Logistic factors

Forecast the crude slate that would likely be used to meet the forecast demand. This is determined by an analysis of domestic reserves, historical production trends, and estimates of new production. The shortfall between domestic production and refinery crude runs is met by imported crudes which are selected on the basis of production/export capabilities, logistical factors, and historical trends. 

Most studies on parental perception have been carried out within 72 hours of research participation decisions (Zupancic et al., 1997 Hoehn et al., 2005) others are retrospective or prospective questionnaire studies (van Stuijvenberg et ah, 1998). Factors that influence parental decisions are societal benefit, personal benefit, risk perception and perceived lack of harm. The logistic factors that influence parental perception of risks are the amount of information given, the trust in the institution and the time required for the decision-making. Parents who perceived benefit, either personal or societal, were more likely to participate than if they perceived risk (Tait et al., 2004 Hoehn et al., 2005). Societal benefit is the most frequently cited reason for participation in clinical research. Parents with a critically ill child have an altruistic view to help future children in similar conditions (Langley et ah, 1998 van Stuijvenberg et ah, 1998 Schmidt et ah, 1999 Mason and Allmark, 2000 Hoehn et ah, 2005). 

Water has always been a supply and logistical factor in battle. Considerable resources are spent by the militaiy to ensure that essential battlefield hydration requirements are met. The US Army Quartermaster Corps has a 92W Military Occupation Specialty for Water Treatment Specialist. The 92W is responsible for installation and operation of water purification equipment, water storage and distribution operations and activities. ... 

In addition to the financial issues, logistic factors might also be significantly important in the international supplier selection decision. Cebi and Bayraktar (2003) state that delivery lead time, supply lots, flexibility in changing the order, delivery in good condition, and capacity to meet demand are just some of the criteria considered in this category. We will discuss international logistics in detail in Section 8.5. 

Inbound Menu- Outbound Distribution Logistics factoring Logistics Center... 

JCS 825/2, 18 Aug 44, Capabilities of Implementing a Decision To Initiate Retaliatory Cml Warfare Against the Japanese. For USCWC work in connection with this study, particularly the logistical factors, see Memo, Chmn USCWC for Secy JLC, 25 Aug 44, same sub, submitted as USCWC 121/5 and USCWC 121/6, 26 Aug 44-... 

Specific predictive factors for outcome after surgical intervention have not been well defined in the literature. In one prospective, multicenter observational study of 95 patients, the state of consciousness was the only predictive factor retained in a logistic regression analysis." In this study, there was a 2.8-fold increased risk for poor outcome for each increase on a three-step scale (awake/drowsy, somnolent/ stuporous, and comatose), and good outcomes (modified Rankin Scale score <2) were achieved in 86%, 76%, and 47% of patients within each group, respectively. 

Logistics and cleaning procedures are important factors in successful sampler inter comparison. It is not desirable or possible to endorse or to condemn... 

The implementation of efficient and updated 2D and 3D structure databases is one major challenge in molecular diversity management. In addition to the compound design and selection criteria used for the compilation, the quality of the compound storage, manipulation, and logistics systems used for the management of the collection are key factors to yield reproducible results. ... 

Multiple regression as presented so far is for continuous outcome variables y. For binary, categorical and ordinal outcomes the corresponding technique is called logistic regression. Suppose that in our earlier example we defined success to be disease-free for five years then we might be interested identifying those variables/factors at baseline that were predictive of the probability of success. 

In Chapter 6 we covered methods for adjusted analyses and analysis of covariance in relation to continuous (ANOVA and ANCOVA) and binary and ordinal data (CMH tests and logistic regression). Similar methods exist for survival data. As with these earlier methods, particularly in relation to binary and ordinal data, there are numerous advantages in accounting for such factors in the analysis. If the randomisation has been stratified, then such factors should be incorporated into the analysis in order to preserve the properties of the resultant p-values. 

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