Keywords:
Biometry.
;
Electronic books.
Description / Table of Contents:
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.
Type of Medium:
Online Resource
Pages:
1 online resource (213 pages)
Edition:
1st ed.
ISBN:
9781483272252
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=1655624
DDC:
574
Language:
English
Note:
Front Cover -- Perspectives in Biometrics -- Copyright Page -- Table of Contents -- List of Contributors -- Preface -- Chapter 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 -- References -- Chapter 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 -- Appendix -- References -- Chapter 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 -- References -- Chapter 4. The Use and Interpretation of Multivariate Methods in the Classification of Stages in Serious Infectious Disease Processes in the Critically III -- 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 -- References -- Chapter 5. Approximate Tests and Confidence Intervals Using the Jackknife -- I. Introduction -- II. Approximate Tests and Confidence Intervals -- III. Some Possible Extensions -- References -- Chapter 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 -- References -- Index.
