Accessing Individual Students Academic Performance Using Random Effect Analysis (Multilevel Analysis)

2016 ◽  
Vol 4 (3) ◽  
pp. 341-357
Author(s):  
Ekow Ewusi Amissah ◽  
Nana Kena Frempong ◽  
Emmanuel DeGraft Johnson Owusu-Ansah
2019 ◽  
Vol 8 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Luhur Selo Baskoro ◽  
Yonsuke Hara ◽  
Yoshihiro Otsuji

This paper investigates the determinants of foreign direct investment (FDI) inflow, focusing on the effect of labor productivity in the Indonesian manufacturing sector. Indonesia has the advantage of abundant labor supply in attracting FDI to bring positive externalities to its economy. Based on this background, this paper is aimed to study and to improve FDI inflow through a random effect analysis of 19 manufacturing industries from 2001 to 2014. The empirical result shows that labor productivity, wages, and export have become significant factors that attract FDI. FDI inflow in this sector tends to target non-labor industries. For the labor-intensive industries, the primary strategy is to increase labor quality through improvement in education, training, internship program, and worker certification. Improving research and development climate, and maintaining the quality of labor through health and social protection regulation can attain improvement in non-labor intensive industries.


2017 ◽  
pp. 51-62
Author(s):  
Ton J. Cleophas ◽  
Aeilko H. Zwinderman

NeuroImage ◽  
2007 ◽  
Vol 37 (4) ◽  
pp. 1178-1185 ◽  
Author(s):  
Ruth Heller ◽  
Yulia Golland ◽  
Rafael Malach ◽  
Yoav Benjamini

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S227-S228
Author(s):  
Abdullah A Alhifany ◽  
Nisrin Bifari ◽  
Yasser Alatawi ◽  
Saad Ullah Malik ◽  
Thamer Almangour

Abstract Background The initial management of Acute bacterial skin and skin structure infection (ABSSSI) is burdensome. It requires empirical antibiotic therapy that covers both gram-positive and gram-negative bacteria. Vancomycin plus aztreonam are the most commonly used antibiotic combination, nonetheless, they have many limitations which limits their use. Hence, many new single agents with MRSA and gram-negative coverage, oral options, and/or good safety profile have been developed to be a potential alternative such as: ceftaroline, ceftobiprole, tigecycline and the recent FDA approved antibiotic (delafloxacin). In the absence of head-to-head trials comparing these agents, we decided to conduct a network meta-analysis for these therapeutic regimens. Methods A Bayesian network meta-analysis of randomized clinical trials identified in PubMed/Medline and Embase databases was conducted. We performed both fixed and random effect models for clinical cure as the primary outcome of interest. Additionally, rankograms were generated using the surface under the cumulative ranking curve (SUCRA) to obtain the treatment ranking probabilities in relation to their relative effect. Results We identified 10 eligible studies involving 4,914 patients. The indirect comparison demonstrated that delafloxacin showed no difference in terms of clinical cure compared with ceftaroline (OR, 0.82, 95% Cr.I 0.39–1.8), ceftobiprole (OR, 0.79, 95% Cr.I 0.32–1.9), SOC (OR, 1.2, 95% Cr.I 0.62–2.4) and tigecycline (OR, 1.0, 95% Cr.I 0.45–2.2) in the fixed effect analysis, nor in the random-effect analysis (OR, 0.8, 95% Cr.I 0.26–2.2; OR, 0.78, 95% Cr.I 0.2–3.0; OR, 1.2, 95% Cr.I 0.51–3.1; and OR, 0.96, 95% Cr.I 0.30–3.0), respectively. Furthermore, the ranking probabilities in the fixed-effect and random-effect analysis showed that ceftaroline was ranked the first in terms of clinical cure (SUCRA, 40.02%) followed by ceftobiprole (SUCRA, 22.80%), delafloxacin (SUCRA, 16.60%), SOC (SUCRA, 13.80%), and then tigecycline (SUCRA, 6.70%). Conclusion Ceftaroline, ceftbiprole, delafoxacin, SOC and tigecycline are similarly effective. However, delafloxacin provides better convenience. Further comparative studies regarding their safety are needed. Disclosures All authors: No reported disclosures.


2019 ◽  
Vol 10 (2) ◽  
pp. 68
Author(s):  
Md. Shahidul Islam ◽  
Muhammad Saifuddin Khan

The present study investigates the factors affecting the profitability of the pharmaceutical industry of Bangladesh. Using the data of 20 listed pharmaceutical companies fully functional in Bangladesh, we found both the firm specific and the macroeconomic specific variables affect the profitability of the companies. A panel dataset of 10 years starting from 2007 to 2016, we ran the random effect regression. The regression output depicts that among the firm specific variables, sales, operating income, operating cost, return on equity and total liabilities have significant effect on the profitability of the companies. We also found that the GDP growth rate and the rate of inflation among the macroeconomic variables have significant deterministic role on the profitability. The regression results followed by recommendations will be a great help to the policy makers both from inside and outside of the corporations.


2009 ◽  
Vol 176 (2) ◽  
pp. 237-245 ◽  
Author(s):  
Mohammad Soleymani ◽  
Gholam-Ali Hossein-Zadeh ◽  
Hamid Soltanian-Zadeh

2000 ◽  
Vol 10 (4) ◽  
pp. 179-194 ◽  
Author(s):  
P. Peigneux ◽  
P. Maquet ◽  
T. Meulemans ◽  
A. Destrebecqz ◽  
S. Laureys ◽  
...  

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