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Journals / KSÜ Doğa Bilimleri Dergisi / 2014 / Cilt: 17 - Sayı: 1

Meta Analysis and Agricultural Applications

Meta Analizi ve Tarımsal Uygulamalar

HANDE KÜÇÜKÖNDER
Ercan EFE
Pages
1–7
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Meta-analysis summary odds ratios for practices based on the assumption that bothmodels support each other in all samples examined and was found (p <0.05).

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, meta-analysis, which is used in order to gather published or unpublished studies on aspecific topic conducted by the researchers, is introduced and is intended to guide to investigators who will study onthis issue.
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Key Findings & Data:In the research, 8 different application samples are chosen, and the data of these samples analyzed instatistical software package Comprehensive Meta-Analysis by transferring to MSQL database.
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Conclusion & Impact:Meta-analysis summary odds ratios for practices based on the assumption that bothmodels support each other in all samples examined and was found (p <0.05).
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, meta-analysis, which is used in order to gather published or unpublished studies on aspecific topic conducted by the researchers, is introduced and is intended to guide to investigators who will study onthis issue. In the research, 8 different application samples are chosen, and the data of these samples analyzed instatistical software package Comprehensive Meta-Analysis by transferring to MSQL database. During the studies,odds ratio is selected as measure of impact and unification of studies is performed in two ways according to MantelHaenszel and Peto methods. . Meta-analysis summary odds ratios for practices based on the assumption that bothmodels support each other in all samples examined and was found (p <0.05).

Özet

Bu çalışmada belirli bir konu üzerinde farklı araştırıcılar tarafından yapılmış olan yayınlanmış ya dayayınlanmamış birçok çalışmayı bir araya getirmek amacıyla kullanılan meta analizin tarımsal alandakullanılabilirliği anlatılmıştır. Tarımsal alandan seçilen 8 farklı uygulama örneklerine ait veriler MSQL veri tabanınaaktarılarak Comprehensive Meta Analysis istatistik paket programında analiz edilmiştir. Çalışmalarda etki ölçütüolarak odds oranı seçilmiş ve çalışmaların birleştirilmesi Mantel-Haenszel ve Peto yöntemlerine göre iki farklışekilde gerçekleştirilmiştir. Meta analiz uygulama örnekleri için özet odds oranları her iki model varsayımına göreincelenmiş ve tüm örneklerde birbirini destekler nitelikte bulunmuştur (p<0.05).

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Cite This Article

KÜÇÜKÖNDER, H., EFE, E. (2014). Meta Analysis and Agricultural Applications. KSÜ Doğa Bilimleri Dergisi, Cilt: 17 - Sayı: 1, 1–7. https://ajindex.com/articles/341684

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