
| 作者简介: Phillip Good, Ph.D., a graduate of UC Berkeley's statistics program, is the author of sixteen published books. He has 23 years of experience in the pharmaceutical and medical device industries, first with Upjohn, and then as an independent consultant. He has taught anatomy and biology, and has also served as Calloway Professor of Computer Science at the University of Georgia at Fort Valley. Dr. Good has lectured extensively throughout the world, including an appointment as traveling lecturer for the American Statistical Association. |
| 1. Cut Costs and Increase Profits. No Excuse for the Wastage. Front-Loaded Solution. Downsizing. Think Transnational. A Final Word. 2. Guidelines. Start with Your Reports. The Wrong Way. Keep It in the Computer. Don’t Push the River. KISS. Plug the Holes as They Arise. Pay for Results, Not Intentions. Plan, Do, Then Check. PART I PLAN. 3. Prescription for Success. Plan. A. Predesign Phase. B. Design the Trials. Do. C. Obtain Regulatory Agency Approval for the Trials. D. Form the Implementation Team. E. Line Up Your Panel of Physicians. F. Develop the Data Entry Software. G. Test the Software. H. Train. I. Recruit Patients. J. Set Up External Review Committees. K. Conduct the Trials. L. Develop Suite of Programs for Use in Data Analysis. M. Analyze and Interpret the Data. Check. N. Complete the Submission. 4. Staffing for Success. The People You Need. Design Team. Obtain Regulatory Approval for the Trials. Track Progress. Implementation Team. Develop Data Entry Software. Test the Software. Line Up Your Panel of Physicians. External Laboratories. Site Coordinators. External Review Committees. Recruit and Enroll Patients. Transnational Trials. Conduct the Trials. Programs for Data Analysis. Analyze and Interpret the Data. The People You Don’t Need. For Further Information. 5. Design Decisions. Should the Study Be Performed? Should the Trials Be Transnational? Study Objectives. End Points. Secondary End Points. Should We Proceed with a Full-Scale Trial? Tertiary End Points. Baseline Data. Who Will Collect the Data? Quality Control. Study Population. Timing. Closure. Planned Closure. Unplanned Closure. Be Defensive. Review, Rewrite, Review Again. Checklist for Design. Budgets and Expenditures. For Further Information. 6. Trial Design. 7. Exception Handling. PART II DO 8. Documentation. 9. Recruiting and Retaining Patients and Physicians. 10. Computer-Assisted Data Entry. 11. Data Management. 12. Are You Ready? 13. Monitoring the Trials. 14. Managing the Trials. 15. Data Analysis. PART III CHECK. 16. Check. Appendix Software. Author Index. Subject Index. |
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