| Course Name | Biostatistics |
| Course Code | 24MMD114 |
| Program | B. Sc. Honors (with Research) in Molecular Medicine |
| Semester | 2 |
| Credits | 2 |
| Campus | Kochi |
Strategy to execute research is central to the successful completion and execution of a scientific endeavour. Based on the literature, several methodologies have been developed to tailor a particular strategy and the appropriate use of sample numbers for reliable results and meaningful outcome.
Introduction to Biostatistics-Need for Statistical Methods in Medicine, Public Health, Biology, Biotechnology & Nano Sciences – Their uses and Misuses, Types of Variables, Data collection Methods, Population and Sample. Linear Algebra – Set Theory – Sets and operations on sets.
Descriptive Data Analysis Methods – Statistical Tables, Diagrams & Graphs, Measures of Averages, Measures of Dispersion, Correlation Analysis Methods, Regression Analysis Methods. Theory of probability and Standard Distributions- Frequency and classical definition of probability, Axiomatric definition of probability, Addition and multiplication theorems, Conditional probability and independence, Random Variables.
Probability Distributions :- Definition of discrete and continuous random variables, Probability density functions and distribution functions, Standard univariate discrete distributions – Binomial, Poisson, Standard univariate continuous distributions – Normal, standard normal. Logic of Statistical Inference- Concept of parameter and statistic ‘, Estimators and its properties, point and Interval estimation of parameters, Confidence intervals, concept of standard error. Principles of statistical tests of significance, Methods of tests of Significance of Significance of Statistical Hypotheses- Concept of Statistical Hypotheses – Null and Alternative hypotheses, Type I and Type II errors, Significance level, Critical region and Power of a test , p- value and its interpretation; Large and Small Sample Test – Normal test, Student’s ‘t’ test, Chi-square tests, Analysis of variance.
Program Specific Outcomes. (PSO)
PSO 1 – Chemical and physical basis of biology
PSO 2 – Computational science in biology and medicine
PSO 3 – Biochemical and physiological complexity in biology and medicine
PSO 4 -Molecular technology in biology and medicine
PSO 5 – Cell based approaches in diagnosis and therapy
PSO 6 – Microorganisms in medicine
PSO 7 -Nanoscale entities and its significance in medicine
PSO 8 – Tissue architecture engineering in medicine
PSO 9 – Compounds as drugs and its efficacy
PSO 10 – Bioinformatics and artificial intelligence in medicine
PSO 11 –Technology in personalizing medicine
PSO 12 – Protein structural complexity in medicine
PSO 13 – Projecting science and medicine to public
PSO 14 – Advanced knowledge in statistical techniques for medical research
PSO 15 – Skills in handling research data and presentation of results
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