Perspectives in Biometrics - 1st Edition - ISBN: 9780122373015, 9781483272252

Perspectives in Biometrics

1st Edition

Editors: Robert M. Elashoff
eBook ISBN: 9781483272252
Imprint: Academic Press
Published Date: 1st January 1975
Page Count: 212
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Perspectives in Biometrics is a collection of articles that deals with the state of active and important research area in the field of biometrics, as well as the methodological aspects of particular biometrical data analyses. The book reviews the statistical analysis of a large data base by using interactive computing and data analysis facilities as shown in the Albany Heart Study. One paper presents a survey of adaptive sampling techniques used in clinical trials, while another discusses computer-aided prognosis that can be useful in predicting the survival rate after the diagnosis and treatment of a serious disease. Another paper explains the use and interpretation of multivariate methods used in classifying the different stages encountered in infectious diseases of the critically ill. For example, the data bank in the Clinical Research Center—Acute is analyzed for a set of measurements that are then inputted in a computer base for later retrieval. The book also discusses "nonparametric estimation" that concerns estimates of distribution densities and cumulatives, as well as the use of "percentile points" to obtain decision rules in parametrization problems. The text can prove valuable for statisticians, students, and professors of calculus and advanced mathematics.

Table of Contents

List of Contributors


1. Interactive Statistical Computation with Large Data Structures

I. Introduction

II. The Data and the Computing Facilities

III. The Example

IV. Summary of Further Analyses

V. Comments on Interactive Data Analysis Systems


2. A Survey of Adaptive Sampling for Clinical Trials

I. Introduction

II. The Finite Patient Horizon Model

III. The Unknown Patient Horizon

IV. Ranking and Selection Models

V. Inverse Stopping

VI. Likelihood Stopping Rules

VII. Delayed Observations

VIII. Conclusions



3. Computer-Aided Prognosis

I. Introduction

II. Description of the Data

III. Density Estimation Methods

IV. Regression Estimation Methods

V. Results for Density Estimation Methods

VI. Results for the Regression Estimation Methods


4. The Use and Interpretation of Multivariate Methods in the Classification of Stages in Serious Infectious Disease Processes in the Critically

I. Introduction and Background of the Medical Problem and Data Description

II. An Approach to the Development of a Physiologic State Point of View

III. A Description of the Clustering Process

IV. The Concatenation of Multivariate Methods

V. Longitudinal Aspects of the Analysis—The Time Dimension—Can it Be Recovered?

VI. Conclusions


5. Approximate Tests and Confidence Intervals Using the Jackknife

I. Introduction

II. Approximate Tests and Confidence Intervals

III. Some Possible Extensions


6. Estimation Procedures for Simulation Applications

I. Statement and Outline of the Problem

II. Basic Structure

III. Interpretation of Parameters

IV. General Aspects of Estimation

V. Applications to Biomedical Problems

VI. Generalizations

Appendix. Consideration of Systematic Scale Estimators under the Assumption of Symmetry




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© Academic Press 1975
Academic Press
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About the Editor

Robert M. Elashoff

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