scholarly journals PENGARUH PEMBERIAN VARIAN HERBAL JAHE (Zingiber officinale) DENGAN AUTOMATIC FEEDER TERHADAP PANJANG TUNGKAI (FEMUR, TIBIA, METATARSO) PADA ITIK (Anas javanicus)

2020 ◽  
Vol 20 (1) ◽  
pp. 1-6
Author(s):  
Reni Rakhmawati ◽  
Mei Sulistyoningsih
Keyword(s):  
Randomized Controlled Trials ◽  
Zingiber Officinale ◽  
Controlled Trials ◽  
Tibia Bone ◽  
Randomized Controlled ◽  
Total Length ◽  
Bone Length ◽  
Automatic Feeder ◽  
Leg Bones ◽  
Feed Device

This study aims to determine the effect of giving ginger elephant and ginger empiric herbs by using automatic feeder or manual feed tool to the length of the leg bones (femur, tibia, metatarso) in ducks. This study used randomized randomized controlled trials with four treatments and three repetitions. GP1 (Feed + Automatic Feeder + Elephant Ginger 2%), GP2 (Feed + Manual + Elephant Ginger 2%), EP1 (Feed + Automatic Feeder + Emprit Ginger 2%), EP 2 (Feed + Manual + Empritic Ginger 2%). The parameters measured were the length of the leg bones (femur, tibia, metatarso) of ducks. The results of the analysis showed that the total bone length of the femur was 6.51 cm with Fcount (0.038) <Ftable (5.32), the total length of the total tibia bone was 11.9 cm with Fcount (1,313) <Ftable (5, 32), and the results of the total length of the metatarso bone are 6.67 cm with Fcount (0.668)> Ftable (5.32). These results indicate that the effect of giving ginger elephant and empirical ginger using a feed device Automatic feeder or manually has no significant effect (P> 0.05) on the length of the leg bones (femur, tibia, metatarso) of ducks. The results are not significantly different which causes the Automatic feeder tool to be a new breakthrough for replacing the manual feed tool for feeding ducks

Effect of ginger (Zingiber officinale) on inflammatory markers: A systematic review and meta-analysis of randomized controlled trials

Cytokine ◽  
2020 ◽  
Vol 135 ◽  
pp. 155224 ◽  
Author(s):  
Mojgan Morvaridzadeh ◽  
Siavash Fazelian ◽  
Shahram Agah ◽  
Maryam Khazdouz ◽  
Mehran Rahimlou ◽  
...  
Keyword(s):  
Systematic Review ◽  
Randomized Controlled Trials ◽  
Inflammatory Markers ◽  
Meta Analysis ◽  
Zingiber Officinale ◽  
Controlled Trials ◽  
Randomized Controlled

The Effect of Partly Missing Covariates on Statistical Power in Randomized Controlled Trials With Discrete-Time Survival Endpoints

Methodology ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 41-60
Author(s):  
Shahab Jolani ◽  
Maryam Safarkhani
Keyword(s):  
Randomized Controlled Trials ◽  
Discrete Time ◽  
Treatment Effect ◽  
Survival Data ◽  
Controlled Trials ◽  
Missing Covariates ◽  
Indicator Method ◽  
Imputation Methods ◽  
Randomized Controlled ◽  
Baseline Covariates

Abstract. In randomized controlled trials (RCTs), a common strategy to increase power to detect a treatment effect is adjustment for baseline covariates. However, adjustment with partly missing covariates, where complete cases are only used, is inefficient. We consider different alternatives in trials with discrete-time survival data, where subjects are measured in discrete-time intervals while they may experience an event at any point in time. The results of a Monte Carlo simulation study, as well as a case study of randomized trials in smokers with attention deficit hyperactivity disorder (ADHD), indicated that single and multiple imputation methods outperform the other methods and increase precision in estimating the treatment effect. Missing indicator method, which uses a dummy variable in the statistical model to indicate whether the value for that variable is missing and sets the same value to all missing values, is comparable to imputation methods. Nevertheless, the power level to detect the treatment effect based on missing indicator method is marginally lower than the imputation methods, particularly when the missingness depends on the outcome. In conclusion, it appears that imputation of partly missing (baseline) covariates should be preferred in the analysis of discrete-time survival data.

Interventions for suicide and self-injury: A meta-analysis of randomized controlled trials across nearly 50 years of research.

2020 ◽  
Vol 146 (12) ◽  
pp. 1117-1145
Author(s):  
Kathryn R. Fox ◽  
Xieyining Huang ◽  
Eleonora M. Guzmán ◽  
Kensie M. Funsch ◽  
Christine B. Cha ◽  
...  
Keyword(s):  
Randomized Controlled Trials ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Self Injury
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