Ghent University Academic Bibliography

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Standardization of free thyroxine measurements allows the adoption of a more uniform reference interval

Linde De Grande (UGent) , Katleen Van Uytfanghe (UGent) , Dries Reynders (UGent) , Barnali Das, James D. Faix, Finlay MacKenzie, Brigitte Decallonne, Akira Hishinuma, Bruno Lapauw (UGent) , Paul Taelman, et al.

(2017) CLINICAL CHEMISTRY. 63(10). p.1642-1652
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- journalArticle
- A1
- open access
Using 'big data' to describe the effect of seasonal variation in thyroid-stimulating hormone

Linde De Grande (UGent) , Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) , Ian Halsall, Jaeduk Yoshimura Noh, Koen Hens and Linda Thienpont (UGent)

(2017) CLINICAL CHEMISTRY AND LABORATORY MEDICINE. 55(2). p.e34-e36
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- journalArticle
- A1
- open access
Monitoring the stability of the standardization status of FT4 and TSH assays by use of daily outpatient medians and flagging frequencies

Linde De Grande (UGent) , Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) , Barnali Das, Finlay MacKenzie, Maria-Magdalena Patru and Linda Thienpont (UGent)

(2017) CLINICA CHIMICA ACTA. 467. p.8-14
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- journalArticle
- A1
- open access
Harmonization of serum thyroid-stimulating hormone measurements paves the way for the adoption of a more uniform reference interval

Linda Thienpont (UGent) , Katleen Van Uytfanghe (UGent) , Linde De Grande (UGent) , Dries Reynders (UGent) , Barnali Das, James D. Faix, Finlay MacKenzie, Brigitte Decallonne, Akira Hishinuma, Bruno Lapauw (UGent) , et al.

(2017) CLINICAL CHEMISTRY. 63(7). p.1248-1260
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- conference
- C3
Monitoring of the standardization and harmonization status of FT4 and TSH assays by use of patient medians

Linde De Grande (UGent) , Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) and Linda Thienpont (UGent)

(2016) AACC, 68th Annual scientific meeting, Abstracts.
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Calculation of non-commutability budgets by t-testing

Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) and Linda Thienpont (UGent)

(2015) CLINICA CHIMICA ACTA. 438. p.212-213
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- journalArticle
- A1
- open access
The Empower project : a new way of assessing and monitoring test comparability and stability

Linde De Grande (UGent) , Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) , Dietmar Stöckl and Linda Thienpont (UGent)

(2015) CLINICAL CHEMISTRY AND LABORATORY MEDICINE. 53(8). p.1197-1204
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Trueness and comparability assessment of widely used assays for 5 common enzymes and 3 electrolytes

Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) and Linda Thienpont (UGent)

(2015) CLINICA CHIMICA ACTA. 442. p.44-45
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A fresh look at the relationship between TSH and free thyroxine in cross-sectional data

Linde De Grande (UGent) , Katleen Van Uytfanghe (UGent) and Linda Thienpont (UGent)

(2015) EUROPEAN THYROID JOURNAL. 4(1). p.69-70
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Monitoring laboratory data across manufacturers and laboratories: a prerequisite to make 'Big Data' work

Kenneth Goossens (UGent) , Katleen Van Uytfanghe (UGent) , Patrick J Twomey and Linda Thienpont (UGent)

(2015) CLINICA CHIMICA ACTA. 445. p.12-18

Academic Bibliography

Standardization of free thyroxine measurements allows the adoption of a more uniform reference interval

Using 'big data' to describe the effect of seasonal variation in thyroid-stimulating hormone

Monitoring the stability of the standardization status of FT4 and TSH assays by use of daily outpatient medians and flagging frequencies

Harmonization of serum thyroid-stimulating hormone measurements paves the way for the adoption of a more uniform reference interval

Monitoring of the standardization and harmonization status of FT4 and TSH assays by use of patient medians

Calculation of non-commutability budgets by t-testing

The Empower project : a new way of assessing and monitoring test comparability and stability

Trueness and comparability assessment of widely used assays for 5 common enzymes and 3 electrolytes

A fresh look at the relationship between TSH and free thyroxine in cross-sectional data

Monitoring laboratory data across manufacturers and laboratories: a prerequisite to make 'Big Data' work

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