metandi command (STATA Corporation)
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STATA Corporation
metandi command
Metandi Command, supplied by STATA Corporation, 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/metandi+command/metandi+command/pm40644893-93-22-24
Average 90 stars, based on 1 article reviews
Metandi Command, supplied by STATA Corporation, 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/metandi+command/metandi+command/pm40644893-93-22-24
Average 90 stars, based on 1 article reviews
metandi command - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis. Article Snippet: Background: Lack of accurate and timely diagnosis of hepatitis poses obstacles to effective treatment, disease progression prevention, complication reduction, and life-saving interventions of patients.. Utilizing machine learning can greatly enhance the achievement of timely and precise disease diagnosis.. Therefore, we carried out this systematic review and meta-analysis to explore the performance of machine learning algorithms in predicting viral hepatitis. Article Title: Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis. Article Snippet: The summary receiver operating characteristic (SROC) curve was obtained using the “metandi” command in Article Title: The diagnostic Accuracy of Visual versus automated dipstick proteinuria testing in Pregnancy: A systematic review and Meta-Analysis. Article Snippet: Pooled sensitivity and specificity were estimated for each index test using the bivariate model implemented using the command Article Title: Association of neutrophil-to-lymphocyte ratio and hemodialysis access failure in patients with end stage renal disease: A systematic review and meta-analysis. Article Snippet: This systematic review and meta-analysis aimed to assess the association of neutrophil-to-lymphocyte ratio (NLR) with an elevated risk of vascular access failure in end-stage renal disease (ESRD) patients undergoing hemodialysis.. A comprehensive database search of MEDLINE (via PubMed), Scopus, and Cochrane Central was performed.. Studies reporting the values of NLR in both functional and non-functional AVF groups in ESRD patients were selected. Article Title: Deep learning for diagnosing and grading pterygium: A systematic review and meta-analysis. Article Snippet: To account for inter-study heterogeneity and correlation between sensitivity and specificity, we employed bivariate hierarchical random-effects models using the user written command Article Title: Diagnostic accuracy of Afirma Gene Expression Classifier, Afirma Gene Sequencing Classifier, ThyroSeq v2 and ThyroSeq v3 for indeterminate (Bethesda III and IV) thyroid nodules: a meta-analysis Article Snippet: As the Article Title: Ultrasound for assessing tumor spread in ovarian cancer. A systematic review of the literature and meta-analysis. Article Snippet: All these analyses were performed using the Diagnostic Assay:Article Title: Deep Learning-Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis. Article Snippet: Background: Artificial intelligence (AI)based tools have shown promise in histopathology image analysis in improving the accuracy of oral squamous cell carcinoma (OSCC) detection with intent to reduce human error.. Objectives: This systematic review and metaanalysis evaluated deep learning (DL) models for OSCC detection on histopathology images by assessing common diagnostic performance evaluation metrics for AIbased medical image analysis studies.. Methods: Diagnostic accuracy studies that used DL models for the analysis of histopathological images of OSCC compared to the reference standard were analyzed. |