Unit 1:
Introduction to Biostatistics, Definition and scope of biostatistics, Descriptive vs. inferential statistics, Levels of measurement.
Unit 2:
Study Designs in Biomedical Research; Observational studies (cross-sectional, case-control, cohort), Experimental studies (randomized controlled trials), Study biases and confounding factors.
Unit 3:
Data Collection and Management; Data sources and sampling techniques, Data collection instruments, Data cleaning and quality control.
Unit 4:
Descriptive Statistics; Measures of central tendency and dispersion Frequency distributions and graphical presentation of data, Probability distributions.
Unit 5:
Inferential Statistics; Hypothesis testing, Confidence intervals, Parametric vs. non-parametric tests.
Unit 6:
Regression Analysis; Simple linear regression, Multiple linear regression, Logistic regression.
Unit 7:
Survival Analysis; Kaplan-Meier method, Cox proportional hazards model.
Unit 8:
Statistical Software Applications; Introduction to statistical software packages (e.g., R, SAS, SPSS), Data manipulation and analysis using software tools.
Unit 9:
Interpreting and Presenting Statistical Results; Reporting statistical findings, Visualization techniques, Interpreting p-values and confidence intervals.
Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship