Rapid Reviews with Health-Technology Assessments in Reimbursement Systems  an Examination of Ireland as a Case Study

Aileen Murphy

doi:10.5301/grhta.5000250

Rapid Reviews with Health-Technology Assessments in Reimbursement Systems an Examination of Ireland as a Case Study

Aileen Murphy

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Global and Regional Health Technology Assessment
DOIs	https://doi.org/10.5301/grhta.5000250
Publication status	Published - 2016

Keywords

Reimbursement
Health technology
Medicine
Nice
Logistic regression
Logit
Propensity score matching
Actuarial science
Family medicine
Health care
Surgery
Internal medicine
Business
Economic growth
Statistics
Economics
Mathematics
Computer science
Programming language

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5301/grhta.5000250

https://openalex.org/W2583474707Licence: CC BY-NC

Cite this

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title = "Rapid Reviews with Health-Technology Assessments in Reimbursement Systems an Examination of Ireland as a Case Study",

keywords = "Reimbursement, Health technology, Medicine, Nice, Logistic regression, Logit, Propensity score matching, Actuarial science, Family medicine, Health care, Surgery, Internal medicine, Business, Economic growth, Statistics, Economics, Mathematics, Computer science, Programming language",

author = "Aileen Murphy",

year = "2016",

doi = "10.5301/grhta.5000250",

language = "English",

journal = "Global and Regional Health Technology Assessment",

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KW - Logistic regression

KW - Logit

KW - Propensity score matching

KW - Actuarial science

KW - Family medicine

KW - Health care

KW - Surgery

KW - Internal medicine

KW - Business

KW - Economic growth

KW - Statistics

KW - Economics

KW - Mathematics

KW - Computer science

KW - Programming language

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DO - 10.5301/grhta.5000250

M3 - Article

SN - 2284-2403

JO - Global and Regional Health Technology Assessment

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