- Medical statistics
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- Includes bibliography and index.
- Preface. Introduction. PART I: SOME FUNDAMENTAL STUFF. First Things First: the Nature of Data. PART II: DESCRIBING DATA. Describing Data with Tables. Describing Data with Charts. Describing Data from Its Distributional Shape. Describing Data with Numeric Summary Values. PART III: GETTING THE DATA. Doing It Right First Time: Designing a Study. PART IV: FROM LITTLE TO LARGE: STATISTICAL INFERENCE. From Samples to Populations: Making Inferences. Probability, Risk, and Odds. PART V: THE INFORMED GUESS: CONFIDENCE INTERVAL ESTIMATION. Estimating the Value of a Single Population Parameter. Estimating the Difference between Two Population Parameters. Estimating the Ratio of Two Population Parameters. PART VI: PUTTING IT TO THE TEST. Testing Hypotheses about the Difference Between Two Population Parameters. Testing Hypotheses about the Ratio of Two Population Parameters. Testing Hypotheses about the Equality of Population Proportions. PART VII: GETTING UP CLOSE. Measuring the Association between Two Variables. Measuring the Agreement between Two Variables. PART VIII: GETTING INTO A RELATIONSHIP. Straight-line Models: Linear Regression. Curvy Models: Logistic Regression. Appendix: Table of Random Numbers. Bibliography. Index.
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