Survival Analysis for Epidemiologic and Medical Research

Steve Selvin

This practical guide shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems.

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Branching Processes

Patsy Haccou, Peter Jagers, Vladimir A. Vatutin

Biology takes a special place among the other natural sciences because biological units, be they pieces of DNA, cells or organisms, reproduce more or less faithfully.

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Statistical Models

A.C. Davison

Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivalled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics.

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Design of Comparative Experiments

R.A. Bailey

Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams.

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Statistics Using SPSS

Sharon Lawner Weinberg, Sarah Knapp Abramowitz

This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level.

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Pattern Recognition and Neural Networks

Brian D. Ripley

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks.

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Prices and Quantities: Models for Measuring Aggregate Change and Difference

Bert Balk

Price and quantity indices are important, much-used measuring instruments, and it is therefore necessary to have a good understanding of their properties.

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Trends in Stochastic Analysis

Edited by Jochen Blath

This outstanding collection of thirteen articles provides an overview of recent developments of significant trends in the field of stochastic analysis.

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