MARC details
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| fixed length control field |
04333nam a22003617a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
CUTN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20210708162947.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210708b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780387781662 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0387781668 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0387781676 (ebk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780387781679 (ebk.) |
| 041 ## - LANGUAGE CODE |
|---|
| Language |
English |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
628.53 |
| Edition number |
22 |
| Item number |
PEN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Peng, Roger D., |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Statistical methods for environmental epidemiology with R : |
| Remainder of title |
a case study in air pollution and health / |
| Statement of responsibility, etc |
Roger D. Peng, Francesca Dominici. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York ; |
| -- |
London : |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
c2008. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
ix, 144 p. : |
| Other physical details |
ill., 1 map ; |
| Dimensions |
23.5 cm. |
| 440 #0 - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Use R! |
| 500 ## - GENERAL NOTE |
|---|
| General note |
R.C.C<br/>PBK |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
1. Studies of air pollution and health. - |
| -- |
2. Introduction to R and air pollution and health data. - |
| -- |
3. Reproducible research tools. - |
| -- |
4. Statistical issues in estimating the health effects of spatial-temporal environmental exposures. - |
| -- |
5. Exploratory data analyses. - |
| -- |
6. Statistical models. - |
| -- |
7. Pooling risks across locations and quantifying spatial heterogeneity. - |
| -- |
8. A reproducible seasonal analysis of Particulate Matter and mortaility in the U.S. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Advances in statistical methodology and computing have played an important role in allowing researchers to more accurately assess the health effects of ambient air pollution. The methods and software developed in this area are applicable to a wide array of problems in environmental epidemiology. This book provides an overview of the methods used for investigating the health effects of air pollution and gives examples and case studies in R which demonstrate the application of those methods to real data. The book will be useful to statisticians, epidemiologists, and graduate students working in the area of air pollution and health and others analyzing similar data. The authors describe the different existing approaches to statistical modeling and cover basic aspects of analyzing and understanding air pollution and health data. The case studies in each chapter demonstrate how to use R to apply and interpret different statistical models and to explore the effects of potential confounding factors. A working knowledge of R and regression modeling is assumed. In-depth knowledge of R programming is not required to understand and run the examples. Researchers in this area will find the book useful as a ̀̀live'' reference. Software for all of the analyses in the book is downloadable from the web and is available under a Free Software license. The reader is free to run the examples in the book and modify the code to suit their needs. In addition to providing the software for developing the statistical models, the authors provide the entire database from the National Morbidity Mortality and Air Pollution Study (NMMAPS) in a convenient R package. With the database, readers can run the examples and experiment with their own methods and ideas. Roger D. Peng is an Assistant Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is a prominent researcher in the areas of air pollution and health risk assessment and statistical methods for spatial and temporal data. Dr. Peng is the author of numerous R packages and is a frequent contributor to the R mailing lists. Francesca Dominici is a Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. She has published extensively on hierarchical and semiparametric modeling and has been the leader of major national studies of the health effects of air pollution. She has also participated in numerous panels conducted by the National Academy of Science assessing the health effects of environmental exposures and has consulted for the US Environmental Protection Agency's Clean Air Act Advisory Board. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Air |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Environmental health. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) |
|---|
| Department Name |
Department of Epidemiology |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dominici, Francesca. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
General Books |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (p.[133]-142) and index. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| General subdivision |
Pollution |
| -- |
Mathematical models. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
epcn |
| f |
20 |
| g |
y-gencatlg |
