
Dr. Abhaya Indrayan
MSc, MS, PhD (OhioState), FAMS, FRSS, FSMS, FASc
Selected Full Text Articles
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1. Can I choose the cause of my death?
2. Statistical Choropleth Cartography in Epidemiology
4. Attack on statistical significance: A balanced approach for medical research
5. Statistical fallacies & errors can also jeopardize life & health of many
6. Age Regression Of Blood Pressure In An Urban Population Of Age 15-59 Years
7. Aleatory and epistemic uncertainties can completely derail medical research results.
8. Reporting of Basic Statistical Methods in Biomedical Journals: Improved SAMPL Guidelines
9. Demystifying LMS and BCPE Methods of Centile Estimation for Growth and Other Health Parameters
10. Receiver Operating Characteristic (ROC) Curve for Medical Researchers
11. The Methods of Survival Analysis for Clinicians
12. Statistical medicine: An emerging medical specialty
13. Forecasting vascular disease cases and associated mortality in India
15. Mathematical models in the assessment of infective force in filariasis
16. Multivariate approach in epidemiological assessment of continuity in a cohort of oral contraceptors
18. Changes needed in style and content of teaching statistics to medical undergraduates
19. A health monitor in your pocket? (Conceived in 1996)
21. Utilization of hospital laboratory data for establishing normal reference interval of quantitative medical parameters: Double filtration method
22. Medical biostatistics as a science of managing medical uncertainties
23. Beyond “Normal”: Optimal levels of medical parameters for assessing positive health
24. The development of QERM scoring system for comprehensive assessment of the Quality of Empirical Research in Medicine
25. Personalized statistical medicine
26. Direct use of clinical tolerance limits for assessing the degree of agreement between two methods of measuring blood pressure
27. Quest for biomarkers of positive health
28. Use of ROC curve analysis for prediction gives fallacious results: Use predictivity-based indices
29. Simplified sample size formulas for detecting a medically important effect
30. Study designs for making most of the limited resources
31. Types of data and data collation for efficient processing
32. Assessing the adequacy of a prediction model
33. P values, power, and medical significance for credible results
34. Some newer & simpler biostatistical approaches for more credible clinical research
35. Direct use of clinical tolerance limits for assessing agreement: A robust nonparametric approach
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