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"Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts."--Jacket.

Mathematical statistics --- QA 276 .L328 Mathematical statistics --- Failure time data analysis --- Survival analysis (Biometry) --- AA / International- internationaal --- 303.0 --- 304.0 --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Failure time data analysis. --- Analysis, Failure time data --- Data analysis, Failure time --- Failure analysis (Engineering) --- Competing risks --- Analysis, Survival (Biometry) --- Survivorship analysis (Biometry) --- Biometry --- Survival analysis (Biometry). --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Statistique

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Heart Transplantation --- Waiting Lists. --- Survival Rate. --- Kidney Transplantation --- Tissue and Organ Procurement --- Tissue Donors --- #GBIB:CBMER --- Mean Survival Time --- Cumulative Survival Rate --- Survivorship --- Cumulative Survival Rates --- Mean Survival Times --- Rate, Cumulative Survival --- Rate, Survival --- Rates, Cumulative Survival --- Rates, Survival --- Survival Rate, Cumulative --- Survival Rates --- Survival Rates, Cumulative --- Survival Time, Mean --- Survival Times, Mean --- Time, Mean Survival --- Times, Mean Survival --- List, Waiting --- Lists, Waiting --- Waiting List --- mortality. --- physiology. --- organization & administration. --- supply & distribution. --- Theses --- Waiting Lists --- Survival Rate --- mortality --- physiology --- organization & administration --- supply & distribution --- Grafting, Kidney --- Renal Transplantation --- Transplantation, Kidney --- Transplantation, Renal --- Kidney Grafting --- Kidney Transplantations --- Renal Transplantations --- Transplantations, Kidney --- Transplantations, Renal --- Kidney --- transplantation

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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.

51-7 --- 519.22 --- Survival analysis (Biometry) --- Analysis, Survival (Biometry) --- Survivorship analysis (Biometry) --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Statistical theory. Statistical models. Mathematical statistics in general --- 51-7 Mathematical studies and methods in other sciences. Scientific mathematics. Actuarial mathematics. Biometrics. Econometrics etc. --- Mathematical studies and methods in other sciences. Scientific mathematics. Actuarial mathematics. Biometrics. Econometrics etc. --- Analyse de la survie (Biométrie) --- Medicine. --- Epidemiology. --- Probabilities. --- Statistics. --- Social sciences. --- Medicine & Public Health. --- Probability Theory and Stochastic Processes. --- Methodology of the Social Sciences. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistical Theory and Methods. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Biometry --- Failure time data analysis --- Mathematical studies and methods in other sciences. Scientific mathematics. Actuarial mathematics. Biometrics. Econometrics etc --- Mathematical statistics --- Survival analysis (Biometry). --- WA 950 Theory or methods of medical statistics --- EPUB-LIV-FT SPRINGER-B --- Distribution (Probability theory. --- Social sciences --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Methodology. --- Statistics . --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Risk --- Diseases --- Public health --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics