Books on the topic 'Test result reporting'

The textbook discusses the theoretical and practical aspects of the analysis of financial statements of organizations in various fields of activity. The theory and practice of the analysis of reporting forms are based on the use of modern regulatory documents in the field of accounting and tax accounting, auditing, statistics. The textbook reflects the features of the analysis of financial, accounting, tax, statistical reporting of organizations based on the use of a system of analytical indicators and the interconnection of reporting forms. Examples of execution of analytical documents of the economist-analyst are given, which allow to visualize the process of conducting and summarizing the results of the analysis of reporting indicators in organizations of various types of activity. Meets the requirements of the federal state educational standards of higher education of the latest generation and includes a course of lectures, discussion questions, tests, practical situations and tasks. For undergraduate and graduate students, graduate students, teachers of economic universities and colleges, auditors, accountants, economists, employees of tax, statistical and financial services.

The biochemical genetics laboratory has seen rapid technological growth and progress in the past 25 years, which has greatly aided in the detection of inborn errors of metabolism. Result reporting and accuracy are influenced by preanalytic sample handling, sample type, and methodology. Differentiating normal from abnormal is the key to disease diagnosis, and the interpretation of results often depends upon the pattern of analytes and knowledge about the patient’s clinical picture. The biochemical genetics laboratory is a setting that benefits from the addition of genetic counselors on staff. Technologies may evolve, but the role of the laboratory genetic counselor will remain essential.

Journals are becoming increasingly more stringent in their requirements for what must be reported in articles about the psychometric properties of scales. This chapter reviews three of the most commonly used guidelines; the Standards for Educational and Psychological Testing, the STARD initiative (Standards for Reporting of Diagnostic Accuracy), and the Guidelines for Reporting Reliability and Agreement Studies (GRRAS). It abstracts portions of these guidelines that are most relevant for scales used in research settings. These cover the reporting of test development, reliability, and validity. The chapter also has a flow chart, adapted from STARD, that should be included when submitting a manuscript about scale development to a journal.

Cytogenetic testing is ordered in a wide range of clinical settings. The primary purpose is to evaluate for constitutional abnormalities. This chapter describes cytogenetic testing methodologies, such as microarray analysis, chromosome analysis, prenatal genetic testing, and fluorescence in situ hybridization, identifying their strengths and limitations, and details specimen processing. It summarizes commonly used nomenclature according to the International System for Human Cytogenetic Nomenclature. The chapter also discusses the criteria that laboratory genetic counselors use for reporting uncertain, novel, or ambiguous results.

Molecular genetic testing has been around since the discovery and offering of clinical testing for the first gene sequenced. However, in recent years the methods and scope of molecular genetic testing have evolved significantly to encompass next-generation sequencing, multigene panels, and whole exome and genome testing. With this evolution in molecular methods, the nomenclature and variant evaluation and annotation processes are crucial for the systematic and standard interpretation of molecular test results. This chapter will provide the laboratory genetic counselor with information about the common sample types analyzed by molecular techniques for the purposes of genetic testing and the various methodologies available and their limitations. Guidelines are given for the standard approach to molecular variant reporting with respect to nomenclature and variant classification.

This chapter explains systematic reviews, the PRISMA format, and meta-analysis. It discusses publication bias, outcome reporting bias, funnel plots, the issue of false positive results in small studies, along with search strategies, electronic databases, PubMed, and the Cochrane collaboration. It discusses the assessment of quality, risks of bias, limitations of meta-analysis, heterogeneity testing, effect modification, and meta-regression methods. In part two, it explains statistical methods for meta-analyses are presented, including the Mantel-Haenszel and Peto methods for individual patient data, the inverse variance weighted method using final results, and random effects methods. Forest plots and tests of heterogeneity are explained.

The approach to microbial detection in patients who present to acute settings should be focused and should aim to result in clinically significant findings while minimizing the chances of a missed diagnosis or missed complications related to a patient’s existing disease burden. Judicious selection of laboratory tests, efficient sample collection, and laboratory reporting are all important considerations. This chapter provides general guidelines for the initial evaluation of potential microbial infections in patients presenting to the Emergency Department (ED). In some cases, the diagnosis will remain uncertain during the patient’s stay, but diagnostic testing initiated in the ED may be beneficial for the inpatient or outpatient team and the future care of the patient.

