Epidemiology & Biostatistics – USMLE Prep Videos
Comprehensive video series covering key concepts in epidemiology and biostatistics, including study designs, statistical analysis, risk assessment, and screening tests for USMLE preparation.
Biostatistics and Design of Experiments
The course encompasses topics such as distribution of data, sample size, tests of significance, data reduction, regression analysis, comparison of performance of drugs in clinical trials, design of experiments, screening and second order designs.
Introduction to Biostatistics
In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.
Biostatistics Tutorial for Beginners to Experts
Comprehensive biostatistics tutorial covering key concepts from basics to advanced topics, including data analysis, probability, medical decision-making, epidemiology, and research design.
Biostatistics Using R Course
Learn biostatistics with R: from basics to advanced topics like probability, inferential statistics, mixed modeling, and regression analysis. Gain practical skills for data analysis in biological sciences.
Biostatistics and Research Methodology
Comprehensive exploration of biostatistics and research methodology, covering statistical concepts, sampling techniques, hypothesis testing, and research design for pharmacy students.
Assignment Control Plots for Causal Inference Study Design - Rocky Aikens
Explore visual tools for causal inference study design, focusing on assignment-control plots to analyze covariate distribution and improve observational and experimental studies.
Computational Modeling of Blood Cancer Evolution and Patient Prognosis
Explore a 47-minute lecture on computational modeling techniques for blood cancer evolution and patient prognosis. Delve into cutting-edge research presented by Thomas Stiehl from RWTH Aachen University as part of the Fields Institute's Thematic Program…
PheWAS and UKBB in Medical and Population Genetics - 2024 MPG Primer
Explore phenome-wide association studies (PheWAS) and UK Biobank (UKBB) applications in medical and population genetics, focusing on complex trait analysis and large-scale genomic data.
Polygenic Risk Scoring for Coronary Artery Disease
Explore polygenic risk scoring for coronary artery disease with expert insights on genetic factors, risk assessment, and potential clinical applications in cardiovascular medicine.
Noncompartmental vs. Compartmental Approaches to Pharmacokinetic Analysis
Explore noncompartmental and compartmental approaches to pharmacokinetic analysis, gaining insights into rational drug development and therapeutic utilization.
Study Design Part 2 - Statistical Considerations in Preparing Your Research Protocol - Lecture 3
Explore statistical considerations for study design, including sample size, power analysis, and data analysis planning for clinical and translational research.
Study Design Part 1: Survival Analysis - Lecture 2C
Explore survival analysis techniques for clinical research, covering key concepts and applications in study design and data interpretation.
Study Design Part 1: Randomized Clinical Trials - Presentation 2B
Explore randomized clinical trial design principles and methodologies for effective medical research and evidence-based practice.
Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture
Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
Biostatistics
Explore advanced biostatistics techniques, from ANOVA to experimental design, enhancing your ability to analyze scientific data and interpret research papers effectively.
R Beginner
Learn to create basic graphs in R Studio, including bar plots, scatter plots, and box plots. Explore ggplot for data visualization and run simple programs for biological applications.
Biostatistics and Epidemiology Lecture Series
Comprehensive lecture series covering essential biostatistics and epidemiology concepts, from basics to advanced topics like probability, statistical inference, and survival analysis.
Statistical Methods - Biostatistics
Comprehensive biostatistics training covering hypothesis testing, z-test, t-test, chi-square test, F-test, and ANOVA. Includes theory, applications, and problem-solving for robust statistical analysis in biological research.
Biostatistics
Comprehensive introduction to biostatistics covering key concepts, probability, distributions, hypothesis testing, and statistical analysis methods for healthcare and research applications.
Biostatistics Mini-Lectures
Explore essential biostatistical analysis techniques through concise presentations, covering correlation, t-tests, ANCOVA, MANOVA, non-parametric analysis, and more.