In-Person Trainings

Presented by the Research Design, Epidemiology, and Biostatistics Core of Advance-CTR, this bi-monthly Seminar Series offers instruction on data analysis (first Tuesday of each month), and study design (last Thursday of each month). The Seminars are available to attend in-person, or remotely via Zoom. A recording of each Seminar will be made available online for those who are unable to attend. Please email AdvanceRI@brown.edu with any questions.

 

Overview of Study Design
This seminar presents a cursory description of experimental vs. observational studies, including ecological studies, descriptive studies, cross-sectional studies, case-control studies, cohort studies, case reports/series.

 

Exploratory Data Analysis
This seminar presents types of variables, summary statistics, measures of center, basic graphs (boxplots, histograms, etc).

 

Experimental Study Design
Advantages and disadvantages of experimental studies, individual vs. group trials, preventive vs. therapeutic trials, parallel RCTs, factorial study design, new drug trials, sources of potential bias.

 

Introduction to Probability
Language of probability, basic set theory, basic conditional probability and bayes’ theorem, independence, basics of diagnostic test statistics.

 

Longitudinal Study Design; Ecological and Cross-Sectional Studies
Advantages and disadvantages of longitudinal studies, types of analyses used in longitudinal studies, sources of potential bias; advantages and disadvantages of cross-sectional studies, types of analyses used in cross-sectional studies, sources of potential bias in cross-sectional studies, same elements for ecological studies

 

Hypothesis Testing
Null hypotheses, type I and II error, significance level, power, basic sample size calculation

 


Cohort Studies & Case Control Studies

Advantages and disadvantages of cohort studies, prospective vs. retrospective cohorts, types of analyses used in cohort studies, sources of potential bias; advantages and disadvantages of case-control studies, types of analyses used in case-control studies, sources of potential bias

 

Proportions and Means
Estimating one-sample proportions and confidence intervals, comparing proportions for two samples, two-sample inference for proportions

 

Inference with Categorical Variables
Contingency tables, degrees of freedom, chi-square, Fisher’s exact test.