Encyclopedia of Biostatistics, 2nd Edition

  • Published By:
  • ISBN-10: 0470011815
  • ISBN-13: 9780470011812
  • Grade Level Range: College Freshman - College Senior
  • 6022 Pages | eBook
  • Original Copyright 2005 | Published/Released December 2006
  • This publication's content originally published in print form: 2005

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About

Overview

The Encyclopedia of Biostatistics, 2nd edition offers the definitive reference to support the development and use of statistical methods for addressing the problems and critical issues that confront scientists, practitioners and policy makers engaged in the life and medical sciences. With the growing importance and application of biostatistics, reflected in the increasing number of statisticians employed in the pharmaceutical industry, healthcare sector and medical schools, this new edition will find widespread application in basic medical science; the planning, financing and distribution of health care; and the measurement of health care status and progress in the population.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Editorial Board.
Contents.
Contributors.
Preface: Preface to the Second Edition.
Preface: Preface to the First Edition.
Review Articles.
Abbreviations and Acronyms.
1: Aalen–Johansen Estimator.
2: Aalen's Additive Regression Model.
3: Absolute Risk.
4: Accelerated Failure-Time Models.
5: Accident and Emergency Medicine.
6: Accident Proneness.
7: Actuarial Methods.
8: Adaptive Designs for Clinical Trials.
9: Adaptive and Dynamic Methods of Treatment Assignment.
10: Adaptive Sampling.
11: Additive Hazard Models.
12: Additive Model.
13: Additive–Multiplicative Intensity Models.
14: Administrative Databases.
15: Admixture in Human Populations.
16: Admixture Mapping.
17: Adoption Studies.
18: Adverse Selection.
19: Aging Models.
20: Age-of-Onset Estimation.
21: Age–Period–Cohort Analysis.
22: Agreement, Measurement of.
23: Agreement, Modeling of Categorical.
24: AIDS and HIV.
25: Akaike's Criteria.
26: Algorithm.
27: Allometry.
28: Alternative Hypothesis.
29: Alternative Medicine.
30: American Public Health Association.
31: American Statistical Association.
32: Analysis of Covariance.
33: Analysis of Variance.
34: Analysis of Variance for Longitudinal Data.
35: Analytic Epidemiology.
36: Analytic Hierarchy Process.
37: Ancillary Statistics.
38: Animal Screening Systems.
39: Antidependence Models.
40: Anthropometry.
41: Anticipation.
42: Antithetic Variable.
43: ARMA and ARIMA Models.
44: Artificial Intelligence.
45: Ascertainment.
46: Aspin–Welch Test.
47: Association.
48: Association, Measures of.
49: Assortative Mating.
50: Asymptotic Relative Efficiency (ARE).
51: Attributable Fraction in Exposed.
52: Attributable Risk.
53: Autocorrelation Function.
54: Average Age at Death.
55: Axes in Multivariate Analysis.
56: Axioms of Probability.
57: Back–Calculation.
58: Backward and Forward Shift Operators.
59: Bacterial Growth, Division, and Mutation.
60: Bagging and Boosting.
61: Balanced Incomplete Block Designs.
62: Ban Estimates.
63: Barahona–Poon Test.
64: Barnard, George Alfred.
65: Bartlett, Maurice Stevenson.
66: Bartlett's Test.
67: Baseline Adjustment in Longitudinal Studies.
68: Battery Reduction.
69: Bayes Factors.
70: Bayes' Theorem.
71: Bayes, Thomas.
72: Bayesian Approaches to Cure Rate Models.
73: Bayesian Decision Models in Health Care.
74: Bayesian Methods.
75: Bayesian Methods for Contingency Tables.
76: Bayesian Methods for Model Comparison.
77: Bayesian Methods in Clinical Trials.
78: Bayesian Model Selection in Survival Analysis.
79: Bayesian Survival Analysis.
80: Behrens–Fisher Problem.
81: Benefit/Risk Assessment in Prevention Trials.
82: Benjamin, Bernard.
83: Berkson, Joseph.
84: Berkson's Fallacy.
85: Bernard, Claude.
86: Bernoulli Family.
87: Bertillon Family.
88: Beta-Binomial Distribution.
89: Beta Distribution.
90: Bias.
91: Bias in Case–Control Studies.
92: Bias in Cohort Studies.
93: Bias from Diagnostic Suspicion in Case–Control Studies.
94: Bias from Exposure Effects on Controls.
95: Bias from Exposure Suspicion in Case–Control Studies.
96: Bias from Historical Controls.
97: Bias from Loss to Follow-Up.
98: Bias, Nondifferential.
99: Bias from Nonresponse.
100: Bias in Observational Studies.
101: Bias, Overview.
102: Bias, Protopathic.
103: Bias from Stage Migration in Cancer Survival.
104: Bias from Survival in Prevalent Case–Control Studies.
105: Bias Toward the Null.
106: Biased Sampling of Cohorts.
107: Binary Data.
108: Binomial Distribution.
109: Bioassay.
110: Bioavailability and Bioequivalence.
111: Bioequivalence.
112: Bioinformatics.
113: Bioinformatics in Functional Genomics.
114: Biological Assay, Overview.
115: Biological Standardization.
116: Biometrical Journal.
117: Biometrics.
118: Biometrika.
119: Biostatistics.
120: Biostatistics, History of.
121: Biostatistics, Overview.
122: Birth Cohort Studies.
123: Birth Defect Registries.
124: Birthweight.
125: Biserial Correlation.
126: Bivariate Distributions.
127: Bivariate Normal Distribution.
128: Blinding or Masking.
129: Bliss, Chester Ittner.
130: Blocking.
131: Blood Groups.
132: Bonferroni, Carlo Emilio.
133: Bonferroni Inequalities and Intervals.
134: Bootstrap Method.
135: Bootstrapping in Survival Analysis.
136: Bortkiewicz, Ladislaus von.
137: Bradford Hill Lectures.
138: Bradley, Ralph A.
139: Bradley–Terry Model.
140: Branching Processes.
141: Breslow–Day Test.
142: Broadband Smoothing.
143: Brownian Motion and Diffusion Processes.
144: Brownlee, John.
145: BSE and vCJD.
146: Burden of Disease.
147: Byar, David P.
148: Calibration.
149: Call-Backs and Mail-Backs in Sample Surveys.
150: Cancer Registries.
151: Candidate Gene.
152: Canonical Correlation.
153: Capture–Recapture.
154: Cardiology and Cardiovascular Disease.
155: Case–Cohort Study.
156: Case–Control Study.
157: Case–Control Study, Hospital-Based.
158: Case–Control Study, Nested.
159: Case–Control Study, Population-Based.
160: Case–Control Study, Prevalent.
161: Case–Control Study, Sequential.
162: Case–Control Study, Two-Phase.
163: Case Fatality.
164: Case Mix.
165: Case-Only Gene Mapping.
166: Case Series, Case Reports.
167: Categorical Data Analysis.
168: Categorizing Continuous Variables.
169: Cauchy Distribution.
170: Causal Direction, Determination.
171: Causation.
172: Cause of Death, Automatic Coding.
173: Cause of Death, Underlying and Multiple.
174: Cell Cycle Models.
175: Censored Data.
176: Censuses.
177: Centers for Disease Control and Prevention (CDC).
178: Central Limit Theory.
179: Centroid Method.
180: Chain Binomial Model.
181: Chalmers, Thomas Clark.
182: Change-Point Problem.
183: Chaos Theory.