Principles of biostatistics
著者
書誌事項
Principles of biostatistics
Duxbury Press, c1993
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注記
System requirements for computer disk: IBM PC; DOS; Stata statistical package. Data sets on disk in both ASCII and Stata files
Includes bibliographical references and index
内容説明・目次
- 巻冊次
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ISBN 9780534140649
内容説明
This introduction to biostatistics offers health science students with limited mathematics and statistics backgrounds a conceptually-based introduction to statistical procedures that will prepare them to conduct or evaluate research in biological and health sciences. Students are encouraged to use common sense rather than rigorous theory to gain an understanding of statistics. The authors rely heavily on graphics to illustrate material and incorporate the use of computers to facilitate doing computations so students can concentrate on concepts. Quantitative principles discussed include descriptive statistics, life tables, probability, hypothesis testing, parameter estimation, regression (linear and logistic) correlation, survival analysis and analysis of variance more.
目次
- Introduction
- Data presentation
- Numerical summary measures
- Rates and standardization
- Life tables
- Probability
- Theoretical probability distributions
- Sampling distribution of the mean
- Confidence intervals
- Hypothesis testing
- Comparison of two means
- Analysis of variance
- Nonparametric methods
- Inference on proportions
- Contingency tables
- Multiple 2 x 2 tables
- Correlation
- Simple linear regression
- Multiple regression
- Logistic regression
- Survival analysis
- Sampling theory
- Glossary
- Index.
- 巻冊次
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ISBN 9780534140694
内容説明
This introduction to biostatistics offers health science studentsQwith limited math and statistics backgroundsQa conceptually-based introduction to statistical procedures that will prepare them to conduct or evaluate research in biological and health sciences. Enthusiasm for the material will quickly spread to the reader from the author. The author's appealing writing style makes users of the text Rforget it is math.S Students are encouraged to use common sense rather than rigorous theory to gain an understanding of statistics..The authors rely heavily on graphics to illustrate material and incorporate the use of computers to facilitate doing computations so students can concentrate on concepts. Quantitative principles discussed include descriptive statistics, life tables, probability, hypothesis testing, parameter estimation, regression (linear and logistic) correlation, survival analysis, analysis of variance, and more.
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