Primer of biostatistics
The concept of this book is good-cut to the chase and give lots of relevent examples. However, the book has innumerable typos which can make it very dificult to follow the text. Some sections are just incomprehensible such as the section on power calculations for the chi square test. Most of the exercises at the end of the chapter are heavy on arithmetic and light on conceptual issues. Often the answers to the exercises are wrong. All these typos are really unacceptable for a fifth edition.
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How to Summarize Data 1
How to Test for Differences between Groups
The f Test
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95 percent confidence analysis of variance analyze artery aspirin associated average cancer cardiac output Chapter clinical trials CM CM CM compared compute conclude confidence interval control group correlation coefficient critical value defined degrees of freedom dependent variable detect difference disease diuretic drug estimate example experiment experimental subjects Figure halothane heights increases investigator joggers journals line of means Martians mean and standard measured methods mL/day morphine multiple comparisons normal distribution null hypothesis observed obtain parameter patients percent confidence interval percentile placebo Plutonians population mean population variance possible values Prob problem procedure proportion quantify random samples rank sums regression line reject the null relative risk runners salbutamol sample means sample sizes samples were drawn secondhand smoke shows standard deviation standard error sum of squares survival curve test statistic therapy tion treatment effect treatment groups Type I error value of F Yates correction