BIOSTATISITCS AND RESEARCH METHODOLOGY

Teacher

Gyanaranjan Parida

Category

Core Courses

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Course Name : BIOSTATISITCS AND RESEARCH METHODOLOGY

Code(Credit) : BPHT4201 (4-0-0)

Course Objectives

• Know the operation of M.S. Excel, SPSS, R, and MINITAB ®, DoE (Design of Experiment)

• Know the various statistical techniques to solve statistical problems

• Appreciate statistical techniques in solving the problems.

Learning Outcomes

  • To understand the applications of Biostatics in Pharmacy.
  • To deal with descriptive statistics, Graphics, Correlation, Regression, logistic regression Probability theory, Sampling technique, Parametric tests, Non Parametric tests, ANOVA,
  • Introduction to Design of Experiments, Phases of Clinical trials and Observational and Experimental studies, SPSS, R, and MINITAB statistical software’s, analyzing the statistical data using Excel

Course Syllabus

Module-1

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 correlations - Pharmaceuticals examples

Module-2

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, the essence of sampling, types of sampling, Error-I type, Error-II type, Standard error of the 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

Non Parametric tests: Wilcoxon Rank Sum Test, Mann-Whitney U test, Kruskal-Wallis test, Friedman Test

Introduction to Research: Need for research, Need for the 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

Module-4

Blocking and confounding system for Two-level factorials
Regression modeling: 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

Design and Analysis of experiments:
Factorial Design: Definition, 2^2, 2^3design. Advantage of factorial design
Response Surface methodology: Central composite design, Historical design, Optimization Techniques

Session Plan

Session 1

Introduction: Statistics, Biostatistics, Frequency distribution

http://youtu.be/KvTkHxGrCp4

PDFINTRODUCTION (2)

PDFFREQUENCY DISTRIBUTION

Session 2

Measures of central tendency: Mean.

http://youtu.be/Dlh8aUzijkg

PDFMEAN

Session 3

Measures of central tendency: Median, Mode- Pharmaceutical examples

LINK-https://youtu.be/knzrbZ4wWQY

PDFMEDIAN AND MODE

Session 4

Measures of dispersion: Dispersion, Range,

LINK-https://youtu.be/AMTivCkMlFI

PDFDISPERSION

Session 5

Measures of dispersion: Standard deviation, Pharmaceutical problems

LINK-https://youtu.be/Aydqi-mPdf4

PDFSD

Session 6

Correlation: Definition, Karl Pearson’s coefficient of correlation,

LINK-https://youtu.be/z6Wbb3GeT5w

PDFCorrelation (2)

Session 7

Correlation: Multiple correlation - Pharmaceuticals examples

LINK-https://youtu.be/z6Wbb3GeT5w

PDFMultiple correlation.

Session 8

Regression: Curve fitting by the method of least squares,

LINK-https://youtu.be/GSw1a0yyLSo

REGRESSION

Session 9

Regression: Curve fitting by the method of least squares,

LINK-https://youtu.be/g1uNSL5CYbE

PDFRegression

Session 10

Regression: fitting the lines y= a + bx and x = a + by

LINK-https://youtu.be/knESk87ydxw

PDFCURVE FITTING

Session 11

Regression:Multiple regression, standard error of regression– Pharmaceutical Examples

https://youtu.be/C8bwrXI71zU

PDFMULTIPLE REGRESSION

Session 12

Probability:Definition of probability, Binomial distribution

https://youtu.be/ug3q0M6SflM

PDFBINOMIAL DISTRIBUTION

Session 13

Probability: Normal distribution, Poisson’s distribution, properties - problems

LINK-https://youtu.be/hfBeF8jdO6U

https://youtu.be/VIH1DL77TN4

PDFNORMAL DISTRIBUTION

PDFPOISSON DISTRIBUTION

Session 14

Probability: Sample, Population, large sample, small sample

https://youtu.be/wye3zABM9_M

PDFSAMPLING

Session 15

Probability: Null hypothesis, alternative hypothesis

https://youtu.be/Hjx8kM8UcLU

PDFNULL AND ALTERNATE HYPOTHESIS

Session 16

Probability: sampling, essence of sampling, types of sampling, Error-I type, Error-II type

