Search Results for: statistical epidemiology

04/25/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the Read More...

12/03/2024 - 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 four-part lecture series will Read More...

12/12/2023 - 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 four-part lecture series will Read More...

07/24/2023 - 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 four-part lecture series will Read More...

10/18/2022 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class to assist researchers in writing a manuscript. Participants will become familiar with statistical Read More...

01/25/2022 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class geared to cover the general concepts behind common statistical tests. This two-part lecture Read More...

07/01/2020 - Registration: https://www.nihlibrary.nih.gov/training/overview-common-statistical-tests-6 In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class geared to cover the general Read More...

05/01/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the Read More...

03/17/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a several trainings that cover general concepts behind statistics and epidemiology. These trainings will help Read More...

04/30/2024 - What’s the difference between “regular” statistics (i.e., what you may have been using in the past several years) and the “new” Bayesian Read More...

04/23/2024 - What’s the difference between “regular” statistics (i.e., what you may have been using in the past several years) and the “new” Bayesian Read More...

10/20/2023 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class to assist researchers in writing a manuscript. Participants will become familiar with statistical Read More...

01/27/2022 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class geared to cover the general concepts behind common statistical tests. This two-part lecture Read More...

12/02/2020 - Register In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class geared to cover the general concepts behind common statistical tests. This two-part Read More...

12/01/2020 - Register In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class geared to cover the general concepts behind common statistical tests. This two-part Read More...

10/28/2020 - Register In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a class to assist researchers in writing a manuscript. Participants will become familiar with Read More...

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...

08/08/2024 - What are common statistical analyses for binary data? What is the distribution of your binary dependent variable? What is the difference from normally distributed data? How do you model the binary outcome with multiple Read More...

06/20/2024 - What are common statistical analyses for continuous data? Can you check whether your continuous outcome is normally distributed? What are the methods when the data are not normal? How do you model the outcome Read More...

03/17/2021 - Presenter: Himel Mallick, PhD Senior Scientist, Biostatistics Merck Research Laboratories Abstract Identifying clinically actionable features that display differential abundance and expression patterns across experimental conditions is an important first step toward characterizing the multi-omics Read More...

10/11/2019 - This lecture will briefly review the steps involved in data analysis and how study design, hypothesis, and type of data and their distributions contribute to the choice of statistical tests. Statistical tests are used Read More...

10/01/2024 - Dr. Nusrat Rabbee’s book, “ Biomarker Analysis in Clinical Trials Using R ” offers practical guidance to statisticians on how to incorporate biomarker data analysis in clinical trial studies. In it, she discusses the appropriate Read More...

The Cancer and Inflammation Program – Microbiome and Genetics Core (CIP-MGC) grew out of the former CIP Genetics Core to meet the increasing need for sequencing and analysis of commensal microbiota within CIP and NCI. The Read More...

07/17/2025 - NIDDK Biostats Seminar Series: From Research Study Design to Collecting, Managing, and Analyzing Data. Learning Objectives 1. The learner should know the difference between observational studies, clinical trials (drug and non-drug studies), and secondary data ( Read More...

11/20/2024 - ggplot2 is a popular R package for data visualization that uses layers to build high quality plots. There are over 100 packages that extend the functionality of ggplot2. This session of the BTEP Coding Club Read More...

11/12/2024 - We will discuss statistical considerations in planning, executing, and interpreting experiments using animals. Topics will include interpreting minimally powered pilot studies, dealing with complex time series, and maximizing knowledge gain from limited resources. This Read More...

10/08/2024 - We will cover recently developed statistical approaches to the classification of BRCA2 variants using the functional-assay data generated by our NCI collaborators (Dr. Sharan’s lab). Our main objective is to illustrate how statistical Read More...

06/12/2024 - Join us for an engaging training session where we will examine the similarities and differences between machine learning and statistical differential gene expression (DGE) analysis using Qlucore Omics Explorer. Qlucore Omics Explorer is a Read More...

06/11/2024 - This talk will cover the basics of statistical resampling methods such as bootstrap, Monte Carlo, and permutations for estimating parameters and testing hypotheses.  We will discuss when you might want to use Read More...

Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...

11/15/2024 - 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 four-part lecture series will Read More...

