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of 77
pro vyhledávání: '"Scott Pardo"'
Autor:
Manuel Eichenlaub, Stefan Pleus, Rimma Shaginian, James Richardson, Scott Pardo, Andreas Stuhr, Guido Freckmann
Publikováno v:
J Diabetes Sci Technol
Background: The accuracy of blood glucose monitoring systems (BGMS) is crucial for the safe and effective management of diabetes mellitus. Despite standardization of accuracy assessment procedures and requirements, various studies have shown that the
Publikováno v:
Current Medical Research and Opinion. 36:757-764
Objective: To perform evaluations of the CONTOUR PLUS LINK 2.4 blood glucose monitoring system (BGMS) assessed according to ISO 15197:2013 criteria.Methods: Clinical trial registered at ClinicalTri...
Publikováno v:
Therapeutic Delivery. 10:793-799
Aim: Inaccurate blood glucose monitoring system (BGMS) results may lead to insulin dosing errors and adverse clinical outcomes. Results & methodology: This post-hoc analysis used a model to estimate the bolus insulin dose error associated with each o
Publikováno v:
Diabetes. 69
Since 2016 more than 600,000 people have been utilizing the CONTOUR®DIABETES app (CDA) in combination with connected CONTOUR® Blood Glucose Monitoring Systems (BGMSs) worldwide. The aim of this analysis was to assess demographic data of CDA users f
Publikováno v:
Current medical research and opinion. 36(5)
Autor:
Scott Pardo
Publikováno v:
Statistical Analysis of Empirical Data ISBN: 9783030433277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b23ff12e20dd6f3681a92b120aa9243
https://doi.org/10.1007/978-3-030-43328-4_1
https://doi.org/10.1007/978-3-030-43328-4_1
Autor:
Scott Pardo
Publikováno v:
Statistical Analysis of Empirical Data ISBN: 9783030433277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89ac819055ab8e39105de6bdf56ffb9f
https://doi.org/10.1007/978-3-030-43328-4_7
https://doi.org/10.1007/978-3-030-43328-4_7
Autor:
Scott Pardo
Publikováno v:
Statistical Analysis of Empirical Data ISBN: 9783030433277
Acceptance sampling is the application of hypothesis testing to the decision problem of either accepting a lot, or batch of units, or the process producing those units as “acceptable,” or “rejecting” it as “unacceptable.” Often the null h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4aa8381b294fd65a2a1f031a7118b77
https://doi.org/10.1007/978-3-030-43328-4_13
https://doi.org/10.1007/978-3-030-43328-4_13
Autor:
Scott Pardo
Publikováno v:
Statistical Analysis of Empirical Data ISBN: 9783030433277
There are situations where many potential explanatory variables can be measured, but there is no way to know which of those are actually most helpful in predicting the response. Many methods may be employed to either narrow the field or provide a pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34189318fce1e9db043e72ebc760621f
https://doi.org/10.1007/978-3-030-43328-4_11
https://doi.org/10.1007/978-3-030-43328-4_11
Autor:
Scott Pardo
Publikováno v:
Statistical Analysis of Empirical Data ISBN: 9783030433277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90ed507307fbb1fa1c3caac94fa4b221
https://doi.org/10.1007/978-3-030-43328-4_12
https://doi.org/10.1007/978-3-030-43328-4_12