Free PDF Second Front: Censorship and Propaganda in the 1991 Gulf WarBy John R. MacArthur

Free PDF Second Front: Censorship and Propaganda in the 1991 Gulf WarBy John R. MacArthur

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Second Front: Censorship and Propaganda in the 1991 Gulf WarBy John R. MacArthur

Free PDF Second Front: Censorship and Propaganda in the 1991 Gulf WarBy John R. MacArthur

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Now updated with a new preface that examines the current conflict in Iraq, this brilliant work of investigative reporting reveals the government's assault on the constitutional freedoms of the American media during Operation Desert Storm. John R. MacArthur's engaging and provocative account is as essential and alarming today as when the first paperback edition was published ten years ago.

• Sales Rank: #1265422 in Books
• Published on: 2004-05-26
• Original language: English
• Number of items: 1
• Dimensions: 8.25" h x .75" w x 5.50" l, .82 pounds
• Binding: Paperback
• 318 pages

Review
"A brilliant piece of investigative reporting. . . . "Second Front "ought to be required reading for anyone who cares to observe how democracies can be eroded from within."--"Toronto Globe and Mail"

About the Author
John R. MacArthur is President and Publisher of Harper's Magazine and the author of The Selling of "Free Trade": NAFTA, Washington, and the Subversion of American Democracy (California, 2001). Ben H. Bagdikian is Dean Emeritus of the Graduate School of Journalism, University of California, Berkeley. He is the former assistant managing editor for national news at the Washington Post and is the author of a number of books.

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Second Front: Censorship and Propaganda in the 1991 Gulf WarBy John R. MacArthur PDF

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Download PDF Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin

Download PDF Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin

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Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin

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Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.

The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout.

Regression Methods for Medical Research is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.

• Sales Rank: #4955148 in Books
• Published on: 2014-01-07
• Original language: English
• Number of items: 1
• Dimensions: 9.64" h x .64" w x 6.80" l, 1.20 pounds
• Binding: Paperback
• 312 pages

From the Back Cover

Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.

The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout.

Regression Methods for Medical Research is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.

About the Author

Bee-Choo Tai, Saw Swee Hock School of Public Health, National University of Singapore, and National University Health System; and Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore

David Machin, Medical Statistics Unit, School of Health and Related Sciences, University of Sheffield; and Cancer Studies, Faculty of Medicine, University of Leicester, UK

Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin PDF
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Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin Mobipocket
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Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin PDF

Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin PDF

Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin PDF

Regression Methods for Medical ResearchBy Bee Choo Tai, David Machin PDF

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