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MedCalc Software Ltd medcalc version 16.8
Medcalc Version 16.8, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/version+16%2E8/medcalc+9+0+1/pmc12182239-107-12-15
Average 90 stars, based on 1 article reviews
medcalc version 16.8 - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Comparison of EQ-5D-5L health state utilities using four country-specific tariffs on a breast cancer patient sample in mainland China
Article Snippet: With the exception of the Bland–Altman plot, which was drawn using MedCalc version 16.8 (MedCalc Software, Ostend, Belgium), all other statistical analyses were conducted using Stata 14.0 (StataCorp LP, College Station, TX, USA).

Article Title: Performance of urinary C-C motif chemokine ligand 14 and the renal resistive index in predicting persistent AKI
Article Snippet: All the statistical analyses were performed using SPSS 21 (IBM, Armonk, NY, USA) and MedCalc version 16.8 (MedCalc Software, Ostend, Belgium), with a two-sided p value < 0.05 considered statistically significant.

Article Title: Accuracy and reliability of the sensory test performed using the laryngopharyngeal endoscopic esthesiometer and rangefinder in patients with suspected obstructive sleep apnoea hypopnoea: protocol for a prospective double-blinded, randomised, exploratory study
Article Snippet: We will use the following software for the statistical analysis: Microsoft Excel 2013 (Microsoft Corporation, Redmond, WA, USA); MedCalc, version 16.8 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org ; 2016) and IBM-SPSS Statistics software, version 22 (Armonk, NY, USA).

Article Title: Adipose Tissue Insulin Resistance is Closely Associated with Metabolic Syndrome in Northern Chinese Populations
Article Snippet: Binary logistic regression analysis was performed to explore the relationship between Adipo-IR and MS. Receiver operating characteristic (ROC) curve analysis was used to estimate the predictive power of Adipo-IR, HOMA-IR, and HOMA-AD for MS. Statistical analysis was performed using SPSS 22.0 (SPSS Inc., Chicago, IL, USA) and MedCalc version 16.8 (MedCalc, Mariakerke, Belgium).

Article Title: Learning curves and association of pathologist’s performance with the diagnostic accuracy of linear endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA): a cohort study in a tertiary care reference centre
Article Snippet: Statistical analyses were performed using Microsoft Excel 2013 (Microsoft Corporation, Redmond, WA, USA), MedCalc, version 16.8 (MedCalc Software bvba, Ostend, Belgium), and IBM-SPSS Statistics, version 22 (Armonk, NY, USA).

Article Title: Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue
Article Snippet: All statistical analyses were performed using MedCalc version 16.8 (MedCalc Software, Ostend, Belgium).

Article Title: Learning curves and association of pathologist’s performance with the diagnostic accuracy of linear endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA): a cohort study in a tertiary care reference centre
Article Snippet: Statistical analyses were performed using Microsoft Excel 2013 (Microsoft Corporation, Redmond, WA, USA); MedCalc, version 16.8 (MedCalc Software bvba, Ostend, Belgium) and IBM-SPSS Statistics, version 22 (Armonk, NY, USA).

Article Title: Pathological prognostic factors of rectal cancer based on diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging.
Article Snippet: Objectives To explore diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI) for assessing pathological prognostic factors in patients with rectal cancer.. Materials and methods A total of 162 patients (105 males; mean age of 61.8 ± 13.1 years old) scheduled to undergo radical surgery were enrolled in this prospective study.. The pathological prognostic factors included histological differentiation, lymph node metastasis (LNM), and extramural vascular invasion (EMVI).



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