Abstract
Research results can be provided in terms of actual blood sugar levels or as prevalence of diabetes, in terms of Hb level or anaemia. Statistical errors We know that medical errors in terms of misdiagnosis, missed diagnosis, negligent care, treatment errors, prognostic misjudgement, etc. can cause misery and death. Many examples can be cited from medical literature when more than one statistical test is done on the same data, each at level 0.05[9], without realizing that this inflates the error rate. [...]false significance is achieved that does not replicate in actual practice.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Biostatistics Consultant, Max Healthcare, Saket, New Delhi 110 017 & Former Professor, Department of Biostatistics & Medical Informatics, University College of Medical Sciences, Delhi 110 095