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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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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.
“There are three kinds of lies: lies, damned lies and statistics” - Benjamin Disraeli. Statistical considerations of bio-medical research
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
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
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
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
5. Chasing the ‘P’ value Statistical considerations of bio-medical research
5. Chasing the ‘P’ value Statistical considerations of bio-medical research
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
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
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
Recommendations for improving the quality of statistical aspects of bio-medical research. Statistical considerations of bio-medical research
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
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.