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Experimental Pharmacology written by Dr. Bhavana Srivastava and Dr. Sanjay Gaur.(NCBA)
Original price was: ₹235.00.₹190.00Current price is: ₹190.00.
Core Curricular Topics Covered
The text focuses heavily on moving beyond basic univariate techniques into complex, multi-variable analytical approaches:
- Multivariate Analysis Foundations: Transitioning from simple variables to analyzing multiple dependent and independent biological variables simultaneously.
- Discriminant Analysis: Statistical techniques to classify clinical or biological sample units into distinct groups (e.g., distinguishing diabetic vs. non-diabetic cohorts based on socioeconomic or physical factors).
- Regression Modelling:
- Linear bivariate and multivariate regression models.
- Curved, logarithmic, and polynomial regression analysis for non-linear biological processes.
- Estimation & Matrices: Matrix approaches to handling large-scale biological datasets alongside means estimation.
- Error & Normality Verification: Methods to verify the normality of error terms and identify statistical outliers in medical datasets.
Methodological Contexts
The book frames these mathematical principles around practical, real-world scientific applications:
- Experimental Design: Formulating frameworks for clinical trials, genetics data, and microbiological experiments.
- Public Health Metrics: Specifically tailored to analyze community health demographics, public health interventions, and epidemic data modeling.
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