L
Luis Prieto
Researcher at Eli Lilly and Company
Publications - 61
Citations - 9091
Luis Prieto is an academic researcher from Eli Lilly and Company. The author has contributed to research in topics: Rasch model & Population. The author has an hindex of 33, co-authored 60 publications receiving 8412 citations. Previous affiliations of Luis Prieto include Autonomous University of Barcelona.
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Journal ArticleDOI
Cross-Validation of Item Selection and Scoring for the SF-12 Health Survey in Nine Countries: Results from the IQOLA Project
Barbara Gandek,John E. Ware,Neil K. Aaronson,Giovanni Apolone,Jakob B. Bjorner,John Brazier,Monika Bullinger,Stein Kaasa,Alain Leplège,Luis Prieto,Marianne Sullivan +10 more
TL;DR: In this article, the authors compared the SF-12 and SF-36 summary measures in nine European countries (Denmark, France, Germany, Italy, Netherlands, Norway, Spain, Sweden, and the United Kingdom).
Journal Article
The Spanish version of the SF-36 Health Survey (the SF-36 health questionnaire): an instrument for measuring clinical results
TL;DR: The adaptation process of the SF-36 has concluded with an instrument apparently equivalent to the original and with an acceptable level of reliability, Nevertheless, other basic characteristics of the adapted questionnaire should be also assessed.
Journal ArticleDOI
The Factor Structure of the SF-36 Health Survey in 10 Countries: Results from the IQOLA Project
John E. Ware,Mark Kosinski,Barbara Gandek,Neil K. Aaronson,Giovanni Apolone,Per Bech,John Brazier,Monika Bullinger,Stein Kaasa,Alain Leplège,Luis Prieto,Marianne Sullivan +11 more
TL;DR: In this article, product-moment correlations among the eight SF-36 Health Survey scales were estimated for representative samples of general populations in each of 10 countries and results were compared with those published for the United States.
Journal Article
[Population Reference Values of the Spanish Version of the Health Questionnaire SF-36]
TL;DR: The norms of the Spanish version of the SF-36 Health Survey, which are very similar to the original US questionnaire both in absolute values and in the gender and age group distribution patterns, should be carefully used.
Journal ArticleDOI
The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries: results from the IQOLA Project. International Quality of Life Assessment
John E. Ware,Barbara Gandek,Mark Kosinski,Neil K. Aaronson,Giovanni Apolone,John Brazier,Monika Bullinger,Stein Kaasa,Alain Leplège,Luis Prieto,Marianne Sullivan,Kate Thunedborg +11 more
TL;DR: Standard scoring algorithms are recommended for purposes of multinational studies involving these 10 countries because of the high degree of equivalence observed within each country, using standard and country-specific algorithms.