Perspectives in Biometrics

Perspectives in Biometrics

1st Edition - January 1, 1975

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  • Editor: Robert M. Elashoff
  • eBook ISBN: 9781483272252

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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



Product details

  • No. of pages: 212
  • Language: English
  • Copyright: © Academic Press 1975
  • Published: January 1, 1975
  • Imprint: Academic Press
  • eBook ISBN: 9781483272252

About the Editor

Robert M. Elashoff

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