Biostatistics and Evidence Appraisal for Radiation Oncologists

Statistics Curriculum Steering Committee:
Jordan Kharofa, MD – University of Cincinnati
Kara Leonard, MD, MS – Brown University
Bailey Nelson, MD – University of Cincinnati

Session 1 – Basic Biostatistics Concepts for Radiation Oncologists

Kara Leonard, MD
Assistant Professor, Department of Radiation Oncology
Warren Alpert Medical School of Brown University

Supplemental material for Session 1
Survival Analysis Excel Sheet
Survival Analysis Worksheet

0:00 -Introduction
2:25- Sensitivity and Specificity, Positive/Negative Predictive Value
21:10- Positive and Negative Likelihood Ratios
28:00- Receiver/Operator Curves
29:33- Pre- and Post-Test Probability
39:35- Survival Analysis
41:50- Kaplan-Meier Curves
1:00:19- Log-Rank Test
1:05:14- Wilcoxon Rank Sum
1:05:32- Cox Proportional Hazard Model

Session 2 – Thinking Better About Cancer Drugs

Vinay Prasad, MD, MPH
Associate Professor, Department of Medicine
University of California, San Francisco

 

Session 3 – Basic Intro Biostatistics for Radiation Oncology Residents

Clifton D. Fuller, MD, PhD
Associate Professor, Department of Radiation Oncology
MD Anderson Cancer Center

Supplemental material for Session 3

0:00- Introduction
5:10-Types of Measurement Scales
6:24- Summarizing and Displaying Data
9:29- Probability Distributions
14:07- Measures of Central Tendency, Measures of Spread
19:00-Graphical Representation
27:44- Sampling Variability, Standard Error
29:00- Confidence Intervals
29:53- Sample Size and Variability of Mean
30:45- Significance Testing
48:45- Statistical Error
51:00- t-Tests
53:45- Means of More than Two Samples
55:50- Multiple Comparisons and p-values
56:30- Mann-Whitney Test
58:05- Kruskal-Wallis H-Test

Session 4Non-experimental Studies and Observational Data

David Sher, MD, MPH
Associate Professor, Department of Radiation Oncology
UT Southwestern

0:00- Introduction
6:12- Bias
8:15- Confounding
11:18- Effect Modification
12:09- Fundamental Comparisons
14:38- Univariable Calculations
15:54- Fisher Exact Test
20:01- Chi-squared Test
26:32 Pearson Correlation
28:30- Spearman Correlations
30:33- Linear Regression
34:58- Odds Ratio, Risk Ratio
36:39- Logistic Regression
40:58- Building a Model
45:59- Propensity Score Analysis
47:59- Instrumental Analysis
50:50- Case-Control Studies
53:10- Cross-Sectional Study
55:11- Cohort Study

Session 5Radiobiologic Principles in RO Clinical Research Design

Søren Bentzen, PhD, DMSC
Director of the Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health
University of Maryland School of Medicine

 

Session 6 – Bayesian Statistics in Clinical Trials

Peter Thall, MD
Professor, Department of Biostatistics
MD Anderson Cancer Center

 

Session 7 – Analyzing and Interpreting Patient Reported Outcomes

Benjamin Movsas, MD
Professor and Chair, Department of Radiation Oncology
Henry Ford Cancer Institute