Links and resources
Do it yourself: We have assembled a number of links to - mainly introductory - texts and online tools from epidemiology and biometry focusing on clinical research.
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Links and resources
Links and resources
Epidemiology, Designing Research
- Book: Lehrbuch evidenzbasierte Medizin in Klinik und Praxis Library Oldenburg (source is in German) (Kunz, 2007)[ PDF PDF on Researchgate (source is in German) ]
- Series on systematic reviews www.ebm-netzwerk.de: Series on systematic reviews (source is in german)
Medical Statistics
- Statistics at Square One Online book on www.bmj.com (T.D.V. Swinscow, 2002) [ PDF open access download ]
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Basiswissen Medizinische Statistik
good for quick search
not for understanding connections and background (source is in German) (Weiß, 2013) [ PDF http://link.springer.com/: Springer Ebook, free access for University Members and students from the University Network or via VPN (source is in German) ]
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Journal of Physiology collections on statistic
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General Statistics (15 papers)
Papers on this collection:
- Do as you would be done by: write as you would wish to read
- Type I: families, planning and errors
- Not different is not the same as the same: how can we tell?
- Making do with what we have: use your bootstraps
- Analysis of variance: variably complex
- Categorized or continuous? Strength of an association–and linear regression
- Variation: use it or misuse it–replication and its variants
- Different tests for a difference: how do we do research?
- Statistics, probability, significance, likelihood: words mean what we define them to mean
- Presenting data: can you follow a recipe?
- How can we tell if frogs jump further?
- Show the data, don't conceal them
- Data interpretation: using probability
- Statistics: all together now, one step at a time
- When t-tests or Wilcoxon-Mann-Whitney tests won't do
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Explorations in Statistics (13 papers)
Papers on this collection:
- The log transformation
- The assumption of normality
- Statistical facets of reproducibility
- The analysis of change
- The analysis of ratios and normalized data
- Permutation methods
- Regression
- Correlation
- Power
- The bootstrap
- Confidence intervals
- Hypothesis tests and P values
- Standard deviations and standard errors
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Reporting Statistics (17 papers)
Papers on this collection:
- Small steps to help improve the caliber of the reporting of statistics
- Inadequate reporting of statistical results
- Explorations in statistics: confidence intervals
- Explorations in statistics: hypothesis tests and P values
- Reviewing scientific manuscripts: how much statistical knowledge should a reviewer really know?
- Statistics, authors, and reviewers: the heart of the matter
- The ongoing discussion regarding standard deviation and standard error
- Reply to B. Kay
- Explorations in statistics: standard deviations and standard errors
- Guidelines for reporting statistics in journals published by the American Physiological Society: the sequel
- The need for accurate statistical reporting. A commentary on “Guidelines for reporting statistics in journals published by the American Physiological Society: the sequel”
- Statistics: not a confidence trick. A commentary on “Guidelines for reporting statistics in journals published by the American Physiological Society: the sequel”
- How should we achieve high-quality reporting of statistics in scientific journals? A commentary on “Guidelines for reporting statistics in journals published by the American Physiological Society”
- Sustained efforts should promote statistics literacy in physiology. Commentary on “Guidelines for reporting statistics in journals published by the American Physiological Society: the sequel”
- Last Word on Perspectives “Guidelines for reporting statistics in journals published by the American Physiological Society: the sequel”
- The proof is not in the P value
- Guidelines for reporting statistics in journals published by the American Physiological Society
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General Statistics (15 papers)
Papers on this collection:
Software
- endnote http://endnote.com/ Literature origination tool / publisher homepage [ free download free download for UOL members and students from the UOL network or via VPN ]
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The R Project for Statistical Computing
R is an open source project. It is in constant change as every user can develop new packages and share them with the community. Therefor new methods are fast implicated. R standalone has no good usability, the use of an editor recommended
- RStudio (recommended Editor for R projects) RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace. Learn More about RStudio features.
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R++ (beta phase - September 2018)
R++ is in development, a beta version will be available on mid September 2018
R++, the Next Step is a R-based high performance statistical analysis software. It contains a full range of tools and the last technological innovations. And because statisticians are not always IT specialists, it is delivered with a simple and innovative Interface.
- SPSS Statistical Package for the Social Sciences (SPSS) Works inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and many more. Create publication ready charts, tables, and decision trees in one tool. Use a simple drag and drop interface to access a wide range of capabilities and work across multiple data sources. [ free download free download for UOL members and students from the UOL network or via VPN ]
- SAS SAS is the gold standard for medication and approval studies [ SAS University Edition SAS University Edition is a no-cost, packaged offering of core SAS software. It is available to students, professors, academic researchers and lifelong learners. Once you download it to your PC, Mac, or Linux workstation, SAS works through virtualization software via your browser in standalone mode. ]