| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Aquaculture (Q1) | ||
| Dergi ISSN | 0044-8486 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2020 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2020 |
| Cilt / Sayı / Sayfa | 515 / 1 / 734568–0 | DOI | 10.1016/j.aquaculture.2019.734568 |
| Makale Linki | https://www.sciencedirect.com/science/article/abs/pii/S0044848618320908?casa_token=P7uqRnaZ-gAAAAAA:S_oedgBfxbViynvTpyX7mLTsu6xYYqEgLH438_fpAwEAeYSIunXic_2HwUZDfPQox330Kwv7APg | ||
| UAK Araştırma Alanları |
Su Ürünleri Yetiştiriciliği
|
||
| Özet |
| The information obtained as a result of research in natural sciences should have a high statistical power, that is also valid for the field of aquaculture. The sample size needs to be increased in order to increase the statistical power of a scientific study. However, studying on large sample size may not always be possible. Therefore, many experimental designs have been developed for data collection purposes to keep the sample size minimum. Group sequential designs have been enhanced for the data entered sequentially to the trial most of the time in medicine, production, economy etc. With these designs, the studies can be early terminated and results can also be obtained the results based on with high statistical power with smaller sample size. These experimental designs are specifically applied to survival data. In the survival analysis used in the field of aquaculture, all of the samples are included at the … |
| Anahtar Kelimeler |
| Group sequential test methods | Power analysis | Sample size | Survival analysis | Trial design in aquaculture |
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 2 |
| Dergi Adı | AQUACULTURE |
| Yayıncı | Elsevier B.V. |
| Açık Erişim | Hayır |
| ISSN | 0044-8486 |
| E-ISSN | 1873-5622 |
| CiteScore | 8,9 |
| SJR | 1,096 |
| SNIP | 1,302 |