We show how equations can be streamlined for special applications: when the value of all four inferences is considered equal, when the identification of TNs carries no value, and when a study carries no value unless at least one TP is discovered.
Conclusion: The proposed optimization equations can be used to guide the selection of the optimal type I and type II errors of future studies in which sample size is constrained. (C) 2013 Published by Elsevier Inc.”
“The aim this work was develop gastro-resistant pellets of didanosine as well as study the impact on
the pellets properties, regarding the way as the binder was added GPCR Compound Library mouse and drying process used. The pellets formation was accompanied by analysis of morphological parameters and didanosine dissolution. In the most cases, pellets showed diameter around 1.0 mm and shape parameters acceptable. The variations of the process did not interfere significantly in pellets size. In turn, drying in fluid bed favored the dissolution of didanosine, in contrast to binder addition on powder form that impaired. In another hand, this last resulted in the best aspect factor (about 1.1). Gastro-resistant pellets showed adequate dissolution,
compatible with this type of dosage form. Selleckchem CYT387 The variables of process studied enabled obtain pellets with characteristics of shape and dissolution just slightly different, indicating flexibility SNX-5422 concentration of the formulation for production of gastro-resistant pellets of didanosine.”
“Background: The Indigenous population of Australia was estimated as 2.5% and under-reported. The aim of this study is to improve statistical ascertainment of Aboriginal women giving birth in New South Wales.
Methods: This study was based on linked birth data from the Midwives Data Collection (MDC) and the Registry of Births Deaths and Marriages (RBDM) of New South Wales (NSW). Data linkage was performed by the Centre for Health Record Linkage (CHeReL)
for births in NSW for the period January 2001 to December 2005. The accuracy of maternal Aboriginal status in the MDC and RBDM was assessed by consistency, sensitivity and specificity. A new statistical variable, ASV, or Aboriginal Statistical Variable, was constructed based on Indigenous identification in both datasets. The ASV was assessed by comparing numbers and percentages of births to Aboriginal mothers with the estimates by capture-recapture analysis.
Results: Maternal Aboriginal status was under-ascertained in both the MDC and RBDM. The ASV significantly increased ascertainment of Aboriginal women giving birth and decreased the number of missing cases. The proportion of births to Aboriginal mothers in the non-registered birth group was significantly higher than in the registered group.
Conclusions: Linking birth data collections is a feasible method to improve the statistical ascertainment of Aboriginal women giving birth in NSW.