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Relevant bibliographies by topics / T-test (Statistics) – Research – Methodology / Books

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Books on the topic 'T-test (Statistics) – Research – Methodology'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Welfare, Australian Institute of Health and. Report on the pilot test of the community-based palliative care client data collection. Australian Institute of Health and Welfare, 2007.

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2

Multilevel statistical models. 3rd ed. E. Arnold, 2003.

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3

Harvey, Goldstein, ed. Multilevel statistical models. 2nd ed. E. Arnold, 1995.

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4

Multilevel statistical models. 4th ed. Wiley, 2010.

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5

The statistical evaluation of medical tests for classification and prediction. Oxford University Press, 2003.

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6

Multilevel models in educational and social research. C. Griffin, 1987.

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7

1840-1928, Hardy Thomas, ed. A KWIC concordance to Thomas Hardy's Tess of the d'Urbervilles. Garland Pub., 1989.

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8

Portia, File, Todman John B, and Todman John B, eds. Single-case and small-n experimental designs: A practical guide to randomization tests, second edition. 2nd ed. Routledge Academic, 2011.

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9

Lefkovits, Ivan. Limiting dilution analysis of cells of the immune system. 2nd ed. Oxford University Press, 1999.

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10

Brown, Steven R. Experimental design and analysis. Sage Publications, 1990.

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11

(Editor), Henk F. Moed, Wolfgang Glänzel (Editor), and Ulrich Schmoch (Editor), eds. Handbook of Quantitative Science and Technology Research: The Use of Publication and Patent Statistics in Studies of S&T Systems. Springer, 2004.

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12

Janik, Michał Robert. Application of Statistical Methods in Bariatric Surgery. Edited by Tomasz Rogula, Philip Schauer, and Tammy Fouse. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190608347.003.0005.

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It is very important to learn from surgical complications. For this reason, research is vital in surgical practice. Clinical epidemiology and statistics provide the methodology for analyzing data and drawing conclusions. Thus, every surgeon should understand the basics of clinical epidemiology in order to know how to improve his or her practice. This chapter provides a background in epidemiology and the basic statistical methods that are commonly use in bariatric surgical research. A thorough knowledge of the different types of clinical studies and commonly used statistical tests is imperative

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13

Pepe, Margaret Sullivan. Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press, 2004.

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14

Goldstein, Harvey. Multilevel Statistical Models. Wiley & Sons, Incorporated, John, 2011.

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15

Goldstein, Harvey. Multilevel Statistical Models. Wiley & Sons, Limited, John, 2010.

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16

Goldstein, Harvey. Multilevel Statistical Models. Wiley & Sons, Incorporated, John, 2011.

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17

Tang, Kezhen Linda. Robustness of four multivariate tests under variance-covariance heteroscedasticity. 1989.

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18

1939-, Rourke Byron P., ed. Methodological and biostatistical foundations of clinical neuropsychology. Swets & Zeitlinger, 1991.

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19

V, Cicchetti Domenic, and Rourke Byron P. 1939-, eds. Methodological and biostatistical foundations of clinical neuropsychology and medical and health disciplines. 2nd ed. Swets & Zeitlinger, 2004.

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20

Haig, Brian D. Conclusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0007.

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Chapter 7 takes stock of previous chapters by highlighting some of the most important general ideas that shape the character of the book. It is suggested that some of the major lessons learned from the debates on tests of statistical significance hold for research methods more generally and that they complement what is said in this concluding chapter. Eight points made in this book are discussed. They relate to the philosophy of quantitative methods; scientific realism resources; methodology; lack of a “best” scientific method; distinctions between data, phenomena, and theory; quantitative ver

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21

Sharif, Shamshuritawati, Sharipah Soaad Syed Yahaya, and Azizan Saaban. Scientific investigation on univariate quantitative methods. UUM Press, 2016. http://dx.doi.org/10.32890/9789670876757.

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The aim of this book is to deliver the reader with a book where they can discover a brief research idea in statistics and mathematics including a wide range of topics such as t-test, ANOVA, L-moment, centrality measure, Quintic Bézier Triangular Patches, and abelianess in Group Theory.The book is advisable for the readers to have some basic foundation on statistical inference and mathematical formulation prior to reading the chapters in this book.It is also suitable for researchers who want to get up to speed quickly on modern statistical and mathematical approach.

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22

Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R

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