7.7 – Chapter 7 – References

References and suggested readings

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Altman, D. G. (1998). Confidence intervals for the number needed to treat. BMJ, 317(7168), 1309-1312.

Bender, R. (2001). Calculating confidence intervals for the number needed to treat. Controlled clinical trials, 22(2), 102-110.

Berry DA (2008) The science of doping. Nature 454(7205):692-3.

Bewick V, Cheek L, Ball J (2003) Statistics review 8: Qualitative data – tests of association. Critical Care 8:46-53.

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Gigerenzer G (2002) Calculated Risks: How to Know When Numbers Deceive You. Simon & Schuster.

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Gray MW (2002) Cramming for court: teaching statistics to litigators. ICOTS6: The Sixth International Conference on Teaching Statistics

Greene, W. H. (2003). Econometric analysis (5th ed.). Prentice Hall.

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Imperiale, T. F., Ransohoff, D. F., Itzkowitz, S. H., Levin, T. R., Lavin, P., Lidgard, G. P., Ahlquist, D. A., & Berger, B. M. (2014). Multitarget stool DNA testing for colorectal-cancer screening. New England Journal of Medicine, 370(14), 1287–1297.

Johnson, K. M. (2017). Using Bayes’ rule in diagnostic testing: a graphical explanation. Diagnosis, 4(3), 159-167.

Krebs J R (2014) Risk, uncertainty and regulation. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 369: 4842-52.

Leucuta, D. C., Călinici, T., Drugan, T., Istrate, D., & Achimas, A. (2014). Graphical User Interface Extension in R Commander for Evidence Based Medicine Indicators. Applied Medical Informatics., 35(3), 11-16.

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Michie, D., Spiegelhalter, D. J., Taylor, C. C., & Campbell, J. (1995). Machine learning, neural and statistical classification. Ellis Horwood.

Park, D. I., Ryu, S., Kim, Y. H., Lee, S. H., Lee, C. K., Eun, C. S., & Han, D. S. (2010). Comparison of guaiac-based and quantitative immunochemical fecal occult blood testing in a population at average risk undergoing colorectal cancer screening. American Journal of Gastroenterology, 105(9), 2017-2025.

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Skorupski, W. P., & Wainer, H. (2015). The Bayesian flip: Correcting the prosecutor’s fallacy. Significance, 12(4), 16–20.

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Tamhane, A. R., Westfall, A. O., Burkholder, G. A., & Cutter, G. R. (2016). Prevalence odds ratio versus prevalence ratio: choice comes with consequences. Statistics in medicine, 35(30), 5730-5735.

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Chapter 7 contents

6.12 – Chapter 6 – References

References and suggested readings

Ainsworth, C. (2015). Sex redefined. Nature, 518(7539), 288–291.

Aschengrau, A., & Seage, G. R. (2003) Essentials of Epidemiology in Public Health, second edition. Sudbury, Massachusetts: Jones and Bartlett Publishers.

Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533(7604).

Baker D, Lidster K, Sottomayor A, Amor S. (2014) Two years later: Journals are not yet enforcing the ARRIVE Guidelines on reporting standards for pre-clinical animal studies. PLoS Biology 12:e1001756

Bergemann, T. L., & Wilson, J. (2011). Proportion statistics to detect differentially expressed genes: A comparison with log-ratio statistics. BMC Bioinformatics, 12(1), 228.

Bewick V, Cheek L, Ball J (2002) Statistics review 8: Qualitative data – tests of association. Clinical Care 8:46-58.

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Bumpus, H. C. (1899). The elimination of the unfit as illustrated by the introduced sparrow, Passer domesticus. Biology Lectures delivered at the Marine Biology Laboratory, Woods Hole, 1896-7, 209-226 (link to volume Google Books).

Cao, J., & Zhang, S. (2014). A Bayesian extension of the hypergeometric test for functional enrichment analysis. Biometrics, 70(1), 84-94.

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Chapter 6 contents

1.2 – References

Chapter 1 references and suggested readings

Fox, J (2005) The R Commander: A basic-statistics graphical user interface to R. Journal of Statistical Software 14(9) https://doi.org/10.18637/jss.v014.i09 .

Fox, J (2016). Using the R Commander: A Point-and-click Interface for R. Chapman and Hall/CRC.

Laurillard, D (2014). Five myths about MOOCs. The Times Higher Education https://www.timeshighereducation.com/comment/opinion/five-myths-about-moocs/2010480.article .

Posit team (2024). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL https://posit.co/.

R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

Note: To get the citation information for R Studio, run the command RStudio.Version() in your version of R Studio. Similarly, to cite R, run the command citation() in R.

Venables, W. N., Smith, D. M., & R Development Core Team. (2009). An introduction to R. Notes on R: A Programming Environment for Data Analysis and Graphics Version 4.3.3 (2024-02-29) https://cran.r-project.org/doc/manuals/R-intro.pdf 


Chapter 1 contents

5.7 – Chapter 5 – References

Chapter 5 references and suggested readings

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4.11 – Chapter 4 – References

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Chapter 2 contents