পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| নেটওয়ার্ক মেটা-বিশ্লেষণ× | মেটা-রিগ্রেশন× | |
|---|---|---|
| ক্ষেত্র≠ | প্রমাণ সংশ্লেষণ | মেটা-বিশ্লেষণ |
| পরিবার≠ | Process / pipeline | Regression model |
| উদ্ভবের বছর | 2002 | 2002 |
| প্রবর্তক≠ | Lumley (2002) | Simon Thompson & Julian Higgins |
| ধরন≠ | Method | Weighted regression for effect-size heterogeneity |
| মৌলিক উৎস≠ | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ | Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573. DOI ↗ |
| অপর নাম≠ | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis | Meta-Analytic Regression, Weighted Regression in Meta-Analysis, Moderator Analysis, Meta-regresyon |
| সম্পর্কিত≠ | 1 | 2 |
| সারসংক্ষেপ≠ | Network meta-analysis (NMA) is a systematic method for comparing multiple interventions simultaneously within a single analytical framework, incorporating both direct evidence (head-to-head trials) and indirect evidence (comparisons via common comparators). First formalized by Lumley in 2002, NMA allows researchers to rank treatments and quantify comparative effectiveness even when some treatment pairs have never been directly studied. | Meta-regression is a statistical technique that extends conventional meta-analysis by regressing study-level effect sizes on one or more study characteristics (moderators) to explain between-study heterogeneity. Formalized by Thompson and Higgins in 2002, it uses weighted least squares — weighting each study by the inverse of its variance — within a mixed-effects framework, allowing researchers to identify which study features systematically account for variation in observed effects across the literature. |
| ScholarGateডেটাসেট ↗ |
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