12/04/2023 - 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 four-part lecture series will Read More...

06/27/2023 - 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 four-part lecture series will Read More...

03/08/2023 - 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 Read More...

12/03/2024 - Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE) Webinar Series The Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE) webinar series began 10 years ago in November 2014. The series was designed to share Read More...

06/20/2024 - Dr. Irizarry will share findings demonstrating limitations of current workflows that are popular in single cell RNA-Seq data analysis. Specifically, he will describe challenges and solutions to dimension reduction, cell-type classification, and statistical significance Read More...

03/20/2023 - 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 Read More...

11/08/2024 - Learn microbiome analysis basics in R with phyloseq. This workshop will cover different types of analysis frequently used in microbiome studies, including sample diversity, community composition, and differential taxa. The techniques we learn will Read More...

05/07/2024 - Presented as part of the Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE) Webinar Series Dr. Philip Lupo is a professor of pediatrics and hematology-oncology at Baylor College of Medicine. His lab focuses Read More...

03/26/2024 - Dear Colleagues,   Developed by expert statisticians and programmers, SUDAAN is a software package designed for researchers who work with study data. SUDAAN procedures properly account for correlated observations, clustering, weighting, stratification, and Read More...

02/16/2024 - Deep sequencing has emerged as the primary tool for transcriptome profiling in cancer research. Like other high-throughput profiling technologies, sequencing is susceptible to systematic non-biological artifacts stemming from inconsistent experimental handling. A critical initial Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...

The Office of Collaborative Biostatistics, Office of the Clinical Director, is the statistical and data management component of CCR. The Section provides statistical leadership and data management consultation for CCR’s major clinical activities and Read More...

10/03/2023 - Presented as part of the Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE) Webinar Series Dr. Kushal Dey is an Assistant Member and Josie Robertson Investigator in the Department of Computational and Systems Read More...

07/10/2024 - Qlucore Omics Explorer is a point-and-click software for analyzing various omics data including RNA sequencing (bulk and single cell), proteomics, and metabolomics. Participants will learn to perform QC, construct visualizations (ie. PCA, heatmap, volcano, Read More...

Both a computational language and environment for statistical computing and graphics. Open-source and widely used by scientists, not just bioinformaticians. Extensible. Maintained by a network of collaborators - The R Core Team A resource for Read More...

We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...

09/13/2024 - This course provides an introduction to data analysis using R, focusing on conducting various statistical tests and generating commonly used statistical regression models. Participants will learn how to perform hypothesis testing, calculate descriptive statistics, Read More...

R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...

R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...

R for Data Science Statistical Inference via Data Science: A ModernDive into R and the tidyverse dplyr cheatsheet tidyr cheatsheet Other cheatsheets

R for Data Science Statistical Inference via Data Science: A ModernDive into R and the tidyverse dplyr cheatsheet tidyr cheatsheet Other cheatsheets

R for Data Science Statistical Inference via Data Science: A ModernDive into R and the tidyverse dplyr cheatsheet tidyr cheatsheet Other cheatsheets

R for Data Science Hands-on Programming with R Statistical Inference via Data Science: A ModernDive into R and the Tidyverse The R Graphics Cookbook ggplot2: Elegant Graphics for Data Analysis Advanced R

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...

The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological Read More...

The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2 Read More...

07/09/2025 - From image analy i to federated learning and multimodal modeling, generative AI can be u ed to tudy ob ervational ucce ion acro cale and data type . At DCEG' Data cience and Engineering Re Read More...

06/18/2025 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python is a Read More...

05/08/2025 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python is a Read More...

04/08/2025 - Dive into the specialized use of mixed-effects models tailored to address the challenges of inter-reader variability in medical imaging studies. This presentation delves into how these models adeptly manage the random effects introduced by Read More...

03/25/2025 - Dr. Ben Raphael will describe computational methods developed in his lab to analyze large-scale biological data related to cancer evolution, genetic variants, and structural variation in cancer genomes. He’ll share combinatorial and statistical Read More...

03/13/2025 - UCSC Xena showcases seminal cancer genomics datasets from The Cancer Genome Atlas (TCGA) and the Pan-Cancer Atlas, as well as the Genomic Data Commons, Pan-cancer Atlas of Whole Genomes, and the International Cancer Genome Read More...

