Modeling Survival Data Using Frailty Models. (Record no. 29715)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 03252nam a22003137a 4500 |
001 - CONTROL NUMBER | |
control field | 20241107130743.0 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20241107131507.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241107b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 978-981-15-1180-6 |
International Standard Book Number | 978-981-15-1181-3 (eBook) |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
International Standard Serial Number | 2364-6837 |
International Standard Serial Number | 2364-6845 (electronic) |
040 ## - CATALOGING SOURCE | |
Transcribing agency | ddc |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | English |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Fuller form of name | David D. Hanagal |
222 ## - KEY TITLE | |
Key title | Modeling Survival Data Using Frailty Models. |
Qualifying information | AIC algorithm analyze Australian twin data autocorrelation based on reversed baseline distribution baseline hazard Bayes factor BIC bivariate survival data bivariate survival function Burn-in period censored convergence correlated frailty model covariates data for Model data set Model diabetic retinopathy diabetic retinopathy data Eq exp failure rate Fig frailty distribution frailty models based frailty variable gamma distribution gamma frailty model Gaussian frailty models Gelman Geweke test given Hanagal hazard function heterogeneity ho(t Hougaard inverse Gaussian frailty Iteration number kidney infection data Laplace transform likelihood function log-logistic distribution loglikelihood lognormal Markov chain Model G-III Model IG-I Model RH-II multivariate p-values patients positive stable frailty Posterior summary proportional hazards model random effect random variable regression model reversed hazard rate running mean plots sample scale parameter shared frailty models Stat statistic summary for Australian survival analysis survival function Table twin data set variance Weibull distribution α β βι γ θ λι ν ρ σ |
240 ## - UNIFORM TITLE | |
Uniform title | Modeling Survival Data Using Frailty Models. |
245 ## - TITLE STATEMENT | |
Title | Modeling Survival Data Using Frailty Models. |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd. Edition. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Symbiosis International University Pune, Maharashtra, India | |
Name of publisher, distributor, etc. | Springer Nature Singapore Pte Ltd | |
Date of publication, distribution, etc. | 2019. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 307 Pages |
Extent | Includes References and Index. |
490 ## - SERIES STATEMENT | |
Series statement | Industrial and Applied Mathematics. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | <br/>This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers. |
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
General subdivision | Biometry, Computer simulation, Computers / Computer Simulation, Mathematics / Probability & Statistics / Bayesian Analysis, Mathematics / Probability & Statistics / General, Medical / Biostatistics, Medical / General, Statistics, Bayesian Inference, Failure time data analysis -- Mathematical models, Simulation and Modeling, Statistics for Life Sciences, Medicine, Health Sciences, Survival analysis (Biometry) -- Mathematical models. |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-981-15-1181-3">https://doi.org/10.1007/978-981-15-1181-3</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | ddc |
Koha item type | E-BOOKS |
Suppress in OPAC |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Barcode | Date last seen | Copy number | Uniform resource identifier | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO | MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO | 11/07/2024 | 20241107130743.0 | 11/07/2024 | 20241107130743.0 | https://doi.org/10.1007/978-981-15-1181-3 | 11/07/2024 | E-BOOKS |