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