03/12/2025 - Clustering is one of the fundamental unsupervised machine learning algorithms. It is often used to group quantitative proteomic or RNAseq expression data to suggest sub-types of a particular cancer. This presentation covers building a Read More...

01/22/2025 - This three hour online training covers QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression. Read More...

01/15/2025 - This session of the BTEP Coding Club will demonstrate how to use the R package “survival” to conduct a survival analysis of an example dataset.  Senior Programmer and Analyst, Duncan Donohue, PhD, will cover Read More...

01/14/2025 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...

01/14/2025 - In this talk, we will cover the basics of survival analysis as a statistical methodology developed for censored data. Special emphasis will be on visualizing survival data, comparing survival-time distributions for subject groups, and Read More...

12/10/2024 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python Read More...

11/21/2024 - Join this webinar to gain insights from Dr. Qi Long, who will explore how LLMs offer a promising solution to data issues, especially those stemming from incomplete information.   Dr. Long will share his team' Read More...

11/12/2024 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python Read More...

10/11/2024 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python Read More...

09/12/2024 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...

08/14/2024 - In this introduction session, Dr. Yana Stackpole will discuss biologist-friendly ways to import and analyze RNAseq data in Qlucore, followed by integrated GSEA for biological interpretation.   She will pick a public cancer-related Read More...

08/07/2024 - This one-hour online training will provide a high-level overview of Python coding concepts, as well as some of the integrative development environments (IDEs,  such as Jupyter notebooks ) used for Python coding. Python is a Read More...

07/12/2024 - Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Read More...

06/13/2024 - Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Read More...

The primary means of running differential expression in Seurat is through the FindMarkers function. The main usage for this function is as follows: FindMarkers(object,ident.1= ..., ident.2=..., test.use="wilcox", min.pct = 0.01, logfc. Read More...

Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the Read More...

05/23/2024 - An exciting opportunity at the intersection of the biomedical sciences and machine learning stems from the growing availability of large-scale multi-modal data (imaging-based and sequencing-based, observational and perturbational, at the single-cell level, tissue-level, and Read More...

05/09/2024 - This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is Read More...

03/13/2024 - Dear Colleagues,    UCSC Xena is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations.   Xena showcases seminal cancer genomics datasets from Read More...

Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review general Read More...

Factors are an important data structure in statistical computing. They are specialized vectors (ordered or unordered) for the storage of categorical data. While they appear to be character vectors, data in factors are stored as Read More...

R is a particularly great resource for statistical analyses, plotting, and report generating. wide use = functions and packages covering a broad range of topics. CRAN has 20,000 + packages Bioconductor (v 3.18) includes 2,266 software packages, 429 experiment data packages, 920 Read More...

R is a particularly great resource for statistical analyses, plotting, and report generating. The fact that it is widely used means that users do not need to reinvent the wheel. There is a package available Read More...

For Further Reading Books and / or Book Chapters of Interest R for Data Science Hands-on Programming with R Statistical Inference via Data Science: A ModernDive into R and the Tidyverse The R Graphics Cookbook ggplot2: Read More...

Last lesson we discussed the three basic components of creating a ggplot2 plot: the data , one or more geoms , and aesthetic mappings . ggplot(data = ) + (mapping = aes()) But, we also learned of other features that greatly Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

CREx News & Updates September 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CCR Read More...

Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in Read More...

Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...

Clinicians and bench scientists (a.k.a., wet lab researchers) are at the forefront of scientific achievement. However, most, if not all contemporary projects involve robust scientific analysis, where the tools of exploration aren’t Read More...

One particular critique of differential expression in single cell RNASeq analysis is p-value "inflation," where the p-values get so small that there are far too many genes exist with p-values below 0.05, even after Read More...

1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...

This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...

The NIH Library provides expert guidance on bioinformatics, biostatistics, data visualization, and data curation throughout the research process. Explore a variety of classes, on-demand trainings, resources, and services related to data science and bioinformatics available Read More...

The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ Read More...

03/22/2024 - This 3-hour seminar is tailored for biologists, data analysts, and researchers who are eager to dive into the essentials of computational flow cytometry analysis using R. Flow cytometry is a crucial technique in cell Read More...