Statistical Methods for the Analysis of Repeated Measurements:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2002
|
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. This book will be of interest to * Statisticians in academics, industry, and research organizations * Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit * Graduate students in statistics and biostatistics. The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985). The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems. The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System. Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA. |
| Beschreibung: | 1 Online-Ressource (XXIV, 416 p) |
| ISBN: | 9780387215730 9780387953700 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/b97287 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042418919 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150317s2002 |||| o||u| ||||||eng d | ||
| 020 | |a 9780387215730 |c Online |9 978-0-387-21573-0 | ||
| 020 | |a 9780387953700 |c Print |9 978-0-387-95370-0 | ||
| 024 | 7 | |a 10.1007/b97287 |2 doi | |
| 035 | |a (OCoLC)849977142 | ||
| 035 | |a (DE-599)BVBBV042418919 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-703 |a DE-91 |a DE-634 | ||
| 082 | 0 | |a 519.5 |2 23 | |
| 084 | |a MAT 000 |2 stub | ||
| 100 | 1 | |a Davis, Charles S. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistical Methods for the Analysis of Repeated Measurements |c by Charles S. Davis |
| 264 | 1 | |a New York, NY |b Springer New York |c 2002 | |
| 300 | |a 1 Online-Ressource (XXIV, 416 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Springer Texts in Statistics |x 1431-875X | |
| 500 | |a This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. This book will be of interest to * Statisticians in academics, industry, and research organizations * Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit * Graduate students in statistics and biostatistics. The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985). The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems. The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System. Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA. | ||
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Mathematical statistics | |
| 650 | 4 | |a Statistical Theory and Methods | |
| 650 | 4 | |a Statistics for Life Sciences, Medicine, Health Sciences | |
| 650 | 4 | |a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | |
| 650 | 4 | |a Statistik | |
| 650 | 0 | 7 | |a Versuchsplanung |0 (DE-588)4078859-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Multivariate Analyse |0 (DE-588)4040708-1 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Multivariate Analyse |0 (DE-588)4040708-1 |D s |
| 689 | 0 | 1 | |a Versuchsplanung |0 (DE-588)4078859-3 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/b97287 |x Verlag |3 Volltext |
| 912 | |a ZDB-2-SMA |a ZDB-2-BAE | ||
| 940 | 1 | |q ZDB-2-SMA_Archive | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027854336 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804153088954597376 |
|---|---|
| any_adam_object | |
| author | Davis, Charles S. |
| author_facet | Davis, Charles S. |
| author_role | aut |
| author_sort | Davis, Charles S. |
| author_variant | c s d cs csd |
| building | Verbundindex |
| bvnumber | BV042418919 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)849977142 (DE-599)BVBBV042418919 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/b97287 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03817nmm a2200505zc 4500</leader><controlfield tag="001">BV042418919</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s2002 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780387215730</subfield><subfield code="c">Online</subfield><subfield code="9">978-0-387-21573-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780387953700</subfield><subfield code="c">Print</subfield><subfield code="9">978-0-387-95370-0</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/b97287</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)849977142</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042418919</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Davis, Charles S.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical Methods for the Analysis of Repeated Measurements</subfield><subfield code="c">by Charles S. Davis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">2002</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXIV, 416 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Springer Texts in Statistics</subfield><subfield code="x">1431-875X</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. This book will be of interest to * Statisticians in academics, industry, and research organizations * Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit * Graduate students in statistics and biostatistics. The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985). The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems. The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System. Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Theory and Methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics for Life Sciences, Medicine, Health Sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Versuchsplanung</subfield><subfield code="0">(DE-588)4078859-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Multivariate Analyse</subfield><subfield code="0">(DE-588)4040708-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Multivariate Analyse</subfield><subfield code="0">(DE-588)4040708-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Versuchsplanung</subfield><subfield code="0">(DE-588)4078859-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/b97287</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027854336</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
| id | DE-604.BV042418919 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:03Z |
| institution | BVB |
| isbn | 9780387215730 9780387953700 |
| issn | 1431-875X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027854336 |
| oclc_num | 849977142 |
| open_access_boolean | |
| owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
| owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
| physical | 1 Online-Ressource (XXIV, 416 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Springer New York |
| record_format | marc |
| series2 | Springer Texts in Statistics |
| spelling | Davis, Charles S. Verfasser aut Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis New York, NY Springer New York 2002 1 Online-Ressource (XXIV, 416 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. This book will be of interest to * Statisticians in academics, industry, and research organizations * Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit * Graduate students in statistics and biostatistics. The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985). The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems. The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System. Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA. Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 s Versuchsplanung (DE-588)4078859-3 s 1\p DE-604 https://doi.org/10.1007/b97287 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Davis, Charles S. Statistical Methods for the Analysis of Repeated Measurements Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Versuchsplanung (DE-588)4078859-3 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4078859-3 (DE-588)4040708-1 |
| title | Statistical Methods for the Analysis of Repeated Measurements |
| title_auth | Statistical Methods for the Analysis of Repeated Measurements |
| title_exact_search | Statistical Methods for the Analysis of Repeated Measurements |
| title_full | Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis |
| title_fullStr | Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis |
| title_full_unstemmed | Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis |
| title_short | Statistical Methods for the Analysis of Repeated Measurements |
| title_sort | statistical methods for the analysis of repeated measurements |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Versuchsplanung (DE-588)4078859-3 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Versuchsplanung Multivariate Analyse |
| url | https://doi.org/10.1007/b97287 |
| work_keys_str_mv | AT davischarless statisticalmethodsfortheanalysisofrepeatedmeasurements |