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Statistical Interpretation of Toxicity Data
1987Many of the topics discussed in this chapter pertain to experimental data in general, but the context of their use and examples given are in the field of toxicology. The discussion focuses on the statistical interpretation of data rather than on the statistical procedures used in the data analysis.
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Statistical approaches to interpretation of seismic reflection data
Tectonophysics, 2000Abstract Statistical approaches offer a potentially powerful tool for interpretation of the complex seismic reflection patterns typically recorded from the crystalline crust. These methods focus on characterization of the complexity, scaling characteristics and spatial variability of the wave field with the ultimate aim of recovering information on ...
Charles A. Hurich, A Kocurko
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Interpretation of research data: Selected statistical procedures
American Journal of Health-System Pharmacy, 1980Selected statistical procedures used in the analysis of research data are presented. The relationship of significance testing to research hypotheses is explained in terms of tests of differences and correlation. Also, the differences, assumptions, and advantages and disadvantages of parametric and nonparametric statistics are discussed.
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A statistical interpretive method for neuropsychological test data.
Neuropsychology review, 2001The accurate interpretation of large numbers of neuropsychological tests within a flexible battery approach is a difficult and sometimes controversial process. We present a statistically based method of interpretation (Rohling's Interpretive Method or RIM) and evaluation of neuropsychological data that allows for varying numbers of tests along a ...
Martin L. Rohling, Miller Ls
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Statistical interpretation of S-on-1 data and the damage initiation mechanism
SPIE Proceedings, 2008ABSTRACT Multipulse laser induced damage optical materials is an important topic for many applications of nonlinear crystals. We studied multi pulse damage in X-cut KTiOPO 4 . A 6ns Nd:YAG laser has been used with a weakly focused beam. A fatigue phenomenon has been observed and we try to clarif y the question whether or not this phenomenon necessarily
Wagner, Frank +5 more
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Statistical approach to range-data fusion and interpretation
Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96), 2002Making-use of multiple sensors is crucial for improvement of mobile robot navigation performance. The contribution introduces a problem of integrating noisy range-data by data fusion on signal/pixel level. This is performed for multiple sensors and different sensor positions into a common description of the environment. The paper deals with grid models,
Libor Preucil, Petr Stepan
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HOSPITAL INFECTIONS AND THEIR CONTROL: PITFALLS IN THE INTERPRETATION OF STATISTICAL DATA*
Journal of the American Geriatrics Society, 1961The problem of intra‐hospital infection has been the subject of world‐wide concern, and even controversy, during the past decade. The shift in emphasis to the institution as a nidus of spreading pathogens is, in part, the natural outcome of an abating conflict with the once insurmountable infections originating in the community.
Mildred B. Fertman, Manuel H. Fertman
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Statistical Transformation and the Interpretation of Inpatient Glucose Control Data
Endocrine Practice, 2014To introduce a statistical method of assessing hospital-based non-intensive care unit (non-ICU) inpatient glucose control.Point-of-care blood glucose (POC-BG) data from hospital non-ICUs were extracted for January 1 through December 31, 2011. Glucose data distribution was examined before and after Box-Cox transformations and compared to normality ...
Janna C. Castro +2 more
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Multivariate statistical interpretation of coastal sediment monitoring data
Fresenius' Journal of Analytical Chemistry, 2001Multivariate statistical analysis of sediment data (input matrix 122 x 15) collected from 122 sampling sites from the western coastline of the USA and analyzed for 15 analytes indicates that the data structure could be explained by four latent factors. These factors are conditionally named "anthropogenic", "organic", "natural", and "hot spots".
Ivana Stanimirova +2 more
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Is statistical significance testing useful in interpreting data?
Reproductive Toxicology, 1993Although P values and statistical significance testing have become entrenched in the practice of biomedical research, their usefulness and drawbacks should be reconsidered, particularly in observational epidemiology. The central role for the null hypothesis, assuming an infinite number of replications, and the dichotomization of results as positive or ...
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