Soil Chemical Methods – Australasia describes over 200 laboratory and field chemical tests relevant to Australasia and beyond. The information and methodology provided across 20 chapters is comprehensive, systematic, uniquely coded, up-to-date and designed to promote chemical measurement quality. There is guidance on the choice and application of analytical methods from soil sampling through to the reporting of results. In many cases, optional analytical ‘finishes’ are provided, such as flow-injection analysis, electro-chemistry, multiple flame technologies, and alternatives to chemical testing offered by near-range and mid-range infrared diffuse reflectance spectroscopy. The book supersedes and updates the soil chemical testing section of the 1992 Australian Laboratory Handbook of Soil and Water Chemical Methods of Rayment and Higginson, while retaining method codes and other strengths of that Handbook. Chapters cover soil sampling, sample preparation and moisture content; electrical conductivity and redox potential; soil pH; chloride; carbon; nitrogen; phosphorus; sulphur; gypsum; micronutrients; extractable iron, aluminium and silicon; saturation extracts; ion-exchange properties; lime requirements; total miscellaneous elements; miscellaneous extractable elements; alkaline earth carbonates and acid sulfate soils. In addition, there are informative Appendices, including information on the accuracy and precision of selected methods. This book targets practising analysts, laboratory managers, students, academics, researchers, consultants and advisors involved in the analysis, use and management of soils for fertility assessments, land use surveys, environmental studies and for natural resource management.

The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network (GESUT) and in database of topographic objects (BDOT500) were analyzed. The results of the research concerned selected aspects of activities in terms of the spatial data quality. These activities include: the assessment of the accuracy of data collected in official spatial databases; determination of the uncertainty of the area of registry parcels, analysis of the risk of damage to the underground infrastructure network due to the quality of spatial data, construction of the quality model of data collected in official databases and visualization of the phenomenon of uncertainty in spatial data. The evaluation of the accuracy of data collected in official, large-scale spatial databases was based on a representative sample of data. The test sample was a set of deviations of coordinates with three variables dX, dY and Dl – deviations from the X and Y coordinates and the length of the point offset vector of the test sample in relation to its position recognized as a faultless. The compatibility of empirical data accuracy distributions with models (theoretical distributions of random variables) was investigated and also the accuracy of the spatial data has been assessed by means of the methods resistant to the outliers. In the process of determination of the accuracy of spatial data collected in public registers, the author’s solution was used – resistant method of the relative frequency. Weight functions, which modify (to varying degree) the sizes of the vectors Dl – the lengths of the points offset vector of the test sample in relation to their position recognized as a faultless were proposed. From the scope of the uncertainty of estimation of the area of registry parcels the impact of the errors of the geodetic network points was determined (points of reference and of the higher class networks) and the effect of the correlation between the coordinates of the same point on the accuracy of the determined plot area. The scope of the correction was determined (in EGiB database) of the plots area, calculated on the basis of re-measurements, performed using equivalent techniques (in terms of accuracy). The analysis of the risk of damage to the underground infrastructure network due to the low quality of spatial data is another research topic presented in the paper. Three main factors have been identified that influence the value of this risk: incompleteness of spatial data sets and insufficient accuracy of determination of the horizontal and vertical position of underground infrastructure. A method for estimation of the project risk has been developed (quantitative and qualitative) and the author’s risk estimation technique, based on the idea of fuzzy logic was proposed. Maps (2D and 3D) of the risk of damage to the underground infrastructure network were developed in the form of large-scale thematic maps, presenting the design risk in qualitative and quantitative form. The data quality model is a set of rules used to describe the quality of these data sets. The model that has been proposed defines a standardized approach for assessing and reporting the quality of EGiB, GESUT and BDOT500 spatial data bases. Quantitative and qualitative rules (automatic, office and field) of data sets control were defined. The minimum sample size and the number of eligible nonconformities in random samples were determined. The data quality elements were described using the following descriptors: range, measure, result, and type and unit of value. Data quality studies were performed according to the users needs. The values of impact weights were determined by the hierarchical analytical process method (AHP). The harmonization of conceptual models of EGiB, GESUT and BDOT500 databases with BDOT10k database was analysed too. It was found that the downloading and supplying of the information in BDOT10k creation and update processes from the analyzed registers are limited. An effective approach to providing spatial data sets users with information concerning data uncertainty are cartographic visualization techniques. Based on the author’s own experience and research works on the quality of official spatial database data examination, the set of methods for visualization of the uncertainty of data bases EGiB, GESUT and BDOT500 was defined. This set includes visualization techniques designed to present three types of uncertainty: location, attribute values and time. Uncertainty of the position was defined (for surface, line, and point objects) using several (three to five) visual variables. Uncertainty of attribute values and time uncertainty, describing (for example) completeness or timeliness of sets, are presented by means of three graphical variables. The research problems presented in the paper are of cognitive and application importance. They indicate on the possibility of effective evaluation of the quality of spatial data collected in public registers and may be an important element of the expert system.