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Introduction to Survival Analysis
01:01:04
Normal Probability Distribution
43:29
Tests of Independence [χ^2 test (incl. Yate's continuity correction) and Fisher's exact test] in R
35:59
Inference involving Proportions [z-test for proportions & Chi-square test of homogeneity] in R
51:35
Analysis of Variance [Fisher's, Welch's & Repeated Measures, incl. applications using R or RStudio]
01:16:11
Inference involving Two Means [Student's, Welch's, Paired t-test] including using R (or RStudio)
01:40:13
Introduction to Hypothesis Testing: Statistical Inference involving μ (One-sample z-test & t-test)
01:05:57
Normal Probability Distribution [using pnorm and qnorm functions in R (or RStudio)]
12:20
Descriptive Statistics using R (an Introduction)
36:33
Study Designs in Medicine
21:03
Descriptive Statistics using Microsoft Excel (including the Analysis Toolpak)
06:43
Descriptive Statistics [Measures of Central Tendency, Other Position, and Variability]
49:00
Introductory Concepts in Statistics
17:16
Classification Models Using RapidMiner™
37:10
Applications of Modular Arithmetic
16:59
Modular Arithmetic and Modulo Congruence
18:13
Methods of Apportionment
25:08
The Mathematics of Voting
24:12
Reasoning: Validating Arguments using Binary Operations
26:37
The Language of Mathematics and Symbols
20:09
Mathematics in Our World
23:23
Receiver Operating Characteristic (ROC) Curve Analysis for Optimal Cut-off in Disease Identification
36:08
Binary Logistic Regression using R (or RStudio)
37:29
Multiple Linear Regression using R
35:44
Correlation and Simple Linear Regression using R
32:05
Diagnostic Test
18:12
Odds and Odds Ratio
20:40
Risk and Risk Ratio
19:45
Quick Review: Conditional Probability
04:48