Statistics at square two : understanding modern statistical applications in medicine / Michael J. Campbell.

Format:

Book

Author/Creator:

Campbell, Michael J., 1950-

Language:

English

Subjects (All):

Medical statistics.

Statistics.

Physical Description:

1 online resource (146 p.)

Edition:

2nd ed.

Place of Publication:

Malden, Mass. ; Oxford : BMJ Books/Blackwell, 2006.

Language Note:

English

Summary:

Updated companion volume to the ever popular Statistics at Square One (SS1) Statistics at Square Two, Second Edition, helps you evaluate the many statistical methods in current use. Going beyond the basics of SS1, it covers sophisticated methods and highlights misunderstandings. Easy to read, it includes annotated computer outputs and keeps formulas to a minimum. Worked examples of methods such as multiple and logical regression reinforce the text. Each chapter concludes with exercises to stimulate learning. All those who need to understand stati

Contents:

Statistics at Square Two: Understanding modern statistical applications in medicine; Contents; Preface; Chapter 1: Models, tests and data; 1.1 Basics; 1.2 Models; 1.3 Types of data; 1.4 Significance tests; 1.5 Confidence intervals; 1.6 Statistical tests using models; 1.7 Model fitting and analysis: confirmatory and exploratory analyses; 1.8 Computer-intensive methods; 1.9 Bayesian methods; 1.10 Missing values; 1.11 Reporting statistical results in the literature; 1.12 Reading statistics in the literature; Chapter 2: Multiple linear regression; 2.1 The model; 2.2 Uses of multiple regression

2.3 Two independent variables 2.4 Interpreting a computer output; 2.5 Multiple regression in action; 2.6 Assumptions underlying the models; 2.7 Model sensitivity; 2.8 Stepwise regression; 2.9 Reporting the results of a multiple regression; 2.10 Reading the results of a multiple regression; Chapter 3: Logistic regression; 3.1 The model; 3.2 Uses of logistic regression; 3.3 Interpreting a computer output: grouped analysis; 3.4 Logistic regression in action; 3.5 Model checking; 3.6 Interpreting computer output: ungrouped analysis; 3.7 Case-control studies

3.8 Interpreting computer output: unmatched case-control study 3.9 Matched case-control studies; 3.10 Interpreting computer output: matched case-control study; 3.11 Conditional logistic regression in action; 3.12 Reporting the results of logistic regression; 3.13 Reading about logistic regression; Chapter 4: Survival analysis; 4.1 Introduction; 4.2 The model; 4.3 Uses of Cox regression; 4.4 Interpreting a computer output; 4.5 Survival analysis in action; 4.6 Interpretation of the model; 4.7 Generalisations of the model; 4.8 Model checking; 4.9 Reporting the results of a survival analysis

4.10 Reading about the results of a survival analysis Chapter 5: Random effects models; 5.1 Introduction; 5.2 Models for random effects; 5.3 Random vs fixed effects; 5.4 Use of random effects models; 5.5 Random effects models in action; 5.6 Ordinary least squares at the group level; 5.7 Computer analysis; 5.8 Model checking; 5.9 Reporting the results of random effects analysis; 5.10 Reading about the results of random effects analysis; Chapter 6: Other models; 6.1 Poisson regression; 6.2 Ordinal regression; 6.3 Time series regression

6.4 Reporting Poisson, ordinal or time series regression in the literature 6.5 Reading about the results of Poisson, ordinal or time series regression in the literature; Appendix 1: Exponentials and logarithms; A1.1 Logarithms; Appendix 2: Maximum likelihood and significance tests; A2.1 Binomial models and likelihood; A2.2 Poisson model; A2.3 Normal model; A2.4 Hypothesis testing: LR test; A2.5 Wald test; A2.6 Score test; A2.7 Which method to choose?; A2.8 Confidence intervals; Appendix 3: Bootstrapping and variance robust standard errors; A3.1 Computer analysis; A3.2 The bootstrap in action

A3.3 Robust or sandwich estimate SE

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on metadata supplied by the publisher and other sources.

ISBN:

9786611320492

9781118709801

1118709802

9781281320490

1281320498

9780470755839

0470755830

9780470755020

0470755024

OCLC:

437218709