Survival Analysis
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Survival Analysis: A Self-Learning Text
By David G. Kleinbaum, Mitchel KleinThis layout is the basis upon which Kaplan–Meier survival curves are derived. The first column in the table gives ordered survival times from smallest to largest. The second column gives frequency counts of failures at each distinct ...
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Survival Analysis: Techniques for Censored and Truncated Data
By John P. Klein, Melvin L. MoeschbergerConsider a three level factor, such as race (black, white, Hispanic), using the coding as in (8.2.1) Z1 1 if the subject is black, 0 if otherwise, Z2 1 if the subject if white, 0 otherwise, The hazard rate, in general, is h(t | Z) ...
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Survival Analysis: Proportional and Non-Proportional Hazards Regression
By John O'QuigleyM. Donsker, An invariance principle for certain probability limit theorems. Mem. Am. Math. Soc. ... 76(374), 312–319 (1981a) B. Efron, Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods.
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Survival Analysis: Techniques for Censored and Truncated Data
By John P. Klein, Melvin L. MoeschbergerHuffer and McKeague (1991) and MacKeague (1988) suggest using a weighted, least-squares, generalized inverse X (t) [Xt(t)W(t)X(t)]1Xt(t)W(t). (10.2.16) Here W(t) is an n n diagonal matrix taken to. 10.2 Aalen's Nonparametric, Additive ...
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Survival Analysis: Techniques for Censored and Truncated Data
By John P. Klein, Melvin L. MoeschbergerThis book will thus be useful for investigators who need to analyse censored or truncated life time data, and as a textbook for a graduate course in survival analysis, the only prerequisite being a standard course in statistical methodology ...
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Survival Analysis: A Practical Approach
By David Machin, Yin Bun Cheung, Mahesh ParmarThis book is designed with the practitioner in mind and is aimed at medical statisticians, epidemiologists, clinicians and healthcare professionals as well as students studying survival analysis as part of their graduate or postgraduate ...
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Survival Analysis
By Shenyang GuoWith clearly written summaries and plentiful examples, all written with social work issues and social work researchers in mind, this pocket guide will put this important statistical tool in the hands of many more social work researchers ...
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Survival Analysis: A Self-Learning Text
By David G. Kleinbaum, Mitchel KleinA "user-friendly" layout includes numerous illustrations and exercises and the book is written in such a way so as to enable readers learn directly without the assistance of a classroom instructor.
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Survival Analysis
By Shenyang GuoWith clearly written summaries and plentiful examples, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before.
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Survival Analysis: State of the Art
By John P. Klein, Prem GoelThe research works collected in this volume are based on the presentations at the Workshop.
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Survival Analysis: A Self-Learning Text, Third Edition
By David G. Kleinbaum, Mitchel KleinThis text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis.
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Survival Analysis: A New Guide for Social Scientists
By Alejandro Quiroz Flores... Unsupervised Machine Learning for Clustering in Political and Social Research Philip D. Waggoner Using Shiny to Teach Econometric Models Shawna K. Metzger Modern ... Analysis in Python for Social Scientists: Prediction and Classification.
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Survival Analysis
By Jr., Rupert G. MillerA concise summary of the statistical methods used in the analysis of survival data with censoring.
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Survival Analysis: State of the Art
By John P. Klein, P.K. GoelThe research works collected in this volume are based on the presentations at the Workshop.
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Survival Analysis
By Prabhanjan Tattar, H J VamanThis book attempts to cover all these aspects in a concise way. Survival Analysis offers an integrated blend of statistical methods and machine learning useful in analysis of survival data.
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Survival Analysis: Models and Applications
By Xian LiuRecent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques.