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Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis 2nd Revised edition [Kietas viršelis]

(Director, Research and Evaluation, Southern California Kaiser Permanente Medical Care Program)
  • Formatas: Hardback, 320 pages, aukštis x plotis x storis: 240x165x27 mm, weight: 594 g, numerous graphs and tables
  • Serija: Monographs in Epidemiology and Biostatistics 31
  • Išleidimo metai: 11-Nov-1999
  • Leidėjas: Oxford University Press Inc
  • ISBN-10: 0195133641
  • ISBN-13: 9780195133646
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 320 pages, aukštis x plotis x storis: 240x165x27 mm, weight: 594 g, numerous graphs and tables
  • Serija: Monographs in Epidemiology and Biostatistics 31
  • Išleidimo metai: 11-Nov-1999
  • Leidėjas: Oxford University Press Inc
  • ISBN-10: 0195133641
  • ISBN-13: 9780195133646
Kitos knygos pagal šią temą:
Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the needs of students taking introductory courses that cover these topics. It will also be useful to clinicians and policymakers who need to understand the quantitative underpinnings of the methods in order to best apply the information that derives from them. The second edition of this popular book adds new material on cumulative meta-analysis as a method to explore heterogeneity. The coverage of cost-effectiveness analysis has been brought into close alignment with recommendations of the U.S. Public Health Panel on Cost-Effectiveness Analysis in Health and Medicine. Many of the examples have been replaced with more current examples, and all of the material has been updated to reflect recent advances in the methods and the emergence of consensus about some previously controversial issues. analysis. These three closely related methods have become even more important for synthesizing research since the first edition was published in 1994. And they have gained legitimacy as tools for guiding health policy.

Recenzijos

"The first edition was very well received and this new work receives my heartiest endorsement....The writing is clear and accessible. Jargon minimal. The text is well-larded with examples....Each chapter has been updated and new material added. The new edition places many recent developments into context....All in all the book fills an important niche. It is suitable as a text and a reference. Difficult concepts are especially articulately presented. This new edition belongs on the shelf of every aspiring meta-analyst!" --The Epidemiology Monitor "This book is very well written, easy to understand and apply, with excellent relevant examples. It is the most comprehensive and accessible book in this field....4 STARS." --Doody's Rating "I have used the text as a primary source in several courses and seminars. Students at various levels of training regularly agrred that it was clearly written and provided numerous relevant examples of the necessary techniques. Often, methodological textbooks provide detailed formulae. In contrast, this text provides in its numerous examples the actual step-by-step calculations that are needed."--American Journal of Epidemiology

