| Description |
xi, 214 pages : illustrations ; 25 cm |
| Series |
Oxford science publications |
|
Oxford science publications.
|
| Contents |
1. Basic concepts. 1.1. Variables. 1.2. Probability. 1.3. Tables and plots. 1.4. Probability laws. 1.5. Multinomial distribution. 1.6. Several variables. 1.7. Protocols and study designs -- 2. Categorical data. 2.1. Measures of dependence. 2.2. Binary response variables. 2.3. Polytomous response variables -- 3. Inference. 3.1. Samples and experiments. 3.2. Likelihood. 3.3. Calibrating the likelihood. 3.4. Goodness of fit. 3.5. Sample size calculation -- 4. Probability distributions. 4.1. A general model. 4.2. Distributions for counts. 4.3. Gaussian distributions. 4.4. Duration distributions. 4.5. Exponential family -- 5. Normal regression and ANOVA. 5.1. Generalized linear models. 5.2. Linear regression. 5.3. Analysis of variance. 5.4. Analysis of covariance. 5.5. Correlation. 5.6. Sample size calculation -- 6. Dependent responses. 6.1. Repeated measurements. 6.2. Point processes and Markov chains. 6.3. Autoregression. 6.4. Clustering. 6.5. Life tables -- 7. Where to now? |
| Summary |
Jim Lindsey has based this book on his introductory courses where the central theme is the use of statistical models as a way of describing the structure of data. The basic building block is the probability distribution, observed as a histogram. A model describes how such a distribution changes form in different sub-groups of a population. Moreover, the form of the distribution may itself indicate how the data were generated. Inference, from a sample to the population, centres on developing an understanding of how to interpret a likelihood function. A wide range of examples and exercises for the medical, biological, and social sciences are included |
|
Introductory Statistics: A Modelling Approach has been written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyse the resulting data. The aim therefore is to provide an understanding of the basic principles such as the probability distribution and the likelihood function, while at the same time giving advice at a practical level on how to design a study, collect data, record observations accurately, detect errors, and interpret the results |
| Analysis |
Statistics |
|
Statistics |
| Bibliography |
Includes bibliographical references (page [205]) and index |
| Subject |
Social sciences -- Statistical methods.
|
|
Social sciences -- Statistics.
|
| LC no. |
95013308 |
| ISBN |
0198523459 (paperback) |
|
0198523467 (hbk.) |
|
