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Hacking explores how mathematics became possible for the human race, and how it ensured our status as the dominant species.
Introduction to regression modeling of survival data -- Descriptive methods for survival data -- Regression models for survival data -- Interpretation of a fitted proportional hazards regression model -- Model development -- Assessment of model adequacy -- Extensions of the prop…
"Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has be…
"Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has be…
Introduces the most commonly used features of the SAS programming language, including the DATA and PROC steps, inputting data, modifying and combining data sets, summarizing data, producing reports, and debugging SAS programs. New topics in the 4th ed. include ODS graphics for s…
In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follo…
"The intent of this book is to present a methodology for the formulation and computer implementation of mathematical models based on time delay ordinary differential equations (DODEs) and partial differential equations (DPDEs) in biomedical science and engineering (BMSE)"--
"The intent of this book is to present a methodology for the formulation and computer implementation of mathematical models based on time delay ordinary differential equations (DODEs) and partial differential equations (DPDEs) in biomedical science and engineering (BMSE)"--
The world is awash in data. This volume of data will continue to increase. In the pharmaceutical industry, much of this data explosion has happened around biomarker data. Great statisticians are needed to derive understanding from these data. This book will guide you as you begi…
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers'knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculation…
Level set method in medical imaging segmentation
Level set method in medical imaging segmentation
Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and o…
