Available courses
Registration:
Registration will close on Monday, 05/20/2024 at 11:59pm EST.
You will self-register through this website. USF students also need to register through Canvas to get credit.
Course Goal:
Introduction to basic R programming and hand-on practical analysis of cancer datasets.
Course Description:
This lecture series will cover the following topics.Basic R/Rstudio programming, data structures, cancer data cleaning, statistical testing/regression, data visualization with emphasis on R packages Tidyverse, ggplot2, Rmarkdown etc.
Course Schedule:
Wednesdays, 3:00pm-3:50pm EST, May 22 - July 17, 2024 except the week of Independence Day.All lectures available via Zoom. Zoom link will be sent to registered students.
Please see course syllabus for more details.
- Manager: Maria Isaza
- Manager: Mingxiang Teng
REGISTRATION:
You will first need to create an account, then you will self-register.
Registration will close on Monday, 01/08/2024 at 11:59pm EST
COURSE GOAL:
Introduce the basic statistical concepts and methods for cancer research.
BACKGROUND:
BIOSTATISTICS 101 for Cancer Researchers at Moffitt is a diverse program presented in 15 lectures. The lectures introduce the basic principles of biostatistics and are intended for individuals who are in the process of learning biostatistical applications and/or for those who desire a refresher course.
COURSE DESCRIPTION: All courses will be presented via Zoom.
This lecture series will cover the following topics: descriptive statistics, hypothesis testing, correlation and regression, statistical modeling, power estimation, survival analysis, and clinical trials.
WHO MAY TAKE THIS COURSE?
Moffitt clinicians, fellows, cancer researchers, and Cancer Biology students
Note: Only Moffitt Members are eligible. Exceptional cases may be discussed with the Administrative Coordinator prior to the registration deadline.
COURSE PREREQUISITES:
None.
- Manager: Shonna Small
- Manager: Steve Sutton
Welcome to Genome Data Analysis! Please see the course syllabus for the certificate requirements.
Registration Deadline: Monday, 08/21/2023 12:00pm EST
CLASS SCHEDULE:
August 23 - November 15, 2023
Wednesdays, 3:00pm-4:00pm EST
All lectures available via Zoom
Course Directors:
Xiaoqing Yu, PhD
Assistant Member, Dept. of Biostatistics & Bioinformatics
Xiaoqing.Yu@moffitt.org
Steven Eschrich, PhD
Senior Member, Dept. of Biostatistics & Bioinformatics
Steven.Eschrich@moffitt.org
- Manager: Xiaoqing Yu
University Course Description
Introduction to programming and data analysis in R/Rstudio will be presented. Basic concepts related to data manipulation using Tidyverse, generation of visual plots using ggplot2, statistical analysis, and best practices in coding and reproducible research.
Course Purpose
The goal of this class is to introduce participants to the basics of the R programming language for downstream data analysis for cancer research using RStudio.
Course Objectives
Cancer research is becoming highly computational in nature. This course provides an overview and introduction to R/Rstudio for the analysis and visualization of data from cancer studies. The lectures provide introduction to a number of topics with hands-on computing problems. This lecture series is intended for individuals with limited exposure to programming and statistics.
Please see course syllabus for more details
- Manager: Brooke Fridley
- Manager: Maria Isaza
- Manager: Mingxiang Teng
REGISTRATION:
You will first need to create an account, then you will self-register.
Registration will close on Friday, 01/06/2022 at 11:59pm EST
COURSE GOAL:
Introduce the basic statistical concepts and methods for cancer research.
BACKGROUND:
Understanding the fundamentals of biostatistics is important for any type of cancer research. BIOSTATISTICS 101/BIOS 101 for Cancer Researchers at Moffitt is an overview of these fundamentals. The lectures and provided materials introduce the basic principals of biostatistics and are intended for individuals desiring a stronger understanding.
COURSE DESCRIPTION: All courses will be presented via Zoom.
This lecture series will cover the following topics: descriptive statistics, hypothesis testing, power estimation, tests comparing group means, correlation and regression, statistical modeling, survival analysis, clinical trials, and behavior research. There will 15 lectures, with initial lectures covering all topics at an introductory level and later lectures providing more details on a subset of topics.
WHO MAY TAKE THIS COURSE?
Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students.
Note: Only Moffitt Members are eligible. Exceptional cases may be discussed with the Administrative Coordinator prior to the registration deadline.
COURSE PREREQUISITES:
None.
- Manager: Steve Sutton
Welcome to Genome Data Analysis! Please see the course syllabus for the certificate requirements.
