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Books on the topic 'Categorical method'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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1

Heijden, Peter van der. Correspondence analysis on longitudinal categorical data. Leiden: DSWO Press, 1987.

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2

P. G. M. van der Heijden. Correspondence analysis of longitudinal categorical data. Leiden, The Netherlands: DSWO Press, 1987.

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3

Categorical Longitudinal Data: Log-linear panel, trend, and cohort analysis. Newbury Park, Calif: Sage Publications, 1990.

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4

Nel, L. D. Introduction to categorical methods. Ontario, Canada: Carleton University, 1992.

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5

Nel, L. D. Introduction to categorical methods. Ottawa: Carleton University, 1991.

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6

Cordier, J. M. Shape theory: Categorical methods of approximation. Chichester, West Sussex, England: Ellis Horwood, 1989.

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7

1947-, Porter T., ed. Shape theory: Categorical methods of approximation. Mineola, N.Y: Dover Publications, 2008.

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8

Yang, Keming, ed. Categorical Data Analysis. Los Angeles, USA: SAGE Publications Ltd, 2014.

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9

Institute, SAS, ed. Visualizing categorical data. Cary, NC: SAS Institute, 2001.

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10

Srivastava, Ashish, André Leroy, Ivo Herzog, and Pedro Guil Asensio, eds. Categorical, Homological and Combinatorial Methods in Algebra. Providence, Rhode Island: American Mathematical Society, 2020. http://dx.doi.org/10.1090/conm/751.

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11

The statistical analysis of categorical data. Berlin: Springer-Verlag, 1990.

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12

1965-, Walker Cindy M., ed. Categorical data analysis for the behavioral and social sciences. New York, NY: Routledge, 2011.

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13

Categorical data analysis for geographers and environmental scientists. London: Longman, 1985.

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14

Jiří, Močkoř, ed. Approximation theorems in commutative algebra: Classical and categorical methods. Dordrecht: Kluwer Academic Publishers, 1992.

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15

Ehrig, H., H. Herrlich, H. J. Kreowski, and G. Preuß, eds. Categorical Methods in Computer Science With Aspects from Topology. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51722-7.

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16

Long, J. Scott. Regression models for categorical dependent variables using Stata. College Station, Tex: Stata Press, 2003.

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17

Jeremy, Freese, ed. Regression models for categorical dependent variables using Stata. College Station, TX: Stata Corporation, 2003.

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18

Jeremy, Freese, ed. Regression models for categorical dependent variables using Stata. College Station, Tex: Stata Press, 2001.

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19

Jeremy, Freese, ed. Regression models for categorical dependent variables using Stata. 2nd ed. College Station, Tex: StataCorp LP, 2006.

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20

Roverato, Alberto. Graphical Models For Categorical Data: Cambridge Elements. Edited by Ernst C. Wit. Cambridge, UK: Cambridge University Press, 2017.

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21

Hoffmann, John P. Regression Models For Categorical, Count, And Related Variables: An Applied Approach. Oakland, California, USA: University of California Press, 2016.

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22

A, Croon Marcel, and Hagenaars Jacques A, eds. Marginal models: For dependent, clustered, and longitudinal categorical data. New York: Springer, 2009.

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23

Bayesian Models for Categorical Data. Wiley, 2005.

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24

Congdon, Peter. Bayesian Models for Categorical Data. Wiley & Sons, Incorporated, John, 2005.

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25

Congdon, Peter. Bayesian Models for Categorical Data. Wiley & Sons, Incorporated, John, 2007.

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26

Hagenaars, Jacques A. Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis. Sage Publications, Inc, 1994.

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27

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

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28

Woods, Carol M. Categorical Methods. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199934898.013.0004.

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29

Mastropieri, Margo A., and Thomas E. Scruggs. Cross Categorical Methods for Sped. Pearson Education, Limited, 2014.

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30

1957-, Blasius Jörg, and Greenacre Michael J, eds. Visualization of categorical data. San Diego: Academic Press, 1998.

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31

Statistical Methods for Categorical Data Analysis. Academic Press, 1999.

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32

Statistical Methods for Categorical Data Analysis. Academic Press, 2000.

