Primer of Biostatistics
Don't be afraid of biostatistics anymore! The new fourth edition of Primer of Biostatistics delivers this challenging topic in an easy-to-read, enjoyable format that assumes no prior knowledge of the subject. In no time, you'll understand test selection and be able to evaluate biomedical statistics critically and knowledgeably. You'll start with a review of the basics, including analysis of variance and the t test, then advance to a review of multiple comparison testing and hypothesis testing and estimation of treatment effects. Examples from the literature illustrate key concepts throughout. The fourth edition features new information on survival curves, more discussions of multiple comparison procedures, including the Tukey test, techniques for comparing regression lines, and the Bland-Altman test.
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How to Summarize Data
How to Make Estimates from a Limited Sample
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95 percent confidence analysis of variance analyze associated biostatistics Bonferroni cancer cardiac output Chap CN CN CN compute conclude confidence interval contingency table control group correlation coefficient critical value define degrees of freedom dependent variable detect difference discussed disease diuretic drug estimate experiment experimental subjects Figure halothane heart heights Hydralazine investigators joggers line of means mean and standard measured mL/day morphine multiple comparisons number of individuals observed obtain OOOOOOOOOO OOOOOOOOOO OOOOOOOOOO parameter patients percent confidence interval percentile physicians placebo Plutonians population mean population variance possible values Prob problem proportion quantify random samples rank sums regression line reject the hypothesis runners sample means sample size samples were drawn shows smoking SNK test squared deviations standard deviation standard error sum of squares survival curve test statistic therapy tion treatment effect treatment groups Type I error value of F