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data management studio software v 2.7  (SAS institute)


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    SAS institute data management studio software v 2.7
    Data Management Studio Software V 2.7, supplied by SAS institute, 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/data+management+studio+software/sas+version+9+4/pm34535302-40-18-23
    Average 90 stars, based on 1 article reviews
    data management studio software v 2.7 - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: High Intensity Interval Training in Pediatric Heart Transplant Recipients: Evaluating a Novel Telemedicine Video Game-Linked Exercise Platform (MedBIKE™)
    Article Snippet: All statistical analyses will be performed by SAS 9.4 or later (SAS Institute Inc., Cary, NC, USA).

    Article Title: Title Pending 17794
    Article Snippet: This study evaluated the effects of dry-aged beef trimmings inclusion on quality and flavor precursors of ground beef patties.. Lean and fat trim were collected from beef loins aged for 28 d using 4 different methods: wet aging (WA), dry aging (DA), dry aging in water-permeable bag (DWA), and UV-light dry aging (UDA).. Trimmings were ground and incorporated with ground fresh beef top rounds and subcutaneous fat (3 d postmortem) to make patties (80% lean and 20% fat) with different formulations: fresh beef and fat (CON), fresh beef and DA fat only (DA-FAT), and mixtures of 50% fresh lean along with 30% aged lean and 20% aged fat from different aging treatments (WA, DA, DWA, and UDA).

    Article Title: Associations of educational attainment and traditional risk factor control with cardiovascular disease
    Article Snippet: Statistical analyses were conducted using SAS 9.4 software, with a significance level of p < 0.05.

    Article Title: Serum vitamin D levels and clinical frailty in older adults from Qatar.
    Article Snippet: All analyses were conducted using SAS version 9.4 (Cary, NC) and R version 4.0.2 (The R Foundation for Statistical Computing, Vienna, Austria).

    Article Title: Human papillomavirus (HPV) related oropharyngeal cancers in Canada: A multicenter retrospective cohort study.
    Article Snippet: Data management, integration and analysis were conducted according to a detailed statistical plan, and statistical analysis was performed using SAS version 9.4.

    Article Title: Atrial Appendage Micrograft Transplantation in Conjunction With Cardiac Surgery-the AAMS2 Randomized Controlled Trial
    Article Snippet: Statistical analyses-Power analysis was carried out using SAS 9.4 TS Level 1M4 software (SAS Institute Inc., Cary, NC, USA), the POWER Procedure Wilcoxon-Mann-Whitney Test with the fixed scenario elements O'Brien-Castelloe approximation method and two-sided statistical evaluation.

    Article Title: Association between cardiac rehabilitation and LDL-levels, adherence to guideline-recommended medication and mortality rate after myocardial infarction
    Article Snippet: All statistical analyses were conducted using SAS, version 9.4 (NC, Cary, USA).

    Article Title: A Randomized Controlled Study on Continuous Monitoring of Cardiac Index Variability to Guide Patients With Perioperative Myocardial Injury to Wean From Mechanical Ventilation
    Article Snippet: Statistical analysis plan: * Use SAS 10.0 statistical software for statistical analysis.



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    Continuous glucose monitoring systems. MARD, mean absolute relative difference; EGA, error grid analysis; CE, Conformité Européenne; DG4P,  Dexcom  G4 TM PLATINUM; FN, FreeStyle Navigator ® .

    Journal: Diagnostics

    Article Title: Continuous Glucose Monitoring Systems: A Review

    doi: 10.3390/diagnostics3040385

    Figure Lengend Snippet: Continuous glucose monitoring systems. MARD, mean absolute relative difference; EGA, error grid analysis; CE, Conformité Européenne; DG4P, Dexcom G4 TM PLATINUM; FN, FreeStyle Navigator ® .

    Article Snippet: Dexcom G4 TM PLATINUM (Dexcom) , Target site: skin Technology used: glucose sensor; sensor lifespan: 168 h; length of sensor probe: 13 mm; gauge of sensor probe: 26 mm; sensor warm up: 2 h; calibration every 12 h, but twice within the first 30 min. Advantages: compact, wearable and light-weight; measures glucose continuously every 5 min; transmit glucose readings to the receiver up to a distance of 6 m; employs a very thin glucose sensor that can be used for up to seven days and has the same diameter as a human hair; high precision; receiver with colored screen and alarm alerts for high and low glucose levels and when the glucose levels are rising or falling quickly; comes with Dexcom STUDIO TM data management software, which enables simple navigation and an illustrative visual for the quick and easy identification of glucose patterns. Disadvantages: invasive; requires calibration with blood glucose testing every 12 h; requires a change of the sensor after a few days. Reliability: aggregate MARD = 13%; 90% of DG4P sensors had an individual MARD of ≤20%; DG4P had a mean absolute difference of 11 mg/dL for hypoglycemia (YSI < 70 mg/dL) [ ]. Cost: US $1,198 for CGMS and US $349 for a four-pack of sensors. Daily cost of US $6.70. Availability: USA, European Union, Asian and Latin American countries that recognize the CE mark. .

    Techniques: Software, Raman Spectroscopy, Transmission Assay, Spectroscopy