Physician — Biostatistics & Research

Summarizing Data - Description: This day focuses on understanding different types of data (nominal, ordinal, interval, ratio) and how to summarize data using descriptive statistics. We will cover measures of central tendency (mean, median, mode) and measures of dispersion (range, standard deviation). - Resources/Activities: - Expected Outcomes: Identify and differentiate between various data types. Calculate and interpret measures of central tendency (mean, median, mode) and measures of dispersion (range, standard deviation). Understand when to use different descriptive statistics.

Foundations of Inference - Description: This day introduces the concepts of probability and probability distributions, which are fundamental to statistical inference. We will focus on the basics of probability, the normal distribution, and its importance in biostatistics. - Resources/Activities: - Expected Outcomes: Understand basic probability concepts. Understand the properties of the normal distribution. Use a normal distribution calculator to determine probabilities and percentiles.

The Basics - Description: This day introduces the core concepts of hypothesis testing. You will learn about null and alternative hypotheses, p-values, alpha levels, and the steps involved in hypothesis testing. - Resources/Activities: - Expected Outcomes: Understand the principles of hypothesis testing. Define null and alternative hypotheses. Understand the meaning of p-values and alpha levels.

Estimating Population Parameters - Description: This day focuses on confidence intervals, which are used to estimate population parameters (e.g., the population mean or proportion) based on sample data. You'll learn how to calculate and interpret confidence intervals. - Resources/Activities: - Expected Outcomes: Understand the concept of confidence intervals. Calculate and interpret confidence intervals for means and proportions. Recognize the relationship between confidence intervals and hypothesis testing.

T-tests - Description: This day introduces t-tests, a commonly used statistical test in medical research. We'll cover independent samples t-tests and paired t-tests. - Resources/Activities: - Expected Outcomes: Understand when to use t-tests. Perform basic calculations for t-tests (using example data). Interpret results from t-tests.

Basic Principles - Description: This day provides a basic introduction to critical appraisal. Learn how to critically evaluate research articles, including identifying key components and limitations. We will discuss basic questions to ask when reading a medical research paper. - Resources/Activities: - Expected Outcomes: Understand the basic principles of critical appraisal. Be able to identify key components of a research article (e.g., study design, results). Start to formulate questions to ask when reading a medical research paper.