MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02520cam a2200217 a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781420099911 (hardcover : alk. paper) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1420099914 (hardcover : alk. paper) |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
614.407 |
| Item number |
TUY |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tu, Yu-Kang. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Statistical thinking in epidemiology / |
| Statement of responsibility, etc. |
Yu-Kang Tu, Mark S. Gilthorpe. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boca Raton, FL : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
c2012. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 219 p. : |
| Other physical details |
ill. ; |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Vector geometry of linear models for epidemiologists -- Path diagrams and directed acyclic graphs -- Mathematical coupling and regression to the mean in the relation between change and initial value -- Analysis of change in pre-/post-test studies -- Collinearity and multicollinearity -- Is reverse paradox a paradox? -- Testing statistical interaction -- Finding growth trajectories in lifecourse research -- Partial least squares regression for lifecourse research. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems in the use of correlation and regression in medical and epidemiological research: mathematical coupling, regression to the mean, collinearity, the reversal paradox, and statistical interaction. Statistical Thinking in Epidemiology is about thinking statistically when looking at problems in epidemiology. The authors focus on several methods and look at them in detail: specific examples in epidemiology illustrate how different model specifications can imply different causal relationships amongst variables, and model interpretation is undertaken with appropriate consideration of the context of implicit or explicit causal relationships. This book is intended for applied statisticians and epidemiologists, but can also be very useful for clinical and applied health researchers who want to have a better understanding of statistical thinking. Throughout the book, statistical software packages R and Stata are used for general statistical modeling, and Amos and Mplus are used for structural equation modeling"--Provided by publisher. |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Epidemiologic Methods. |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Statistics as Topic. |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Models, Statistical. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gilthorpe, Mark S. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Book |
