Course : Biostatistics and Mathematical Biology

Lecture Name Click to Open
Biostatistics and Mathematical Biology Course Introduction
FELIX M5S1 Section 1 Frequency Distribution Graphs
M3S2 Section 2 Levels of measurements
M3S3 Permissible transforms and permissible statistics
M4S1 Section 1 Introduction to Data Summarization
M4S2 Section 2 Frequency Distribution Tables
M4S3 Section 3 Contingency Tables and Summary Tables
M6S2 EXCEL PART 2
M7S1 Descriptive statistics: Point estimates Mean
M7S2 Descriptive statistics: Point estimates Median and Mode
M7S3 Descriptive statistics: Point estimates Percentiles
M9S1 Section 1 Overview of various error bars
M9S2 GraphPad Prism Practice File
M10S4 Normality Test in Prism Only Video
M10S5 Outlier test in Prism Only Video
M10 Sec 1
M10 Sec 2
M10 Sec 3
M11S1 Section 1 Theory of CI and CI of Mean
M11S2 Concepts of Population, Sample and Confidence Interval
M12S1 Statistical Hypothesis Testing
M12S2 False positive and false negative
M13S1 Significance Level, P Values, Statistical Significance
M13S2 P value fallacies, Data torture
M14S1 Relationship between CI and P values
M14S2 Testing for Equivalence and Noninferiority
M15 S1 STATISTICAL POWER AND CHOOSING THE RIGHT SAMPLE SIZE
M15 S2 STATISTICAL POWER AND CHOOSING THE RIGHT SAMPLE SIZE
M16 S1 t Distribution and tests of significance based on t distribution
M16 S2 t Distribution and tests of significance based on t distribution
M16 S3 t Distribution and tests of significance based on t distribution
M17 S1 F Distribution and tests of significance based on F distribution
M17 S2 F Distribution and tests of significance based on F distribution
M18S1 Post Hoc Tests
M19S1 χ2 –Distribution and χ2 test of Independence
M19S2 χ2 test of Goodness of Fit
M20S1 Proportions, Rates
M20S2 Risk, NNT, Odds Ratio, Fisher’s Exact test and Binomial test
M21S1 Continuous probability distributions Gaussian and Lognormal Distributions
M21S2 Discrete probability distributions Binomial and Poisson Distributions
M22 S1 pearsons correlation
M22 S2 MULTIPLE CORRELATION AND PCA
M23 S1 Regression Vs Correlation CORRECTION
M23 S2 Simple Linear regression CORRECTION
M23 S3 Mistakes to avoid in Simple Linear Regression
M24 S1 Non-linear Regression
M24 Section 2: Multiple Regression
M24 Section 3: Logistic Regression
M25 S1 Section 1 Mann Whitney U Test and Wilcoxon matched pairs signed rank test
M25 S2 Section 2 Kruskal Wallis Test and Spearman’s Rank Correlation Test
M25 S3 Section 3 Choosing between parametric and nonparametric tests
M26 S1 FCP and Permutations
M26 S2 Combinations
M27 Section 1: Probability-Basics
M27 Section 2: Addition Rule and Mathematical Expectation
M29- Section 4: Excel Regression
M29- Section 5: Excel Cat tests
M29- Section 6: Graphpad Prism: Introduction
M29- Section 7: Graphpad Histo Normality
M29- Section 8: Graphpad t ANOVA
M29- Section 9: Graphpad Plotting significance
M29- Section 10: Graphpad Regression
M29- Section 11: Graphpad Tests for Categorical
M29- Section: 1 Excel overview
M29-Section: 2 Excel data Summarization
M29-Section: 3 Excel comparing means
M 28 S1 Section 1 Likelihood
M 28 S2 Section 2 Bayes’ Theorem
M 28 S3 Section 3 Probability Trees
MGF FELIX M5S2 Section 2 Univariate Graphs
MGF FELIX M5S3 Section 3 Multivariate and Specialist Graphs
Module 03 Section 01 Variables
Module 6 Charting With Excel Part 1
Module 8: Measures of Dispersion: Descriptive Statistics: Interval Estimates _ SEM, CV and CD
Module 8 Measures of Dispersion : Interval Estimates Part 1_ Introduction, Range, IQR, MAD
Module 8 Measures of Dispersion: Interval Estimates Part 2_ Variance and Standard Deviatio
Module 30 Sec 2 Statistical pitfalls to avoid
Week 01- Introduction
Week 01 - Module 01- Section 01: Introduction, Scope and Philosophical Fram
Week 01 - Module 01- Section 02: Critical Thinking
Week 01 - Module 01- Section 03: Scientific methodology
Week 01 - Module 02- Section 01: Types of Studies - Observational Studies
Week 01 - Module 02- Section 02: Types of Studies - Experimental Studies
Week 01 - Module 02- Section 03: Types of Studies - Classification Based on
Week 01 - Summary
Week 2 Closing Video
Week 2 Introduction
Week 3 Closing Video
Week 3 Opening Video
Week 4 Closing Video
Week 4 Opening Video
Week 5 Closing Video
Week 5 Opening Video
Week 10 Introduction
Week 10 Sum up
Week 12 Closing
Week 12 Opening
WEEK 9 INTRODUCTION
WEEK 9 SUM UP
WEEK 11 Closing
WEEK 11 Opening
WEEK INTRODUCTION 6 Closing
WEEK INTRODUCTION 6 Opening
WEEK INTRODUCTION 7 CLOSING
WEEK INTRODUCTION 7 OPENING
WEEK INTRODUCTION 8 CLOSING
WEEK INTRODUCTION 8 OPENING

Course : Biostatistics and Mathematical Biology
Lecture : M22 S2 MULTIPLE CORRELATION AND PCA


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