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Biostatistics & Research Methodology
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We are providing the Biostatistics & Research Methodology book of b.pharm 8th semester by Thakur Publication. Biostatistics & Research Methodology book covered all syllabus as per PCI.
The Biostatistics & Research Methodology book for B.Pharm 8th Semester is a comprehensive guide to statistical methods and research techniques commonly used in the field of pharmacy. It covers topics such as experimental design, hypothesis testing, sampling methods, data analysis, and interpretation of results.
EXPRESS SHIPPING · REVISED EDITION · EXAM-ORIENTED CONTENT
The book also provides practical examples and exercises to help students apply the concepts in real-world situations.
ISBN- 978-93-90570-97-3
AUTHOR- Dr. Akash Ved
Syllabus
BIOSTATISTICS & RESEARCH METHODOLOGY
(Course Code: BP801T)
Module 1 (10 Hours)
Introduction
· Statistics, Biostatistics, Frequency distribution.
Measures of Central Tendency
· Mean, Median, Mode- Pharmaceutical examples.
Measures of Dispersion
· Dispersion, Range, standard deviation, Pharmaceutical problems.
Correlation
· Definition, Karl Pearson’s coefficient of correlation, Multiple correlation -Pharmaceuticals examples.
Module 2 (10 Hours)
Regression
· Curve fitting by the method of least squares, fitting the lines y= a + bx and x = a + by, Multiple regression, standard error of regression– Pharmaceutical Examples.
Probability
· Definition of probability, Binomial distribution, Normal distribution, Poisson’s distribution, properties – problems, Sample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, essence of sampling, types of sampling, Type I Error, Type II Error ,Standard error of mean (SEM)- Pharmaceutical examples.
Parametric Test
· t-test (Sample, Pooled or Unpaired and Paired) , ANOVA, (One way and Two way), Least Significance difference.
Module 3 (10 Hours)
Non-Parametric Tests
· Wilcoxon Rank Sum Test, Mann-Whitney U test, Kruskal-Wallis test, Friedman Test
Introduction to Research
· Need for research, Need for design of Experiments, Experiential Design Technique, and plagiarism
Graphs
· Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph
Designing the Methodology
· Sample size determination and Power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.
Module 4 (08 Hours)
· Blocking and confounding system for Two-level factorials.
Regression Modelling
· Hypothesis testing in Simple and Multiple regression models.
· Introduction to Practical components of Industrial and Clinical Trials Problems.
· Statistical Analysis Using Excel, SPSS, MINITAB®, DESIGN OF EXPERIMENTS, R - Online Statistical Software’s to Industrial and Clinical trial approach.
Module 5 (07 Hours)
Design and Analysis of Experiments
Factorial Design
· Definition, 22, 23design. Advantage of factorial design.
Response Surface Methodology
· Central composite design, Historical design, Optimization Techniques.