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Books on the topic 'Table contingence'

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Published: 15 September 2021

Last updated: 10 February 2022

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1

Kateri, Maria. Contingency Table Analysis. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4811-4.

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2

Upton, Graham J. G. The analysis of cross-tabulated data. Ann Arbor, Mich: University Microfilms International, 1991.

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3

Everitt, Brian. The analysis of contingency tables. 2nd ed. London: Chapman & Hall, 1992.

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4

Fagerland, Morten W., Stian Lydersen, and Petter Laake. Statistical Analysis of Contingency Tables. Boca Raton, Florida : CRC Press, [2017]: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315374116.

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5

O'Brien, Larry. The statistical analysis of contingency table designs. Norwich: Order from Environmental Publications, University of East Anglia, 1989.

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6

Kreiner, Svend. Collapsibility of multidimensional contingency tables: Theorems, algorithms, and programs. [Copenhagen, Denmark]: Danish Institute for Educational Research, 1987.

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7

Wickens, Thomas D. Multiway contingency tables analysis for the social sciences. Hillsdale, N.J: Lawrence Erlbaum Associates, 1989.

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8

Rudas, Tamás. Odds ratios in the analysis of contingency tables. Thousand Oaks: Sage Publications, 1998.

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9

Rudas, Tamas. Odds Ratios in the Analysis of Contingency Tables. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Ltd, 1998. http://dx.doi.org/10.4135/9781412985338.

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10

Tuz, Heinz-Joachim. Die Analyse von Kontingenztafeln mit Assoziationsmassen bei Heterogenität der Schichten. Göttingen: Unitext, 1988.

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11

Yao, Qing. An exact analysis for several 2 x 2 contingency tables. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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12

Evans, Michael J. Latent class analysis of two-way contingency tables by Bayesian methods. Toronto: University of Toronto, Dept. of Statistics, 1988.

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13

Schriever, B. F. Order dependence. [Amsterdam, the Netherlands]: Centrum voor Wiskunde en Informatica, 1986.

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14

Steinborn, Dieter. Die Analyse nominal-skalierter Daten in Kontingenztafeln mit Assoziationsmassen unter besonderer Berücksichtigung von Datenvariationen. Frankfurt am Main: P. Lang, 1993.

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15

Deshpande, J. V. Statistical analysis of nonnormal data. New York: John Wiley & Sons, 1995.

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16

Orlóci, László. Conapack: Program for canonical analysis of classification tables. The Hague, Netherlands: SPB Academic, 1992.

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17

Fienberg, Stephen E. The analysis of cross-classified categorical data. 2nd ed. Cambridge, Mass: MIT Press, 1989.

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18

Janiczek, P. M. Computer programs for sun and moon illuminance: With contingent tables and diagrams. Washington, D.C: U.S. Naval Observatory, 1987.

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19

Janiczek, P. M. Computer Programs for Sun and Moon Iluminance With Contingent Tables and Diagrams. Washignton, D.C: United States Naval Observatory, 1987.

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20

Friendly, Michael. Interpreting higher order interactions in loglinear analysis: A picture is worth 1000 numbers. North York, Ont: Institute for Social Research, York University, 1991.

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21

Böhning, Dankmar. On minimizing chi-square distances under the hypothesis of homogeneity of independence for a two-way contingency table. Osnabrück: Fachbereich Psychologie, Universität Osnabrück, 1985.

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22

Harrison, Mark. 2 × 2 Contingency table. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198765875.003.0064.

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Abstract:

This chapter describes the 2 × 2 contingency table as it applies to Emergency Medicine, and in particular the Primary FRCEM examination. The chapter outlines the key details of sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratios for positive and negative results, and the 2 × 2 contingency table. This chapter is laid out exactly following the RCEM syllabus, to allow easy reference and consolidation of learning.

23

Fiedler, Klaus, and Florian Kutzner. Pseudocontingencies. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.14.

