Survival Analysis: Techniques for Censored and Truncated Data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2003
|
| Ausgabe: | Second Edition |
| Schriftenreihe: | Statistics for Biology and Health
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of Practical Notes at the end of each section. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology |
| Beschreibung: | 1 Online-Ressource (XVI, 538 p) |
| ISBN: | 9780387216454 9780387953991 |
| ISSN: | 1431-8776 |
| DOI: | 10.1007/b97377 |
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Datensatz im Suchindex
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| discipline | Mathematik |
| doi_str_mv | 10.1007/b97377 |
| edition | Second Edition |
| format | Electronic eBook |
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| isbn | 9780387216454 9780387953991 |
| issn | 1431-8776 |
| language | English |
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| spelling | Klein, John P. 1950-2013 Verfasser (DE-588)172530423 aut Survival Analysis Techniques for Censored and Truncated Data by John P. Klein, Melvin L. Moeschberger Second Edition New York, NY Springer New York 2003 1 Online-Ressource (XVI, 538 p) txt rdacontent c rdamedia cr rdacarrier Statistics for Biology and Health 1431-8776 Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of Practical Notes at the end of each section. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology Statistics Mathematical statistics Economics / Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Überleben (DE-588)4117273-5 gnd rswk-swf Überlebenszeit (DE-588)4186609-5 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Ereignisdatenanalyse (DE-588)4132103-0 gnd rswk-swf Überleben (DE-588)4117273-5 s Medizinische Statistik (DE-588)4127563-9 s 1\p DE-604 Überlebenszeit (DE-588)4186609-5 s 2\p DE-604 Ereignisdatenanalyse (DE-588)4132103-0 s 3\p DE-604 Moeschberger, Melvin L. Sonstige oth https://doi.org/10.1007/b97377 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Klein, John P. 1950-2013 Survival Analysis Techniques for Censored and Truncated Data Statistics Mathematical statistics Economics / Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Überleben (DE-588)4117273-5 gnd Überlebenszeit (DE-588)4186609-5 gnd Medizinische Statistik (DE-588)4127563-9 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd |
| subject_GND | (DE-588)4117273-5 (DE-588)4186609-5 (DE-588)4127563-9 (DE-588)4132103-0 |
| title | Survival Analysis Techniques for Censored and Truncated Data |
| title_auth | Survival Analysis Techniques for Censored and Truncated Data |
| title_exact_search | Survival Analysis Techniques for Censored and Truncated Data |
| title_full | Survival Analysis Techniques for Censored and Truncated Data by John P. Klein, Melvin L. Moeschberger |
| title_fullStr | Survival Analysis Techniques for Censored and Truncated Data by John P. Klein, Melvin L. Moeschberger |
| title_full_unstemmed | Survival Analysis Techniques for Censored and Truncated Data by John P. Klein, Melvin L. Moeschberger |
| title_short | Survival Analysis |
| title_sort | survival analysis techniques for censored and truncated data |
| title_sub | Techniques for Censored and Truncated Data |
| topic | Statistics Mathematical statistics Economics / Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Überleben (DE-588)4117273-5 gnd Überlebenszeit (DE-588)4186609-5 gnd Medizinische Statistik (DE-588)4127563-9 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd |
| topic_facet | Statistics Mathematical statistics Economics / Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Überleben Überlebenszeit Medizinische Statistik Ereignisdatenanalyse |
| url | https://doi.org/10.1007/b97377 |
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