Introduction
1(12)
Three Illustrative Problems
2(1)
Definitions
2(2)
Historical Perspective
4(4)
Linkages of the Three Methods
8(4)
Organization of the Book
12(1)
Overview of the Methods
13(20)
Meta-Analysis
13(4)
Decision Analysis
17(12)
Cost-Effectiveness Analysis
29(4)
Planning the Study
33(10)
Defining the Problem
33(1)
Developing a Study Protocol
34(6)
Acquiring Resources
40(1)
Procuring Administrative Approvals
40(3)
Information Retrieval
43(25)
Overall Strategy for Retrieving Information from Published Studies
43(2)
Computerized Searches of Medline
45(5)
Other Computer-Stored Databases
50(1)
Limitations of Computerized Searches of Computer-Stored Databases
51(7)
Publication Bias
58(10)
Data Collection
68(7)
Overall Goals
68(1)
Reliability
69(3)
Validity
72(1)
Bias
73(2)
Advanced Issues in Meta-Analysis
75(19)
Defining Eligibility Criteria and Determining Eligibility of Individual Studies
76(3)
Study Design
79(1)
Inclusive Dates of Publication
80(1)
English-Language Publications
81(1)
Multiple Publications from the Same Study Population
81(2)
Restrictions on Sample Size or Length of Follow-Up
83(1)
Eligibility Based on Similarity of Treatments (or Exposures) or Outcomes
83(2)
Completeness of Information
85(2)
Choosing Estimates of Effect Within Eligible Studies
87(2)
Study Quality
89(5)
Statistical Methods in Meta-Analysis
94(25)
Goals of Meta-Analysis and the Problem of Heterogeneity
95(5)
Choice of Effect Measure
100(1)
Mantel-Haenszel Method
101(3)
Peto Method
104(3)
General Variance-Based Methods
107(4)
General Variance-Based Methods That Use Confidence Intervals
111(4)
Statistical Tests of Homogeneity
115(1)
DerSimonian and Laird Method
116(3)
Appendix
118(1)
Other Statistical and Methodologic Issues in Meta-Analysis
119(21)
Measures on a Continuous Scale
119(8)
Trend or ``Dose Response'' Analysis
127(5)
Vote Counting and Related Methods
132(1)
Statistical Approaches to Publication Bias
133(2)
Cumulative Meta-Analysis
135(1)
Meta-Analysis of Individual Level Data
136(4)
Complex Decision Problems
140(19)
More Than Two Alternative Treatments or Interventions
141(1)
More Than One Outcome
142(5)
Many Intervening Events
147(2)
Estimating Life Expectancy
149(3)
Markov Models
152(7)
Estimating Probabilities
159(10)
Overall Goals
159(2)
Relying on Selected Published Sources of Information on Probabilities
161(3)
Aggregating Information from Multiple Published Sources
164(1)
Experts as Sources of Probability Estimates
165(1)
Personal Experience and ``Guessing'' to Estimate Probabilities
166(1)
Accounting for Uncertainty in Probability Estimates
166(3)
Measuring Preferences for Health States
169(13)
The Concept of Utility
169(1)
Conceptual Issues in the Measurement of Preferences for Health States
170(3)
Developing Measurement Scales in Practice
173(6)
Use of Generic Measures of Health-Related Quality of Life as Preference Measures
179(2)
Limitations of Measures of Preferences for Health States
181(1)
Advanced Cost-Effectiveness Analysis
182(20)
Types of Economic Evaluation
183(2)
Key Concepts
185(4)
Time Horizon
189(1)
Identifying Contributors to Cost
190(4)
Valuing Costs
194(2)
Discounting
196(3)
Inflation
199(3)
Utility and Cost-Utility Analysis
202(11)
Quality-Adjusted Life-Years
203(3)
Steps in a Utility or Cost-Utility Analysis
206(1)
Review of Approaches to Measuring Preferences (Utilities)
207(1)
Incorporating Preference Measures into the Analysis
207(6)
Exploring Heterogeneity
213(16)
Overview
214(1)
Statistical Versus Clinical Heterogeneity
214(1)
Practices to be Avoided
215(1)
Limitations of Statistical Tests of Heterogeneity
216(2)
Framework for Exploration of Clinical Heterogeneity
218(4)
Stratification as a Method for Exploring Heterogeneity
222(2)
Meta-Regression
224(1)
Subgroup Analysis in Decision Analysis and Cost-Effectiveness Analysis
225(2)
Limitations of Subgroup Analysis
227(2)
Sensitivity Analysis
229(15)
Goals of Sensitivity Analysis
229(1)
One-way Sensitivity Analysis in Decision Analysis and Cost-Effectiveness Analysis
230(4)
Two-way, Three-way, and n-way Sensitivity Analysis
234(5)
Application of the Principles of Sensitivity Analysis to Meta-Analysis
239(5)
Reporting Results
244(19)
Meta-Analysis
244(3)
Decision Analysis
247(1)
Cost-Effectiveness Analysis
248(2)
Graphical Presentation of the Results of Meta-Analysis
250(9)
Graphical Presentation of the Results of Decision Analysis and Cost-Effectiveness Analysis
259(4)
Limitations
263(20)
Meta-Analysis
264(7)
Decision Analysis
271(2)
Cost-Effectiveness Analysis
273(2)
Life Expectancy
275(4)
Situations Where the Methods Are Most and Least Useful
279(1)
Improving the Methods: Recommendations of Experts
279(4)
References 283(14)
Subject Index 297(8)
Index of Examples 305