MARC details
| 000 -LEADER |
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| fixed length control field |
02911aam a2200229 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240319b2020 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030598914 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
610.21 |
| Item number |
E8S8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Etzioni, Ruth |
| 9 (RLIN) |
424329 |
| 245 ## - TITLE STATEMENT |
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| Title |
Statistics for health data science: an organic approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Springer |
| Date of publication, distribution, etc |
2020 |
| Place of publication, distribution, etc |
Cham |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxii, 222 p. : ill |
| Other physical details |
Includes index |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Title |
Springer texts in statistics |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science.<br/><br/>This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. <br/>This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms.<br/><br/><br/><br/>https://link.springer.com/book/10.1007/978-3-030-59889-1#about-this-book |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Analytic methods |
| 9 (RLIN) |
424723 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| 9 (RLIN) |
57333 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistical analysis |
| 9 (RLIN) |
70120 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Predictive modeling |
| 9 (RLIN) |
424724 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mandel, Micha |
| 9 (RLIN) |
424725 |
| Relator term |
Co-author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gulati, Roman |
| 9 (RLIN) |
424726 |
| Relator term |
Co-author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