Registration Deadline: Monday, 08/22/2022 11:59pm EST
CLASS SCHEDULE:
August 24 - November 16, 2022
Wednesdays, 3:00pm-4:00pm EST
All lectures available via Zoom
Course Directors:
Xiaoqing Yu, PhD
Assistant Member, Dept. of Biostatistics & Bioinformatics
Xiaoqing.Yu@moffitt.org
Steven Eschrich, PhD
Senior Member, Dept. of Biostatistics & Bioinformatics
Steven.Eschrich@moffitt.org
- Manager: Steven Eschrich
- Manager: Xiaoqing Yu
University Course Description
Introduction to programming and data analysis in R/Rstudio will be presented. Basic concepts related to data manipulation using Tidyverse, generation of visual plots using ggplot2, statistical analysis, and best practices in coding and reproducible research.
Course Purpose
The goal of this class is to introduce participants to the basics of the R programming language for downstream data analysis for cancer research using RStudio.
Course Objectives
Cancer research is becoming highly computational in nature. This course provides an overview and introduction to R/Rstudio for the analysis and visualization of data from cancer studies. The lectures provide introduction to a number of topics with hands-on computing problems. This lecture series is intended for individuals with limited exposure to programming and statistics.
Please see course syllabus for more details
- Teacher: Brooke Fridley
REGISTRATION:
You will first need to create an account, then you will
self-register.
Registration will close on Friday, 01/07/2022
COURSE GOAL:
Introduce the basic
statistical concepts and methods for cancer research.
BACKGROUND:
BIOSTATISTICS 101 for Cancer Researchers at Moffitt is a
diverse program presented in 11 lectures. The lectures introduce the basic
principles of biostatistics and are intended for individuals who are in the
process of learning biostatistical applications and/or for those who desire a
refresher course.
COURSE DESCRIPTION:
All courses will be presented via Zoom.
This lecture series will cover the following topics:
descriptive statistics, hypothesis testing, correlation and regression,
statistical modeling, power estimation, survival analysis, and clinical
trials.
WHO MAY TAKE THIS
COURSE?
Moffitt clinicians, fellows, cancer researchers, and Cancer
Biology students
Note: Only Moffitt Members are eligible. Exceptional cases may be discussed with the Administrative Coordinator prior to the registration deadline.
COURSE PREREQUISITES:
None.
- Manager: Steve Sutton
BACKGROUND:
Technologies to probe genomes and their products
have exploded in the past decade. Bioinformatics and computational biology play
a role in cancer research and familiarity with concepts in these areas becomes
important for hypothesis generation, target validation and discovery. This
course provides an overview of genomic data analysis, specifically analytical
techniques involving DNA and gene sequences, gene mutations, gene expression
and protein measurements. The lectures provide an overview of the topics and
introduce key issues in experimental design and analytical strategies for these
molecular types. This lecture series is intended for individuals with limited exposure
to specific areas of bioinformatics.
COURSE DESCRIPTION:
Bioinformatics analysis techniques, including
derivation of analytical variables from raw signal, descriptive methods and
hypothesis testing in large dimensional studies will be presented. The basic
concepts, issues and applications of these analysis techniques will be
introduced. Examples using website tools and R will be used.
WHO WILL TAKE THIS COURSE:
Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students.
*Note: Only Moffitt/PHSU Members are eligible, and exceptional cases should be discussed with the Administrative Coordinator prior to August 25.
- Manager: Steven Eschrich
- Manager: Xiaoqing Yu
COURSE OBJECTIVES:
The objective of this
course is to introduce students to the field of health disparities research as
it relates to cancer research, cancer prevention, and therapy. The course will utilize
a mix of lectures, reading assignments, and in person discussion.
WHO WILL TAKE THIS COURSE:
PHSU and MCC/USF summer rotation students (Master’s, PhD and Medical students).
Please see Course Syllabus for more details.
- Manager: Yairi Rivera-Torgerson
COURSE DESCRIPTION:
Biostatistics techniques include descriptive
statistics, hypothesis testing, and correlation. Bioinformatics analysis
techniques, including derivation of analytical variables from raw signal,
descriptive methods and hypothesis testing in large dimensional studies will be
presented. The basic concepts, issues and applications of these analysis
techniques will be introduced. Examples using website tools and R will be used.
WHO WILL TAKE THIS COURSE:
PHSU and MCC/USF summer rotation students
(Master’s, PhD and Medical students).
Please see Course Syllabus for more details.
