A biostatistics toolbox for data analysis

"This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience"--

1.Statistical Distributions -- The Normal Probability Distribution -- The t-Distribution -- The Chi-Square Probability Distribution -- Illustration of the Pearson Chi-Square Statistic -- Simplest Case -- The f-Distribution -- The Uniform Probability Distribution -- The p-value -- A Few Relationships among Probability Distributions -- 2.Confidence Intervals -- Four Properties of an Estimated Confidence Interval -- Confidence Intervals for a Function of an Estimate -- Confidence Intervals Based on Estimates near Zero -- Exact Confidence Interval (Computer-Estimated) -- A Confidence Interval Based on an Estimated Median Value -- A Confidence Interval and a Confidence Band -- Details: A Confidence Interval and a Statistical Test -- 3.A Weighted Average -- A Basic Application -- Ratios and Weighted Averages -- Estimates Weighted by Reciprocal Variances -- A Puzzle -- Age-Adjusted Rates Using Weighted Averages -- Smoothing -- A Weighted Average Approach -- Example: Weighted Average Smoothing of Hodgkin's Disease Mortality Data -- 4.Two Discrete Probability Distributions -- Binomial Probability Distribution -- Two Applications of the Binomial Distribution -- The Geometric Probability Dis…