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Suggested reading |
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Return to course |
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| Part A: EpiData Manager and EpiData EntryClient |
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Rieder H L, Lauritsen J M. Quality assurance of data: ensuring that numbers reflect operational definitions and contain real measurements. [State of the Art Series. Operational Research. Number 3 in the series]. Int J Tuberc Lung Dis 2011;15:296-304. |
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| Part B: EpiData Analysis |
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Altman D G, Machin D, Bryant T N, Gardner M J. Statistics with confidence. 2nd edition. 2 ed. Bristol: BMJ Group; 2000. |
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| Part C: Operations research |
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Katamba A, Laticevschi D, Rieder H L. Efficiency of a third serial sputum smear examination in the diagnosis of tuberculosis in Moldova and Uganda. Int J Tuberc Lung Dis 2007;11:659-64. |
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Mabaera B, Naranbat N, Dhliwayo P, Rieder H L. Efficiency of serial smear examinations in excluding sputum smear-positive tuberculosis. Int J Tuberc Lung Dis 2006;10:1030-5. |
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| Part D: More on EpiData software |
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Altman D G, Bland J M. Time to event (survival) data. (Statistics notes). BMJ 1998;317:468-9. |
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Benneyan J C, Lloyd R C, Plsek P E. Statistical process control as a tool for research and healthcare improvement. Qual Saf Health Care 2003;12:458-64. |
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Bland J M, Altman D G. Survival probabilities (the Kaplan-Meier method). (Statistics notes). BMJ 1998;317:1572. |
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Fink S A, Brown R S, Jr. Survival analysis. Gastroenterol Hepatol 2006;2:380-3. |
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Kaplan E L, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Ass 1958;53:457-81. |
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Mabaera B, Lauritsen J M, Katamba A, Laticevschi D, Naranbat N, Rieder H L. Making pragmatic sense of data in the tuberculosis laboratory register. Int J Tuberc Lung Dis 2008;12:294-300. |
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| Part E: Beyond EpiData Analysis using R |
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Aragón T J. Applied epidemiology using R. University of California, Berkeley School of Public Health, and the San Francisco Department of Public Health. Version 14 October 2013, available from http://medepi.com/courses/applied-epi-using-r/. |
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Aung K J M, Van Deun A, Declercq E, Sarker M R, Das P K, Hossain M A, Rieder H L. Successful '9-month Bangladesh regimen' for multidrug-resistant tuberculosis among over 500 consecutive patients. Int J Tuberc Lung Dis 2014;18:1180-7. |
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Lumley T and the R Core Development Team and UW Department of Biostatistics. R fundamentals and programming techniques. Version Birmingham, 2006-2-27/28, available from http://faculty.washington.edu/tlumley/Rcourse/R-fundamentals.pdf. |
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Manning C. Logistic regression (with R). Version 4 November 2007, available from http://nlp.stanford.edu/~manning/courses/ling289/logistic.pdf. |
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Myatt M. Open source solutions – R. Nordic School of Public Health and University of Tartu. Computer software in epidemiology / statistical practice in epidemiology. Version 16 May 2005, available from http://www.brixtonhealth.com. |
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Therneau T M. Package ‘survival’. Version 2.37-7, July 2, 2014, available from http://cran.r-project.org/web/packages/survival/index.html. |
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Tableman M. Survival analysis using S/R. Unterlagen für den Weiterbildungsgang in angewandter Statistik an der ETH Zürich. [Note: despite the German subtitle, the document is entirely in English, except for the subtitle which refers to the course at the Swiss Federal Institute of Technology in Zurich]. Version August-September 2012. It is an excerpt from the book Survival Analysis Using S: Analysis of Time-to-Event Data by Mara Tableman and Jong Sung Kim, published by Chapman & Hall/CRC, Boca Raton, 2004. |
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Venables W N, Smith D M and the R Core Team. An introduction to R. Notes on R: a programming environment for data analysis and graphics, Version 3.1.0 (2014-04-10), available from: http://cran.r-project.org/doc/manuals/R-intro.pdf. |
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