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Biostatistics and Research Methodology Notes – Bpharm

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In this post you can download notes of Biostatistics and Research Methodology (BP801T). All units are available to download for free.

Biostatistics and Research Methodology Notes Unit 1 – 5

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 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 – 4

Blocking and confounding system for Two-level factorials Regression modeling: Hypothesis testing in Simple and Multiple regressionmodels 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, 22, 23design. Advantage of factorial design Response Surface methodology: Central composite design, Historical design, Optimization Techniques

Bpharm 8th Semester Notes

Biostatistics & Research Methodology

Social & Preventive Pharmacy

Pharma Marketing Management

Pharmaceutical Regulatory Science

Pharmacovigilance

Quality Control & Standardization of Herbals

Computer Aided Drug Design

Cell & Molecular Biology

Cosmetic Science

Pharmacological Screening Methods

Advanced Instrumentation Techniques

Dietary Supplements & Neutraceuticals

Scope of Biostatistics and Research Methodology

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 of Biostatistics and Research Methodology

Upon completion of the course the 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.

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Biostatistics and Research Methodology – B. Pharma 8th Semester Notes Pdf

Biostatistics and research methodology – b. pharma 8th semester notes pdf.

Scope: To understand the applications of Biostatistics and Research Methodology 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 course the 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.

Course content:

Biostatistics and Research Methodology Unit-I

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

Biostatistics and Research Methodology 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

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 t ype, 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

Biostatistics and Research Methodology 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.

Biostatistics and Research Methodology Unit-IV

Blocking and confounding system for Two-level factorials

Regression modeling: Hypothesis testing in Simple and Multiple regressionmodels 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

Biostatistics and Research Methodology Unit-V

Design and Analysis of experiments:

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

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

Biostatistics and Research Methodology 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

Notes Coming Soon……………….

Also, Visit:

B. Pharma Notes | B. Pharma Notes | Study material Bachelor of Pharmacy pdf

B. Pharma Handwritten Notes

B. Pharma PDF Books

B. Pharma Lab Manual

D. Pharma Lab Manual

B. Pharma 8th Semester Previous Year Question Paper

D. Pharma Notes

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B Pharm 8th Semester Biostatics and Research Methodology Notes

• Post author: Admin
• Post published: May 12, 2022
• Post category: B Pharm Notes
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Biostatics and Research Methodology Notes pdf

Download Biostatics and Research Methodology Notes pdf for B Pharm 4th Year students. This Pharmacy  Biostatics and Research Methodology Notes pdf will clearly give B pharmacy 8th semester students a short overview of all units .

All the Biostatics and Research Methodology Notes pdf available in this website are prepared by the renowned professors from different universities of India .This will help the students to take a good preparation before their final examination.

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Carewell Pharma

Biostatistics and research methodology - 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

Dr. Bhramar Mukherjee to Receive the 2024 Marvin Zelen Leadership Award!

Currently the John D. Kalbfleisch Distinguished University Professor of Biostatistics, Chair of the Biostatistics Department, and Assistant Vice President for Research at the University of Michigan, Dr. Mukherjee is also the Siobán D. Harlow Collegiate Professor of Public Health, and Professor of Epidemiology and Global Public Health at the University of Michigan. She serves as the Associate Director for Quantitative Data Sciences at the University of Michigan Rogel Cancer Center. In addition, she is an Honorary Senior Visiting Fellow at the MRC Biostatistics Unit and an Overseas Fellow of the Churchill College of the University of Cambridge.

Dr. Mukherjee completed a Ph.D. in Statistics from Purdue University in 2001, receiving the Burr Award for outstanding doctoral student in 2001. She was Assistant Professor of Statistics at the University of Florida from 2002-2006, before joining the Biostatistics Department at Michigan. She was awarded the John G Searle Assistant Professorship in 2008 and was promoted to Associate Professor with tenure in 2009, and to Full Professor just four years later. She is currently in her eleventh year as a full professor and ninth year as a named Collegiate Professor. In 2018, she was appointed as the first female chair at the Department of Biostatistics, University of Michigan, a department that was founded in 1949. Her inspirational and visionary leadership at Michigan Biostatistics has positioned the department to thrive in the era of big data and data science.

Dr. Mukherjee is known for her work in case-control studies, gene-environment interaction, electronic health records, data integration and analysis of large-scale environmental exposure data.  Her work in statistical methodology shows an outstanding combination of breadth and depth, ranging from empirical Bayes methods and methods for shrinkage estimation, to Bayesian analysis of time series models, to methods for studying mediation and complex interactions, and causal inference. Her high-impact collaborations have included work in cancer, environmental health, and reproductive epidemiology, in addition to more recent work in infectious diseases. She has co-authored more than 380 published articles in prestigious statistics, biostatistics, epidemiology, and medical journals.

Among Dr. Mukherjee’s expansive portfolio of research, her contribution during the recent global pandemic deserves special mention. In the early days of the pandemic, Dr. Mukherjee founded the COVID-19 study group to model the virus outbreak in India. Comprising scholars at the University of Michigan, other US universities, and India, the focus of the study group was on modeling the effect of non-pharmaceutical interventions on the transmission of the virus in India.  The group used a compartmental epidemiologic model to track the virus curve and provide predictions that are updated daily.

Dr. Mukherjee has received many awards for her research in the professional world of statistics including the Gertrude Cox Award, the Adrienne Cupples Award, the Janet Norwood Award, and the Sacks Award. In 2022, she was elected to the US National Academy of Medicine, a rare achievement for a statistician.  Dr. Mukherjee is a much-sought speaker and has given over 300 invited talks on her research in the last 10 years. She has been particularly successful in obtaining research grants as principal investigator – serving as PI on nearly fifteen grants, including multiple statistical methodology grants from the NIH and the NSF. She has served as associate editor on eleven journals in statistics and epidemiology and participated in many NIH grant review panels.

Dr. Mukherjee has a remarkable record of leadership, particularly notable for her efforts to advance careers of women and underrepresented groups in statistics and data science, and to train the next generation of scholars. Dr. Mukherjee is the founding director (2015-present) of the University of Michigan’s Big Data Summer Institute for undergraduate trainees, a program supported by Rogel Cancer Center as well as an NIH R25 grant. To date, the Big Data Summer Institute has engaged and trained nearly 300 undergraduate students since it was launched; more than 50% of participants are women and more than 20% from underrepresented minority backgrounds.

The range, depth, and innovation of Dr. Mukherjee’s research contributions are exceptional among scholars in statistical science. Her exceptional work on the COVID-19 pandemic, her achievements in global health, her inspiring leadership at Michigan Biostatistics and her impactful statistical and epidemiological research, make her a worthy recipient for the Marvin Zelen Leadership Award. Most importantly, she is a dynamic and highly engaging scientist and a visionary leader who connects and builds communities, reflecting the spirit of Marvin Zelen.

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