Evidence Based Medicine (Biostatistics)

Course Description Biostatistics is an introductory course designed for first year medical students. It covers descriptive graphical and numerical measures, probability concepts, hypothesis testing, confidence interval estimation, two- sample t-tests, two-sample nonparametric tests, simple categorical data analysis, analysis of variance (ANOVA), and correlation. Course Objectives The main objectives of this course include promoting self-direct learning, reasoning, and problem-solving abilities utilizing basic biostatistical techniques.  At the end of this course students will be able to: -Perform basic biostatistical analysis using a statistical software, (SPSS) -Have better understanding and begin to interpret main results of medical and public health research articles -Participate in medical and public health research

Epidemiological Studies and Research Design

Course Description: The first few sessions of the course are devoted to fundamentals: incidence and prevalence; random error (p values and confidence intervals), risks, and bias. Student will then learn how to investigate an outbreak.  The last sessions focus on study designs, from cohort studies to randomized trials.  Students will be asked to read research articles designed to answer a clinical question and then evaluate its validity and generalizability. Course learning objectives The main objective of the course is to teach students to be critical users of research articles, not to be researchers. At the end of the course, the student should be able to: 1.Find evidence from the research literature to answer a specific clinical question 2.Evaluate the validity, and applicability of research articles to answer specific clinical questions 3.Identify and interpret some of the risk factors affecting patients and the community 4.Identify issues with regards to medical research ethics 5.Know the basics of investigating an outbreak