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The role of statistical methods in optimizing and enhancing fungal chitosan commercial production. [PDF]
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New England Journal of Medicine, 1966
ARTICLES in the medical literature increasingly present statistical tests of significance. Too frequently one has the feeling that these have been added only after bitter correspondence between the author, the editors and a consulting statistician. Used in this way, tests of significance add little to the report of an investigation.
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ARTICLES in the medical literature increasingly present statistical tests of significance. Too frequently one has the feeling that these have been added only after bitter correspondence between the author, the editors and a consulting statistician. Used in this way, tests of significance add little to the report of an investigation.
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Statistical methods in learning
1993In this paper we describe an ESPRIT project known as ‘Stat-Log’ whose purpose is the comparison of learning algorithms. We give a brief summary of some of the algorithms in the project: linear and quadratic discriminant analysis, k nearest neighbour, CART, backpropagation, SMART, ALLOC80 and Pearl's polytree algorithm.
A. Sutherland +4 more
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Statistical methods in support
Journal of Clinical Epidemiology, 1990The analysis and interpretation of the data collected in SUPPORT provide great potential for understanding the relationships among treatment choices, patient and physician values and preferences, perceptions about the risks and benefits of treatments, institutional characteristics, and outcomes (as measured by quality of life, survival, and ...
F E, Harrell +7 more
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Multivariate Statistical Methods
American Journal of Roentgenology, 2005This is the 20th in the series designed by the American College of Radiology (ACR), the Canadian Association of Radiologists, and the American Journal of Roentgenology. The series, which will ultimately comprise 22 articles, is designed to progressively educate radiologists in the methodologies of rigorous clinical research, from the most basic ...
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2009
Abstract This chapter provides an introduction to statistical methods with illustrative examples from public health and epidemiological research. The chapter begins by distinguishing between a study sample and a target population. It goes on to outline different methods of sampling, including probability and non-probability sampling ...
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Abstract This chapter provides an introduction to statistical methods with illustrative examples from public health and epidemiological research. The chapter begins by distinguishing between a study sample and a target population. It goes on to outline different methods of sampling, including probability and non-probability sampling ...
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International Journal of Clinical Monitoring and Computing, 1986
Since at least 1951 anesthesia journals have called for a more rigorous application of statistical methods in research reports. This appeal for statistical excellence actually applies to the researcher, to the clinician journal reader, and to the editor. Thirty five years ago the obligations of these three groups was made clear in an unsigned editorial
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Since at least 1951 anesthesia journals have called for a more rigorous application of statistical methods in research reports. This appeal for statistical excellence actually applies to the researcher, to the clinician journal reader, and to the editor. Thirty five years ago the obligations of these three groups was made clear in an unsigned editorial
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Statistical Methods in Immunology
The Journal of Immunology, 1951Summary and Conclusions The techniques employed in relation to statistical aspects of the experimental material presented in this report no doubt are unfamiliar to many immunologists. Actually, they are relatively simple but extremely useful tools provided by the statisticians.
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