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Essential Medical Statistics, Second Edition |
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Comment from the Stata technical groupThis text gives an excellent overview of the basics of medical statistics and achieves a good balance between classic methodology, such as contingency tables, and more sophisticated models, such as Cox regression. As personal computers become more powerful, the use of complex models in leading medical journals is becoming more prevalent, and the second edition of this text follows this shift by focusing more on these models. A very nice section on basic meta-analysis is also included. Covered in the text are the basics of normal-based tests and inference, including linear regression, contingency tables and logistic regression, longitudinal analysis, Poisson regression, survival analysis (including the Cox model), likelihood theory, meta-analysis, Bayesian statistics, basic design, sample-size calculations, and measurement error. |
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Table of contentsView table of contents >> |
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