B Pharm Biostatistics and Research Methodology PDF Notes
Updated: Feb 7
B-Pharmers, unleash your inner data detective with B Pharm Biostatistics and Research Methodology PDF Notes! Imagine sifting through data like a pro, drawing meaningful conclusions and making informed decisions in healthcare. Buckle up as we explore the exciting world of statistics, probability, and hypothesis testing. We'll learn how to design research studies, analyze data using powerful tools, and interpret results with confidence. From t-tests to chi-square, you'll master the lingo and unlock the secrets hidden within numbers. Remember, research is the foundation of medical advancements, and you'll be equipped to contribute to groundbreaking discoveries! Don't forget the ethical considerations; responsible research is crucial for ensuring patient safety and advancing knowledge for the greater good. By the end of this unit, you'll be a stats whiz, ready to tackle healthcare challenges with data-driven solutions!
Scope
To understand the applications of Biostatics in Pharmacy. This subject deals 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.
Objectives:-
Upon completion of the subject student shall be able to
 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.
B Pharm Biostatistics and Research Methodology PDF Notes
Unit 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 correlation - Pharmaceuticals examples
Unit 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, 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 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 design of Experiments, Experiential Design Technique, plagiarism
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 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
Unit 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