BM3651 Fundamentals of Healthcare Analytics Syllabus:
BM3651 Fundamentals of Healthcare Analytics Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
The objective of this course is to enable the student to
Understand the statistical methods for the design of biomedical research.
Comprehend the fundamental of mathematical and statistical theory in the application of Healthcare.
Apply the regression and correlation analyze in the healthcare data.
Understand the Meta analysis and variance analysis.
Interpret the results of the investigational methods.
UNIT I INTRODUCTION
Introduction, Computers and bio statistical analysis, Introduction to probability, likelihood & odds, distribution variability. Finding the statistical distribution using appropriate software tool like R/ Python.
UNIT II STATISTICAL PARAMETERS
Statistical parameters p-values, computation, level chi square test and distribution and hypothesis testing -single population proportion, difference between two population proportions, single population variance, tests of homogeneity. Testing of statistical parameters using appropriate software R / Python.
UNIT III REGRESSION AND CORRELATION ANALYSIS
Regression model, evaluating the regression equation, correlation model, correlation coefficient. Finding regression, correlation for the data using appropriate software like R / Python.
UNIT IV ANALYSIS OF VARIANCE
META analysis for research activities, purpose and reading of META analysis, kind of data used for META analysis, completely randomized design, randomized complete block design, repeated measures design, factorial experiment. Testing the variance using appropriate software tool like R / Python.
UNIT V CASE STUDIES
Epidemical reading and interpreting of epidemical studies, application in community health, Case study on Medical Imaging like MRI, CT. Case study on respiratory data, Case study on ECG data.
TOTAL: 45 PERIODS
COURSE OUTCOMES
On successful completion of this course, the student will be able to
CO1:Define the new and existing statistical methodology for their research problem.
CO2:Explain p- values for different statistical test.
CO3:Analyze the biomedical research data and able to report the study results.
CO4:Enumerate the Meta analysis and variance analysis.
CO5:Describe problems of human health and disease for the interest of advancing the public’s Health.
TEXT BOOKS:
1. Wayne W. Daniel, Biostatistics-A Foundation for Analysis in the Health Sciences, John Wiley & Sons Publication, 10th Edition, 2013.
2. Peter Armotage, Geoffrey Berry and J.N.S.Mathews, Statistical methods in Medical Research, Wiley-Blackwell, 4th Edition, 2001.
3. Bernard Rosner. Fundamentals of biostatistics. Nelson Education, 8th Edition 2015 ISBN:978-1-305-26892-0
REFERENCES:
1. Marcello Pagano and Kimberlee Gauvreu, Principles of Biostatistics, Chapman and Hall/CRC, 2ndEdition, 2018.
2. Ronald N Forthofer and EunSul Lee, Introduction to Biostatistics, Academic Press, 1st Edition, 2014.
3. Animesh K. Dutta, Basic Biostatistics and its Applications, New Central Book Agency, 1st Edition, 2006.