CBM336 Biostatistics Syllabus:
CBM336 Biostatistics Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES
The objective of this course is to enable the student to
Understand the statistical methods for the data.
Comprehend the fundamental of mathematical and statistical theory in the application of biomedical field.
Apply the regression and correlation analyze in the physiological data.
Understand the source of Medical data
Understand the Visual analytics of Healthcare data.
UNIT I INTRODUCTION
Introduction, Some basic concepts, Measurement and Measurement Scales, Simple random sample, Computers and medical data analysis, Introduction to probability, likelihood & odds, distribution variability.
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, ratio of two population variances and tests of goodness of fit, tests of independence, tests of homogeneity.
UNIT III REGRESSION AND CORRELATION ANALYSIS
Introduction, regression model, sample regression equation, evaluating the regression equation, using the regression equation, correlation model, correlation coefficient.
UNIT IV INTERPRETING DATA
Interpreting life tables clinical trials, epidemical reading and interpreting of epidemical studies, application in community health.
UNIT V 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.
30 PERIODS
LAB COMPONENT 30 PERIODS
Students need to use appropriate software tools to implement the following,
1. Identify quantitative, ordinal, and categorical measurements from the data
2. Construct and interpret stem plots and histograms,
3. Construct and interpret frequency tables, calculate and interpret means, standard deviations, medians, and quartiles
4. Calculate and interpret Normal probabilities and values.
5. Calculate and interpret confidence intervals for means
6. Calculate hypothesis test means and power or sample size estimates when testing means.
7. Tests of goodness of fit tests of independence, tests of homogeneity
8. Calculate the regression equation
9. Calculate correlation coefficient
10. Interpreting life tables clinical trials
11. Calculate and interpret relative risks and confidence intervals for relative risks
12. Data can be downloaded from following or from any known data source
https://hbiostat.org/data/
https://biolincc.nhlbi.nih.gov/teaching/
https://libguides.denison.edu/c.php?g=776168&p=5661119
https://guides.lib.berkeley.edu/publichealth/healthstatistics/rawdata
TOTAL: 60 PERIODS
COURSE OUTCOMES
Upon successful completion of the course, students will be able to
CO1: Define the new and existing statistical methodology for their research problem.
CO2: Explain p- values for different statistical tests.
CO3: Analyze the biomedical research data and be able to report the study results.
CO4: Describe the various sources of medical data
CO5: Demonstrate the visual analytical procedure of Medical Data.
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
4. Editors: Chandan K. Reddy, Charu C. Agarwal, Healthcare Data Analytics, CRC Press
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.