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About OMICS Group

This guide explores the statistical considerations in bio-medical research, including sample size determination, appropriate analysis approaches, avoiding selection bias, and the misuse of p-values. It emphasizes the importance of statistical reasoning and responsible data interpretation.

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About OMICS Group

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  1. About OMICS Group OMICS Group International is an amalgamation of Open Access publications and worldwide international science conferences and events. Established in the year 2007 with the sole aim of making the information on Sciences and technology ‘Open Access’, OMICS Group publishes 400 online open access scholarly journals in all aspects of Science, Engineering, Management and Technology journals. OMICS Group has been instrumental in taking the knowledge on Science & technology to the doorsteps of ordinary men and women. Research Scholars, Students, Libraries, Educational Institutions, Research centers and the industry are main stakeholders that benefitted greatly from this knowledge dissemination. OMICS Group also organizes 300 International conferences annually across the globe, where knowledge transfer takes place through debates, round table discussions, poster presentations, workshops, symposia and exhibitions.

  2. About OMICS Group Conferences OMICS Group International is a pioneer and leading science event organizer, which publishes around 400 open access journals and conducts over 300 Medical, Clinical, Engineering, Life Sciences, Pharma scientific conferences all over the globe annually with the support of more than 1000 scientific associations and 30,000 editorial board members and 3.5 million followers to its credit. OMICS Group has organized 500 conferences, workshops and national symposiums across the major cities including San Francisco, Las Vegas, San Antonio, Omaha, Orlando, Raleigh, Santa Clara, Chicago, Philadelphia, Baltimore, United Kingdom, Valencia, Dubai, Beijing, Hyderabad, Bengaluru and Mumbai.

  3. A Practical Guide To The Statistical Considerations Of Bio-medical Research. Dr.Bhagyajyothi C.S., Reader, Department of Public Health Dentistry, Bapuji Dental College and Hospital, Davangere, Karnataka, India.

  4. Statistical considerations of bio-medical research

  5. “There are three kinds of lies: lies, damned lies and statistics” - Benjamin Disraeli. Statistical considerations of bio-medical research

  6. Statistical considerations of bio-medical research

  7. 1. Ignorance towards the type of analysis at the planning stage of the study. One must decide upon the statistical approach to analyzing the data even before the data collection and sample size determination. Statistical considerations of bio-medical research

  8. 2. Failure to determine the sample size scientifically. ‘Larger the sample size the better the study’ is not always true. Statistical considerations of bio-medical research

  9. 3. Selective or self-selection of samples. Careless sampling is much more of a problem than an inappropriate analysis. Selective or self -selection of samples. Statistical considerations of bio-medical research

  10. 4. Not paying adequate attention to the assumptions underlying the statistical tests. “Never replace parametric tests for non-parametric tests”. Statistical considerations of bio-medical research

  11. 5. Chasing the ‘P’ value Statistical considerations of bio-medical research

  12. 5. Chasing the ‘P’ value Statistical considerations of bio-medical research

  13. 6. Multiple group comparisons without paying due importance to inflation of type I error. Number of pairwise comparisons for a n - group study is given by n(n-1)/2 Statistical considerations of bio-medical research

  14. Statistical considerations of bio-medical research

  15. 7. Concealment of neutral and negative results. it may be equally outraged by silence. Truth is not only violated by falsehood; Major threat to the validity of systematic reviews and meta-analyses. Henri Frederic Amiel, 1821-1881. Statistical considerations of bio-medical research

  16. Multiple hypotheses testing Assumption of normality Statistical significance (P value) Statistical tests Ethical implications Random sample Clinical significance Type I error Statistical implications to bio-medical research. Feasibility of conducting the research Generalizability Sample size Type of variable/ Level or scale of measurement of data Meta-analysis and systematic reviews Power of a study Publication bias Sample size Statistical considerations of bio-medical research

  17. Recommendations for improving the quality of statistical aspects of bio-medical research. Statistical considerations of bio-medical research

  18. Conclusion………. No research is perfect in itself. Focus should be on curtailing the statistical inadequacies in any research to the best possible level within practical limits. Besides, Nothing can be a substitute for the knowledgeable interpretation of data. Hence using computing power should go hand in hand; not replace statistical reasoning. Statistical considerations of bio-medical research

  19. Dr. K. Sadashiva shetty, Principal, Bapuji Dental College and Hospital. Karnataka, India. Dr. L. Nagesh., Head of the Department, Department of Public Health Dentistry, Institute of Dental Sciences, Bareilly, Uttar Pradesh, India.

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