Course Details

Subject {L-T-P / C} : BM4004 : Statistics and Physiological modeling { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Mukesh Kumar Gupta

Syllabus

Data Collection, Sampling Methods, Sampling Concepts, Common Methods of Random Sampling,, Non-sampling Errors and Other Biases, Presentation of data by Figures, Graphs for Frequency Distribution, Pie, Bar, and Line Diagrams, Special Diagrams in Health and Medicine, Charts and Maps, Measurement of Uncertainty: Probability, ROC curve, Principles of Tests of Significance, and Sample Size, Sampling Distributions, Confidence Intervals, P-Values and Statistical Significance, Assessing Gaussian Pattern, Inference from Proportions, Relative Risk and Odds Ratio, Inference from Means, Student t-Test, ANOVA F-Test, Nonparametric Tests for Location, Linear Regression Models, Nonlinear Regression, Multiple Regression, Logistic, and Proportional Hazards Regression, Analysis of Variance, Control in Physiology and Medicine. Experimental design and clinical trials.Demography, collection of demographic data, vital statistics, System of Collection of Vital Statistics, Compilation and presentation of vital statistics, Measures of population, Measures of vital statistics of population: Crude rate, specific rate, annual rate, quinquennial rate, decnnial rate, weekly rate, Morality rate, fertility rate, vita index, life tables, Design and methodology of an experiments, Prospective Studies, Retrospective Studies, Cross-Sectional Studies, Comparative Performance of Prospective, Retrospective, and Cross-Sectional Studies, Clinical Trials, Therapeutic Trials

Course Objectives

Course Outcomes

• Learn different statistical tools for biomedical data analysis. <br />• Correctly choose and apply statistical tools in biomedical engineering and physiological modelling. <br />• Understand the power and weakness of statistics in deriving conclusion. <br />• Apply statistical tools in experimental design and clinical trials.

Essential Reading

Supplementary Reading