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Medical statistics from scratch / David Bowers.

By: Bowers, David, 1938-.
Publisher: Chichester, Eng. : John Wiley, c2002Description: vi, 207 p. : ill. ; 25 cm.ISBN: 0470844744 (pbk.).Subject(s): Medical statistics | Medicine -- Research -- Statistical methodsDDC classification: 610.727
Contents:
Preface. - Introduction. - Pt. I: Some fundamental stuff. 1. First Things First: the Nature of Data. Pt. 2. Describing data. 2. Describing Data with Tables. 3. Describing Data with Charts. 4. Describing Data from Its Distributional Shape. 5. Describing Data with Numeric Summary Values. - Pt. 3. Getting the data. 6. Doing It Right First Time: Designing a Study. - Pt. IV. From little to large: statistical inference. 7. From Samples to Populations: Making Inferences. 8. Probability, Risk, and Odds. - Pt. 5. The informed guess: confidence interval estimation. 9. Estimating the Value of a Single Population Parameter. 10. Estimating the Difference between Two Population Parameters. 11. Estimating the Ratio of Two Population Parameters. - Pt. 6. Putting it to the test. 12. Testing Hypotheses about the Difference Between Two Population Parameters. 13. Testing Hypotheses about the Ratio of Two Population Parameters. 14. Testing Hypotheses about the Equality of Population Proportions. Pt. 7. Getting up close. 15. Measuring the Association between Two Variables. 16. Measuring the Agreement between Two Variables. Pt. 8. Getting into a relationship. 17. Straight-line Models: Linear Regression. 18. Curvy Models: Logistic Regression. - Appendix. Table of random numbers. - Bibliography. - Index. Appendix: Table of Random Numbers. Bibliography. Index.
Item type Current location Call number Copy number Status Notes Date due Barcode Remark
Main Collection TU External Storage-LCS
610.727 BOW (Browse shelf) 1 Available SBSxx,36200,03,GR 5000081428 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1
Main Collection Taylor's Library-TU
610.727 BOW (Browse shelf) 1 Available SBSxx,36100,03,GR 5000081418

Preface. - Introduction. - Pt. I: Some fundamental stuff. 1. First Things First: the Nature of Data. Pt. 2. Describing data. 2. Describing Data with Tables. 3. Describing Data with Charts. 4. Describing Data from Its Distributional Shape. 5. Describing Data with Numeric Summary Values. - Pt. 3. Getting the data. 6. Doing It Right First Time: Designing a Study. - Pt. IV. From little to large: statistical inference. 7. From Samples to Populations: Making Inferences. 8. Probability, Risk, and Odds. - Pt. 5. The informed guess: confidence interval estimation. 9. Estimating the Value of a Single Population Parameter. 10. Estimating the Difference between Two Population Parameters. 11. Estimating the Ratio of Two Population Parameters. - Pt. 6. Putting it to the test. 12. Testing Hypotheses about the Difference Between Two Population Parameters. 13. Testing Hypotheses about the Ratio of Two Population Parameters. 14. Testing Hypotheses about the Equality of Population Proportions. Pt. 7. Getting up close. 15. Measuring the Association between Two Variables. 16. Measuring the Agreement between Two Variables. Pt. 8. Getting into a relationship. 17. Straight-line Models: Linear Regression. 18. Curvy Models: Logistic Regression. - Appendix. Table of random numbers. - Bibliography. - Index. Appendix: Table of Random Numbers. Bibliography. Index.