- Manager: Steven Eschrich
- Manager: Yairi Rivera-Torgerson
BACKGROUND: As a follow-up to BIOS 101, an introduction to
basic statistical issues for cancer researchers, this 8-lecture series introduces
performing simple statistical analysis using standard software.
COURSE DESCRIPTION: There will be demonstrations of using descriptive statistics to review data, transforming data, and a variety of statistical tests to compare means, compare proportions, evaluate covariation between variables, and evaluate time-to-event outcomes. Optional exercises will be provided to practice the analyses demonstrated in the lecture.
WHO WILL TAKE THIS COURSE?: Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students who have received the completion certificate for BIOS 101 for Cancer Researchers. Exceptional cases must be discussed with the Course Director prior to the registration deadline.
- Manager: Shonna Small
- Manager: Steve Sutton
REGISTRATION:
** Began on November
9, 2020 **
You will first need to create an account, then you will
self-register.
Registration will close on Monday, January 11, 2021.
COURSE GOAL:
Introduce the basic
statistical concepts and methods for cancer research.
BACKGROUND:
BIOSTATISTICS 101 for Cancer Researchers at Moffitt is a
diverse program presented in 11 lectures. The lectures introduce the basic
principles of biostatistics and are intended for individuals who are in the
process of learning biostatistical applications and/or for those who desire a
refresher course.
COURSE DESCRIPTION:
All courses will be presented via Zoom.
This lecture series will cover the following topics:
descriptive statistics, hypothesis testing, correlation and regression,
statistical modeling, power estimation, survival analysis, and clinical
trials.
WHO MAY TAKE THIS
COURSE?
Moffitt clinicians, fellows, cancer researchers, and Cancer
Biology students
Note: Only Moffitt Members are eligible. Exceptional cases may be discussed with the Administrative Coordinator prior to the registration deadline.
COURSE PREREQUISITES:
None.
- Manager: Shonna Small
- Manager: Steve Sutton
BACKGROUND:
Technologies to probe genomes and their products
have exploded in the past decade. Bioinformatics and computational biology play
a role in cancer research and familiarity with concepts in these areas becomes
important for hypothesis generation, target validation and discovery. This
course provides an overview of genomic data analysis, specifically analytical
techniques involving DNA and gene sequences, gene mutations, gene expression
and protein measurements. The lectures provide an overview of the topics and
introduce key issues in experimental design and analytical strategies for these
molecular types. This lecture series is intended for individuals with limited exposure
to specific areas of bioinformatics.
COURSE DESCRIPTION:
Bioinformatics analysis techniques, including
derivation of analytical variables from raw signal, descriptive methods and
hypothesis testing in large dimensional studies will be presented. The basic
concepts, issues and applications of these analysis techniques will be
introduced. Examples using website tools and R will be used.
WHO WILL TAKE THIS COURSE:
Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students.
*Note: Only Moffitt/PHSU Members are eligible, and exceptional cases should be discussed with the Administrative Coordinator prior to August 26.
- Manager: Steven Eschrich
- Manager: Paula Price
- Manager: Xiaoqing Yu
COURSE DESCRIPTION: Biostatistics techniques include descriptive
statistics, hypothesis testing, and correlation. Bioinformatics analysis
techniques, including derivation of analytical variables from raw signal,
descriptive methods and hypothesis testing in large dimensional studies will be
presented. The basic concepts, issues and applications of these analysis
techniques will be introduced. Examples using website tools and R will be used.
- Manager: Steven Eschrich
- Manager: Paula Price
- Manager: Yairi Rivera-Torgerson
BACKGROUND: Understanding biostatistics is the foundation for cancer research. BIOSTATISTICS 101, BIOS 101, for Cancer Researchers at Moffitt is a diverse program presented in an 11 lecture series. The lectures introduce the basic principles of biostatistics and are intended for individuals who are in the process of learning biostatistical applications and/or for those who desire a refresher course.
COURSE DESCRIPTION: Descriptive statistics, hypothesis testing, correlation, statistical modeling, power estimation, survival analyses, and clinical trials will be taught in this lecture series.
WHO WILL TAKE THIS COURSE?: Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students.
- Manager: Ann Chen
- Manager: Paula Price
- Manager: Shonna Small
Traditional described as Cancer Research Techniques and now titled Modern Basic Tools of Research, this class discusses the theory and practice of different strategies used for cancer research. Students should gain knowledge of different resources available to them at the cancer center, which include both highly trained personnel and instrumentation.
- Manager: John Koomen
The Population Science Educational Series aims to provide a centralized site for .....
- Manager: Nina Naas