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33

Srivastava, Ashish K., Andre Leroy, Ivo Herzog, and Pedro A. Guil Asensio. Categorical, Homological and Combinatorial Methods in Algebra. American Mathematical Society, 2020.

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34

(Editor), Alexander von Eye, and Clifford C. Clogg (Editor), eds. Categorical Variables in Developmental Research: Methods of Analysis. Academic Press, 1996.

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35

(Editor), Alexander von Eye, and Clifford C. Clogg (Editor), eds. Categorical Variables in Developmental Research: Methods of Analysis. Academic Press, 1996.

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36

von, Eye Alexander, and Clogg Clifford C, eds. Categorical variables in developmental research: Methods of analysis. San Diego: Academic Press, 1996.

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37

Regression Analysis for Categorical Moderators (Methodology In The Social Sciences). The Guilford Press, 2003.

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38

Wrigley, Neil. Categorical Data Analysis for Geographers and Environmental Scientists. The Blackburn Press, 2002.

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39

Alajbegovic, J. Approximation Theorems in Commutative Algebra: Classical and Categorical Methods. Springer, 2012.

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40

Hartmut, Ehrig, and International Workshop on Categorical Methods in Computer Science with Aspects from Topology (1988 : Berlin, Germany), eds. Categorical methods in computer science: With aspects from topology. Berlin: Springer-Verlag, 1989.

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41

P, Hoffmann John. Regression Models for Categorical, Count, and Related Variables: An Applied Approach. University of California Press, 2016.

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42

Alexander, Peter D. G., and Malachy O. Columb. Presentation and handling of data, descriptive and inferential statistics. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0028.

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Abstract:
The need for any doctor to comprehend, assimilate, analyse, and form an opinion on data cannot be overestimated. This chapter examines the presentation and handling of such data and its subsequent statistical analysis. It covers the organization and description of data, measures of central tendency such as mean, median, and mode, measures of dispersion (standard deviation), and the problems of missing data. Theoretical distributions, such as the Gaussian distribution, are examined and the possibility of data transformation discussed. Inferential statistics are used as a means of comparing groups, and the rationale and use of parametric and non-parametric tests and confidence intervals is outlined. The analysis of categorical variables using the chi-squared test and assessing the value of diagnostic tests using sensitivity, specificity, positive and negative predictive values, and a likelihood ratio are discussed. Measures of association are covered, namely linear regression, as is time-to-event analysis using the Kaplan–Meier method. Finally, the chapter discusses the statistical analysis used when comparing clinical measurements—the Bland and Altman method. Illustrative examples, relevant to the practice of anaesthesia, are used throughout and it is hoped that this will provide the reader with an outline of the methodologies employed and encourage further reading where necessary.
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43

Ark, L. Andries van der, Croon Marcel A, and Sijtsma K. 1955-, eds. New developments in categorical data analysis for the social and behavioral sciences. Mahwah, N.J: Lawrence Erlbaum, 2005.

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44

L. Andries van der Ark, Klaas Sijtsma, and Marcel A. Croon. New Developments in Categorical Data Analysis for the Social and Behavioral Sciences. Taylor & Francis Group, 2013.

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45

Jobson, J. D. Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods (Springer Texts in Statistics). Springer, 1994.

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46

Ehrig, H., H. Herrlich, and H. J. Krewski. Categorical Methods in Computer Science: With Aspects from Topology (Lecture Notes in Computer Science). Springer, 1990.

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47

(Editor), Hartmut Ehrig, Horst Herrlich (Editor), Hans-Jörg Kreowski (Editor), and Gerhard Preuß (Editor), eds. Categorical Methods in Computer Science: With Aspects from Topology (Lecture Notes in Computer Science). Springer, 1989.

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48

Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences: An introduction With Computer Illustrations. Lawrence Erlbaum, 1999.

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49

Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences: An introduction With Computer Illustrations. Lawrence Erlbaum, 1999.

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50

(Editor), Alexander Von Eye, and Alexander Von Eye (Editor), eds. Statistical Methods in Longitudinal Research: Time Series and Categorical Longitudinal Data (Statistical Modeling and Decision Science). Academic Pr, 1990.

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