Biostatistics and Research methodology book, notes pdf - b pharmacy 4th year (8th semester) - JNTUH

 Biostatistics and Research methodology

 Notes | Books | Syllabus | pdf 

B Pharmacy 4th year (2nd sem) | 8th Semester | JNTUH



UNIT – I   
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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.


UNIT – II

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.

Sample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, essence of sampling, types of sampling, Error-I type, Error-II type, 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.


UNIT – III 

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, 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.


UNIT – IV 

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.


UNIT – V

Design and Analysis of experiments:

Factorial Design: Definition, 22, 23 design. Advantage of factorial design

Response Surface methodology: Central composite design, Historical design, Optimization Techniques.






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