Reporting and analysis

The next step, which is to list the data, will also have been prepared well in advance. Again this is a skilled undertaking as these so-called lists are, in fact, complex tables. It is falsely assumed by many to be simply a matter of pushing a few buttons, but in practice it requires days of programming and a great deal of attention to detail if the result is to prove satisfactory. Randomization codes are only broken once the data have been finalized and the first genuine listings can then be produced. 

Once the analyses are complete, the statistician then writes his or her contribution to the integrated report. The medical writer should already have prepared a skeleton report including the introductory background sections, and will draft a summary of the results. The study physician will provide clinical interpretation. Finally, the study team including the statistician will review the whole in order to harmonize the contributions, agree any necessary amendments and have the report released. 

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Elliott reeommends serviees of two witnesses be employed during the instrument ealibration and test. Expenses assoeiated with the field test would be a per diem rate for the serviee engineer, travel and living expenses at eost plus 10% administrative eharge, and a maximum limit of eight man-day eharge for pre- and post-test analysis and report preparation (typieal unit). 

Analysis and reporting of results, including a conformation run. The analysis of results should be transparent. Simple approaches should be used where possible to build confidence and provide clarity. 

Database that allows storage, retrieval, analysis, and reporting for industrial pretreatment programs. Requires 512K memory. 

Bohnenkamp and Engell and Caplan et have also reported rapid carbon loss from the steel during the initial stage of oxidation at higher temperatures (circa 850°C) followed by a much lower, or zero, loss of carbon later. Caplan et at. measured the COj evolution by infrared gas analysis and reported that the percentage of carbon loss from 0.1 %C, 0.4%C, 0.8%C and 1.2%C steels was overall very small and may be redistributed in the metal. There was no carbon loss detected at 700°C. The overall oxidation rates were all found to be parabolic at 850°C and less than the oxidation rate of pure Fe. In the Fe-C alloys the individual phases of FeO, FejO and... 

Nitrophenol and 4-nitrophenol glucuronide are excreted in urine. The studies of urinary excretion of methyl parathion metabolites, including those reported in this section, generally hydrolyze the glucuronide prior to analysis and report the resulting total 4-nitrophenol values. 

Data Management, Analysis, and Reporting Alternatives for Laboratory Instrumentation... 

Since we are a research center, many of our requirements are unique and evolving. Therefore, although we favor use of commercial specific/bundled systems where possible, we are more often than not funneled into the in-house option. The software system designed and written in-house and which is adapted for most of our applications is called MARS, an acronym for Management, Analysis, and Reporting System. 

An analyst will handle many tens of thousands of samples over a career. The speed and complexity of sample analysis and reporting is rising and will rise further still. The quality and reproducibility demanded of sample analysis is also rising. Analyses may become numbingly repetitive and results may not receive much appreciation. In analytics, the rewards for work well done are rarely proportionate to the penalties for work done late or... 

The E9 discusses the statistical issues in the design and conduct of a clinical trial. It details trial design, trial conduct, and data analysis and reporting. Although most useful... 

Common clinical trial graphics are the focus of this chapter. First, we discuss the types of graphs that are most often encountered in clinical trial analysis and reporting. Then we examine the various tools that SAS provides to help produce these graphs. Sample graph programs are provided to show how many of these graphs can be produced. 

There are several types of graphs that are common to clinical trial analysis and reporting. What follows are some brief descriptions of these graphs. 

You have all of your other analysis and reporting programming in SAS. 

SAS has always had and will maintain a central role in the data management, analysis, and reporting of clinical trial data. Because of the strong suite of SAS statistical procedures and the power of Base SAS programming, SAS remains a favorite of statisticians for the analysis of clinical trial data. Several companies have built their clinical trial data management and statistical analysis systems entirely with SAS software. More recently, SAS has offered SAS Drug Development as an industry solution that provides a comprehensive clinical trial analysis and reporting environment compliant with 21 CRF-Part 11. 

In our original column on this topic [1] we had only done a principal component analysis to compare with the MLR results. One of the comments made, and it was made by all the responders, was to ask why we did not also do a PLS analysis of the synthetic linearity data. There were a number of reasons, and we offered to send the data to any or all of the responders who would care to do the PLS analysis and report the results. Of the original responders, Paul Chabot took us up on our offer. In addition, at the 1998 International Diffuse Reflectance Conference (The Chambersburg meeting), Susan Foulk also offered to do the PLS analysis of this data. 

Lloyd et al.1 described automation processes for compound optimization and simultaneous implementation of (1) a LIMS system to automate and track the flow of sample information, data analysis, and reporting (2) an automated data archiving system to handle a large number of LC/ MS/MS data files (3) custom software to track a large number of protocol flows and (4) workstation automation. 

An additional consideration for sample preparation is to ensure that the final sample solution is miscible with the HPLC eluent and will not alter or degrade the column.62 The total time needed for sample preparation may be longer than that required to conduct chromatographic separation and therefore becomes is the rate-determining step for the analysis.63 A survey cited by several authors indicated that on average chromatography separation accounts for about 15% of the total analysis time, sample preparation, about 60%, and data analysis and reporting, 25%.64 66... 

Australia for six months each year, and for time to obtain access permissions for some areas). Figure 3 shows the catchments sampled to 31 December 2008. Sample preparation started in early 2008 and will continue until late 2009. Sample analysis started mid-2008 and will continue until mid-2010. Data analysis and reporting are planned to take place in 2010 and early 2011. The project concludes on 30 June 2011. 

Sometimes the blind review can throw up data issues that require further evaluation by the data management group with data queries being raised, and these perhaps may result in changes to the database. This sequence of events can cause major headaches and delays in the data analysis and reporting, and so it is important in the planning phase to get the data validation plan correct so that issues are identified and dealt with in an ongoing way. 

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