https://youtu.be/IsevYLt9P5A

PDFSAMPLING AND ERROR

PDFTYPE-I AND II ERROR

Session 17

Probability: Standard error of mean (SEM) - Pharmaceutical examples

https://youtu.be/J1twbrHel3o

PDF SEMSEMSEM

Session 18

Parametric test: t-test(Sample, Pooled or Unpaired and Paired) ,

https://youtu.be/_xc-8S5UuTE

PDFT-TEST

Session 19

Parametric test: ANOVA, (One way and Two way)

https://youtu.be/CgpCybhj6DY

PDFANOVA

Session 20

Parametric test: Least Significance difference

https://youtu.be/_xc-8S5UuTE

PDFLSD

Session 21

Non Parametric tests: Wilcoxon Rank Sum Test, Mann-Whitney U test

https://youtu.be/1hgEfQuP_HE

https://youtu.be/fEobVCV2TJE

PDFWilcoxon Rank Sum Test

PDFMann-Whitney U test

Session 22

Non Parametric tests: Kruskal-Wallis test, Friedman Test

https://youtu.be/GngkLlen-LM

https://youtu.be/-m14v1tusLY

 

PDFKruskal-Wallis test

PDFFriedman Test

Session 23

Introduction to Research: Need for research, Need for the design of Experiments, Experiential Design Technique, plagiarism

https://youtu.be/7GrLUYC_SIo

PDFRESEARCH

Session 24

Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph

https://youtu.be/4ZGa4sjJWZ0

PDFGRAPHICAL REPRESENTATATION OF DATA

Session 25

Designing the methodology: Sample size determination and Power of a study

PDFSAMPLE SIZE DETERMINATION

https://www.youtube.com/watch?v=5eiOYojjKyA

Session 26

Designing the methodology: Report writing and presentation of data, Protocol

https://www.youtube.com/watch?v=_WDB6OS4bI4

PDFREPORT WRITING

Session 27

Designing the methodology: Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.

https://www.youtube.com/watch?v=M4-Fak3l_c0

PDFCohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.

Session 29

Regression modeling: Hypothesis testing in Simple and Multiple regression models

https://www.youtube.com/watch?v=vtQyqqn3Vxc

pdfhypothesis testing

Session 30

Introduction to Practical components of Industrial and Clinical Trials Problems: Statistical Analysis Using Excel, SPSS

pdfclinical trial

Session 31

Introduction to Practical components of Industrial and Clinical Trials Problems: MINITAB®, DESIGN OF EXPERIMENTS

https://www.youtube.com/watch?v=XONjN7mvosI

PDFMINITAB,DOE

Session 32

Introduction to Practical components of Industrial and Clinical Trials Problems: R - Online Statistical Software’s to Industrial and Clinical trial approach

https://www.youtube.com/watch?v=6trcmHIF1fk

PDFR-ONLINE

Session 33

Design and Analysis of experiments: Factorial Design: Definition, 2^2, 2^3design

https://www.youtube.com/watch?v=JnHxHxN5JEY

PDFFACTORIAL DESIGN

Session 34

Design and Analysis of experiments: Advantage of factorial design

PDFFACTORIAL DESIGN

Session 35

Response Surface Methodology: Historical design, Optimization Techniques

https://www.youtube.com/watch?v=Dt1bHJoj0zI

PDF Response Surface Methodology Historical design, Optimization Techniques

Session 36

Response Surface methodology: Central composite design

https://www.youtube.com/watch?v=f95B06bRfec

PDFCCD

Recommended Books (Latest edition):

1. Pharmaceutical statistics- Practical and clinical applications, Sanford Bolton, publisher Marcel Dekker Inc. NewYork.
2. Fundamental of Statistics – Himalaya Publishing House- S.C.Guptha
3. Design and Analysis of Experiments –PHI Learning Private Limited, R. Pannerselvam,
4. Design and Analysis of Experiments – Wiley Students Edition, Douglas and C. Montgomery

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