

Measuring population health: Validity of metrics and patterns of inequality

Bibliographical note

Access to Document

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Cite this