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
1997
|
| 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. "This book...offers an excellent course in survival analysis for |
| Beschreibung: | 1 Online-Ressource (XIV, 502 p) |
| ISBN: | 9781475727289 9781475727302 |
| ISSN: | 1431-8776 |
| DOI: | 10.1007/978-1-4757-2728-9 |
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Datensatz im Suchindex
| _version_ | 1804153094363152384 |
|---|---|
| any_adam_object | |
| author | Klein, John P. 1950-2013 |
| author_GND | (DE-588)172530423 |
| author_facet | Klein, John P. 1950-2013 |
| author_role | aut |
| author_sort | Klein, John P. 1950-2013 |
| author_variant | j p k jp jpk |
| building | Verbundindex |
| bvnumber | BV042421375 |
| classification_tum | MAT 000 |
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| 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 | 10.1007/978-1-4757-2728-9 |
| format | Electronic eBook |
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| id | DE-604.BV042421375 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:08Z |
| institution | BVB |
| isbn | 9781475727289 9781475727302 |
| 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 New York, NY Springer New York 1997 1 Online-Ressource (XIV, 502 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. "This book...offers an excellent course in survival analysis for Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistik Ereignisdatenanalyse (DE-588)4132103-0 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Überlebenszeit (DE-588)4186609-5 gnd rswk-swf Überleben (DE-588)4117273-5 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/10.1007/978-1-4757-2728-9 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 Statistics for Life Sciences, Medicine, Health Sciences Statistik Ereignisdatenanalyse (DE-588)4132103-0 gnd Medizinische Statistik (DE-588)4127563-9 gnd Überlebenszeit (DE-588)4186609-5 gnd Überleben (DE-588)4117273-5 gnd |
| subject_GND | (DE-588)4132103-0 (DE-588)4127563-9 (DE-588)4186609-5 (DE-588)4117273-5 |
| 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 Statistics for Life Sciences, Medicine, Health Sciences Statistik Ereignisdatenanalyse (DE-588)4132103-0 gnd Medizinische Statistik (DE-588)4127563-9 gnd Überlebenszeit (DE-588)4186609-5 gnd Überleben (DE-588)4117273-5 gnd |
| topic_facet | Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistik Ereignisdatenanalyse Medizinische Statistik Überlebenszeit Überleben |
| url | https://doi.org/10.1007/978-1-4757-2728-9 |
| work_keys_str_mv | AT kleinjohnp survivalanalysistechniquesforcensoredandtruncateddata AT moeschbergermelvinl survivalanalysistechniquesforcensoredandtruncateddata |