scholarly journals The Design and Data Analysis of Two Stage Cross-Over Test for Medicament Bioavailability

Author(s):  
Huameng Gao ◽  
Fan Yang ◽  
Hechao Wang ◽  
Wenxiu Wang
Keyword(s):  
Talanta ◽  
2005 ◽  
Vol 67 (3) ◽  
pp. 590-596 ◽  
Author(s):  
P CIOSEK ◽  
Z BRZOZKA ◽  
W WROBLEWSKI ◽  
E MARTINELLI ◽  
C DINATALE ◽  
...  

2020 ◽  
Vol 77 ◽  
pp. 1413-1424
Author(s):  
Ancha Xu ◽  
You-Gan Wang ◽  
Shurong Zheng ◽  
Fengjing Cai

2018 ◽  
Vol 2 (1) ◽  
pp. 111
Author(s):  
Rizky Amelia Zahrah Lubis ◽  
Dede Ruslan ◽  
Andri Zainal

AbstractThe aim of this research is to anaylse the influence of world CPO price on real exchange rate of Rupiah through the changes of money supply, interest rate, and inflation. This is a quantitative research employing eviews 6.0. This current research hasshown that the influence of world CPO price to real exchange rate of Rupiah through the changes of money supply, interest rate, and inflation in Indonesia between 2008(q1-q4) – 2015(q1-q4)) is significant and of positive value. Data analysis in this research wasemploying descriptive method, equipped with econometric data analysis with double linier regression analysis model applied by using regression. The simultanous equivalence was done by Two-Stage Square / 2 SLS) model.KeyWords: Real Exchange Rate of Rupiah, World CPO Price, Supply of Money, Interest Rate, Inflation


2021 ◽  
Author(s):  
Shirin Manafi

In this research, we introduce an approach to improve the reliability of genetic data analysis. Consistency of the results obtained from microarray data analysis strongly relies on elimination of non-biological variations during data normalization process. Instability in Housekeeping Gene (HKG) expression after performing common normalization methods might be an indication of inefficiency potentially resulting in sampling bias in differential expression analysis. This research aims to reduce the sampling bias in microarray experiments proposing a two-stage normalization algorithm. Proposed approach consists of non-linear Quantile normalization at the first stage and linear HKG based normalization at the second stage. We tested the efficiency of the two-stage normalization method using publicly available microarray datasets obtained from the experiments mainly in the field of reproductive biology. Results show that combined Robust Multiarray Average (RMA) and HKG normalization method reduces the sampling bias in experiments when variations in HKG expression is observed after RMA normalization.


Sign in / Sign up

Export Citation Format

Share Document