Analysis of Observational Health Care Data Using SAS By Douglas Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain

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Analysis of Observational Health Care Data Using SAS
 By Douglas Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain

Analysis of Observational Health Care Data Using SAS By Douglas Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain


Analysis of Observational Health Care Data Using SAS
 By Douglas Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain


Free Download Analysis of Observational Health Care Data Using SAS By Douglas Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain

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Analysis of Observational Health Care Data Using SAS
 By Douglas Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain

  • Sales Rank: #882584 in Books
  • Brand: Brand: SAS Institute
  • Published on: 2010-02-26
  • Original language: English
  • Number of items: 1
  • Dimensions: 11.00" h x 1.02" w x 8.25" l, 2.25 pounds
  • Binding: Perfect Paperback
  • 452 pages
Features
  • Used Book in Good Condition

Review
"Analysis of Observation Health Care Data Using SAS should be a required reference book available to health outcomes, economics, and epidemiology researchers at all levels, whether they are graduate students or experienced analysts. It contains much practical wisdom; describes the techniques, standards, and pitfalls of analyzing real world data; as well as provides actual computer code that should be immediately useful to analysts of 'real world' health care data. It even has references to publications that have applied such methods. This is a long awaited and much needed book, and I am hopeful that it will serve as a general guidance to improve the quality of research using observational data." --Howard G. Birnbaum, PhD, Principal, Analysis Group, Inc.

"This book, which is a collection of articles by experts, serves a vital need for a good general book on the subject of observational studies in medicine. The randomized control trial is not the only method of analysis, but observational studies have their special problems. This book concentrates on method such as propensity scoring and instrumental variables, pointing out the advantages and disadvantages of each. The technical level varies from chapter to chapter, but is generally fairly accessible. The chapters all have extensive references, and each has copious SAS code, with comments and output, to illustrate key ideas. If you analyze observational data in the medical field, you will want this book." --Peter Flom, Independent Statistical Consultant, Peter Flom Consulting, LLC

About the Author
Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research. A SAS user for more than 20 years, he received his Ph.D. in Statistics from Oklahoma State University and his M.S. in Mathematics from Western Illinois University.

Andrew C. Leon is Professor of Public Health and of Biostatistics in Psychiatry at Weill Cornell Medical College in New York City. A SAS user since 1982, he received his Ph.D. in Educational Psychology from City University in New York.

Josep Maria Haro is Director of the Saint John of God Research and Teaching Foundation in Barcelona, Spain. He earned an M.D. from the University of Barcelona, a Master's in Public Health from Johns Hopkins University, and a Ph.D. from University Autonoma in Barcelona. He has been a SAS user since 1990.

Robert L. Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana; Research Fellow at the National Institute of Statistical Sciences in Research Triangle Park, North Carolina; and Adjunct Professor in Biostatistics at Indiana University Medical School in Indianapolis, Indiana. A SAS user since 1986, he received his Ph.D. in Mathematical Statistics from the University of North Carolina at Chapel Hill

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