Biostatistics Using R Course

Dive into a comprehensive 3.5-hour course on biostatistics using R programming. Begin with an introduction to R, followed by an exploration of statistical data analysis fundamentals. Progress through probability concepts and inferential statistics, with practical applications in R. Learn advanced techniques such as non-inferiority mixed modeling, distribution fitting, and handling interactions in linear regression. Master the creation of cutoffs, confusion matrices, and ROC curves using R. Conclude with insights into multiple regression and covariate adjustment. Gain hands-on experience applying statistical methods to biological data throughout this in-depth biostatistics course.

Biostatistics Using R: lecture 1 (Introduction to R) _part1_.
Biostatistics Using R: lecture 1 (Introduction to R) _part2_.
Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part1_.
Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part2_.
Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part3_.
Biostatistics Using R: lecture 3 (Probability et al.) _part1_.
Biostatistics Using R: lecture 3 (Probability et al.) _part2_.
Biostatistics Using R: lecture 3 (Probability et al.) _part3_.
Biostatistics Using R: lecture 3 (Probability et al.) _part4_.
Biostatistics Using R: lecture 3 (Probability et al.) _part5_.
Biostatistics Using R: lecture 4 (Inferential et al.) _part1_.
Biostatistics Using R: lecture 4 (Inferential et al.) _part2_.
Biostatistics Using R: lecture 4 (Inferential et al.) _part3_.
Non-inferiority mixed modeling using R.
Fit distribution of data using R.
Account for Interaction in linear regression using R.
Contemplating Cutoffs: Toolkit for cutoffs, confusion matrix and ROC curves using R.
[ARABIC] Multiple regression: covariate adjustment, why ?.