BIOSTATISITCS AND RESEARCH METHODOLOGY

Teacher

Gyanaranjan Parida

Category

Core Courses

Course Attendees

Still no participant

Course Reviews

Still no reviews

Course Name : BIOSTATISITCS AND RESEARCH METHODOLOGY

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

Course Objectives

CO  Statement Mapping with PO
CO1  To Know the operation of M.S. Excel, SPSS, R and MINITAB®, DoE (Design of Experiment) PO2, PO3,

PO10,PO11

CO2 To Know the various statistical techniques to solve statistical problems PO1, PO2,

PO5,PO10

CO3 Appreciate statistical techniques in solving the problems. PO1, PO2,

PO5,PO10

Course 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

Our Main Teachers