Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Basic

Description: Statistical Reasoning in Public Health I provides a broad overview of biostatistical methods and concepts used in the public health sciences, emphasizing interpretation and concepts rather than calculations or mathematical details. It develops ability to read the scientific literature to critically evaluate study designs and methods of data analysis, and it introduces basic concepts of statistical inference, including hypothesis testing, p-values, and confidence intervals. Topics include comparisons of means and proportions; the normal distribution; regression and correlation; confounding; concepts of study design, including randomization, sample size, and power considerations; logistic regression; and an overview of some methods in survival analysis. The course draws examples of the use and abuse of statistical methods from the current biomedical literature.

Continuing Education Credits: N/A

Source: ClinDescience Consultancy for Drug and Clinical Development

Type: Article

Level: Basic

Description: This article reviews types of clinical trials and sampling strategies.

Continuing Education Credits: N/A

Source: Johns Hopkins Bloomberg School of Public Health

Type: PowerPoint & Lecture Materials

Level: Basic

Description: Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Continuing Education Credits: N/A