Lectures related to Model Formulas in R: Basics and Applications

R Programming: Conditions, Loops, Functions & Graphics

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Introduction to R Programming for Genetics & Genomics

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

ANOVA & Moderation

Covers ANOVA, mediation, and moderation analyses in R for CS-411 Digital Education.

Factorial Experimental Design

Covers factorial experimental design, 2-way ANOVA, interaction plots, and unbalanced designs.

Statistics essentials: ANOVA

Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.

Experimental Design: Strategies and Analysis

Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

Experimental Research Design: T-Test Analysis

Explores digital lesson development, experimental research, t-tests, ANOVA, and statistical analysis using R.

Survival Analysis: Cox Proportional Hazards Model

Introduces the Cox proportional hazards model for survival analysis, covering estimation, assessment of assumptions, and interpretation using residuals.

Experimental Design in Genomic Data Analysis

Emphasizes experimental design in genomic data analysis, addressing technical variability, batch effects, and statistical solutions.

ANOVA in Full Factorial Designs

Explores replicates, ANOVA, and factor elimination in full factorial designs using ANOM tables and model equations.

Binomial Distribution in R

Introduces the Binomial distribution in R with examples of n coin tosses.

Design of Experiments: Statistical Design and Analysis

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Fractional Factorial Design: Main Effects and Interactions

Explores fractional factorial design, emphasizing main effects and interactions in experimental design.

Experimental Design and Analysis

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Experimental Design in Biostatistics

Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.

Fractional Factorial Example and Higher Order Equations

Covers the design of a catapult experiment and higher order equations.

DOE Qualitative factors III

Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.

Introduction to Fractional Factorial Designs

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Graphical Analysis of Full Factorials

Explores the graphical analysis of full factorial experiments, emphasizing efficient data analysis and interpretation of main effects and interactions.

Introduction to ANOVA

Covers the basics of ANOVA using a case study on sleeping pill effectiveness.