Choice of Statistical Model for Estimating Health State Utility for Economic Models:: A Case Study Using Quality of Life Data from Individuals at High Risk for Diabetes

Frauke Becker; Talitha Feenstra; Eva Pagano; Jose Leal

Choice of Statistical Model for Estimating Health State Utility for Economic Models: A Case Study Using Quality of Life Data from Individuals at High Risk for Diabetes

Frauke Becker, Talitha Feenstra, Eva Pagano, Jose Leal

Research output: Contribution to conference › Abstract › Academic

Original language	English
Publication status	Published - 2019
Event	13th International Health Economics Association (IHEA) World Congress 2019: New Heights in Health Economics - Universitat Basel, Basel, Switzerland Duration: 13-Jul-2019 → 17-Jul-2019 https://www.healtheconomics.org/page/2019Basel

Conference

Conference	13th International Health Economics Association (IHEA) World Congress 2019
Country/Territory	Switzerland
City	Basel
Period	13/07/2019 → 17/07/2019
Internet address	https://www.healtheconomics.org/page/2019Basel

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@conference{4c42494b50704e0aa93f35996ec45bdd,

title = "Choice of Statistical Model for Estimating Health State Utility for Economic Models:: A Case Study Using Quality of Life Data from Individuals at High Risk for Diabetes",

author = "Frauke Becker and Talitha Feenstra and Eva Pagano and Jose Leal",

year = "2019",

language = "English",

note = "13th International Health Economics Association (IHEA) World Congress 2019 : New Heights in Health Economics ; Conference date: 13-07-2019 Through 17-07-2019",

url = "https://www.healtheconomics.org/page/2019Basel",

}

Choice of Statistical Model for Estimating Health State Utility for Economic Models: A Case Study Using Quality of Life Data from Individuals at High Risk for Diabetes. / Becker, Frauke; Feenstra, Talitha; Pagano, Eva et al.
2019. Abstract from 13th International Health Economics Association (IHEA) World Congress 2019, Basel, Switzerland.

Research output: Contribution to conference › Abstract › Academic