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Abstract:

In research on causal inference and in related paradigms (conditioning, cue learning, attribution), it has been traditionally taken for granted that the statistical contingency between cause and effect drives the cognitive inference process. However, while a contingency model implies a cognitive algorithm based on joint frequencies (i.e., the cell frequencies of a 2 x 2 contingency table), recent research on pseudocontingencies (PCs) suggests a different mental algorithm that is driven by base rates (i.e., the marginal frequencies of a 2 x 2 table). When the base rates of two variables are skewed in the same way, a positive contingency is inferred. In contrast, a negative contingency is inferred when base rates are skewed in opposite directions. The chapter describes PCs as a resilient cognitive illusion, as a proxy for inferring contingencies in the absence of solid information, and as a smart heuristic that affords valid inferences most of the time.

24

III, Sullivan Michael. Section 11. 2 - Contingency Table; Association. Pearson Education, Limited, 2004.

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25

Rayner, J. C. W., and D. J. Best. A Contingency Table Approach to Nonparametric Testing. Chapman & Hall/CRC, 2000.

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26

Fagerland, Morten, Stian Lydersen, and Petter Laake. Statistical Analysis of Contingency Tables. Taylor & Francis Group, 2017.

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27

Fagerland, Morten, Stian Lydersen, and Petter Laake. Statistical Analysis of Contingency Tables. Taylor & Francis Group, 2017.

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28

Fagerland, Morten, Stian Lydersen, and Petter Laake. Statistical Analysis of Contingency Tables. Taylor & Francis Group, 2020.

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29

Fleischer, Gerald A. Contingency Table Analysis for Road Safety Studies. Sijthoff & Noordhoff, 2011.

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30

Kateri, Maria. Contingency Table Analysis: Methods and Implementation Using R. Birkhäuser, 2016.

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31

Kateri, Maria. Contingency Table Analysis: Methods and Implementation Using R. Birkhäuser, 2014.

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32

Kateri, Maria. Contingency Table Analysis: Methods and Implementation Using R. Birkhäuser, 2014.

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33

Wickens, Thomas D., ed. Multiway Contingency Tables Analysis for the Social Sciences. Psychology Press, 2014. http://dx.doi.org/10.4324/9781315807850.

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34

Coppa & Avery Consultants., ed. Contingency planning and management: A bibliographical guide. Monticello, Ill: Vance Bibliographies, 1985.

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35

Millones, Oscar. Dual scaling in the framework of the association and correlation models under maximum likelihood. 1991.

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36

Yao, Qing. An exact analysis of several 2 x 2 contingency tables. 1991.

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37

Bolla, Marianna. Spectral Clustering and Biclustering: Learning Large Graphs and Contingency Tables. Wiley, 2013.

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38

Bolla, Marianna. Spectral Clustering and Biclustering: Learning Large Graphs and Contingency Tables. Wiley & Sons, Incorporated, John, 2013.

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39

Reshetar, Rosemary A. Evaluation of the weighted least squares method for the analysis of categorical data. 1991.

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40

Harrison, Mark. Risks. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198765875.003.0065.

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Abstract:

This chapter describes the measurement of risks as applied to Emergency Medicine, and in particular the Primary FRCEM examination. The chapter outlines the key details of the 2 × 2 contingency table, and measures of risks. This chapter is laid out exactly following the RCEM syllabus, to allow easy reference and consolidation of learning.

41

Fienberg, Stephen. The Analysis of Cross-Classified Categorical Data. 2nd ed. Springer, 2007.

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42

Rudas, Tamás. Odds Ratios in the Analysis of Contingency Tables (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 1997.

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43

Li, Kim-Hung. Hypothesis testing in multiple imputation: With emphasis on mixed-up frequencies in contingency tables. 1985.

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44

Stemmler, Mark. Person-Centered Methods: Configural Frequency Analysis and Other Methods for the Analysis of Contingency Tables. Springer, 2014.

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45

Eagle Life Insurance Company, Waterloo Place, London, established by act of Parliament, 1807: For the insurance of lives, contingent assurances and survivorship, endowments for children, for the purchase and sale of annuities and reversions, and to grant annuities .. [Montreal?: s.n.], 1986.

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46

Genethlialogia, or, The doctrine of nativities: Containing the whole art of directions and annual revolutions, whereby any man (even of an ordinary capacity) may be enabled to discover the most remarkable and occult accidents of his life ... : also tables for calculating the planets places for any time, either past, present, or to come : together with the doctrine of horarie questions, which (in the absence of a nativity) is sufficient to inform any one of all manner of contingencies necessary to be known. London: Printed for William Miller ..., M.DC.LXI [1661], 1985.

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