In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This five-part lecture series will help participants better understand statistical and epidemiological features in biomedical research, interpret results and findings, design and prepare studies, and understand/critically review the results in published literature. Part 1 will address fundamental statistical concepts including hypothesis testing, p-values and confidence intervals, types of data and their distributional importance, and bias and confounding. During the class, time will be devoted to questions from attendees and references will be provided for in-depth self-study. Although you may attend any part of this series by itself, attending all five parts will provide a more comprehensive review of important statistical and epidemiological considerations that build on each other. You must register separately for each part of this class series.

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This five-part lecture series will help participants better understand statistical and epidemiological features in biomedical research, interpret results and findings, design and prepare studies, and understand/critically review the results in published literature. Part 2 will provide a review of study designs in biomedical research. This class will cover details related to case studies/series, ecological, cross-sectional, case-control, and cohort studies, clinical trials, and other study designs and considerations. During the class, time will be devoted to questions from attendees and references will be provided for in-depth self-study. Although you may attend any part of this series by itself, attending all five parts will provide a more comprehensive review of important statistical and epidemiological considerations that build on each other. You must register separately for each part of this class series.

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This five-part lecture series will help participants better understand statistical and epidemiological features in biomedical research, interpret results and findings, design and prepare studies, and understand/critically review the results in published literature. Part 3 will describe the basic concepts for using common statistical tests such as Chi-square, paired and two-sample t-tests, ANOVA, correlations, simple and multiple regression, logistic regression, and survival analysis. During the class, time will be devoted to questions from attendees and references will be provided for in-depth self-study. Although you may attend any part of this series by itself, attending all five parts will provide a more comprehensive review of important statistical and epidemiological considerations that build on each other. You must register separately for each part of this class series.

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This five-part lecture series will help participants better understand statistical and epidemiological features in biomedical research, interpret results and findings, design and prepare studies, and understand/critically review the results in published literature. Part 4 will provide a brief review of the principles of epidemiology, outbreak investigations, implications in public health, key concepts and terms, and commonly used statistics in epidemiology (e.g., morbidity and mortality rates; incidence and prevalence; relative risk; odds ratio; sensitivity and specificity). The instructor will present a set of exercises to work through during the lesson (a calculator will be needed). Although you may attend any part of this series by itself, attending all five parts will provide a more comprehensive review of important statistical and epidemiological considerations that build on each other. You must register separately for each part of this class series.

The purpose of this class is to introduce the fundamentals of conducting a meta-analysis. The focus will be on randomized clinical trials; however, the presenter will also briefly discuss the application of meta-analyses in laboratory and observational (epidemiological) studies. 

The audience should have an acquaintance with basic statistical concepts (including, but not limited to: dichotomous and continuous outcomes, odds ratios, standard deviation and error, weighted average, fixed and random effects and associated models, etc.). However, it will only be necessary to understand the principles and interpretation of these ideas, not the underlying mathematics and calculations to learn the principles presented. This class will not contain a “hands-on” portion or a set of exercises to be completed in a statistical software package during the training or afterwards.

This class will be taught by the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES).