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Tag Index
Apache
api
arcus
bias
census
clinical data
coding
cohorts
consent
crowdsourcing
cTAKES
dashboards
data
data catalog
data collection
Data PreparationSeptember 25, 2018 Best Practices for REDCap Variables and InstrumentsSeptember 05, 2018 Collecting Sex and Gender DataSeptember 05, 2018 REDCap Race and Ethnicity Data CollectionSeptember 05, 2018 REDCap: PHI and PermissionsSeptember 05, 2018 REDCap Data Collection OverviewSeptember 05, 2018 REDCap Free Text CollectionSeptember 05, 2018 REDCap Field TypesSeptember 05, 2018 REDCap Free Text CollectionSeptember 05, 2018 Cartesian Result SetsJanuary 30, 2018
data combining
data discovery
data integration
data management
data munging
data privacy
data reshaping
data security
data storage
data types
data visualization
R 4 Beginners Chapter 4 - Data Visualization with ggplot2, Part IINovember 20, 2020 R 4 Beginners Chapter 3 - Data Visualization with ggplot2November 03, 2020 Descriptive Statistics: The BulletFebruary 06, 2019 Python Lab for BeginnersAugust 07, 2018 Customizing ggplot2 Visualizations With ggThemeAssistAugust 01, 2018 ggplot overviewMarch 13, 2018 Intro to Machine Learning: TreesMarch 11, 2018 Understanding Pearson's rFebruary 28, 2018 Statistical Intervals and Visualizations: Difference Between MeansFebruary 07, 2018 R Lab for BeginnersFebruary 02, 2018 Base R PlottingJanuary 31, 2018 Sparklines in ggplot2January 19, 2018 Jupyter 101January 18, 2018
demographics
descriptive statistics
dplyr
EHR
electronic health records
environmental data
Excel
geographic data
geojson
ggplot
ggplot2
git
Google Sheets
graphs / networks
history
human subjects
interactions
learner story
library science
linear algebra
linux
literate statistical programming
machine learning
mathematics
mean
measures of central tendency
measures of dispersion
mechanical turk
missing data
missingness
mode
natural language processing
networkx
NIMH
nlp
NLP
nltk
omics
ontology
privacy
python
Using the REDCap APIJuly 20, 2022 What Type of Machine Learning Should I Use?January 15, 2020 User Groups at CHOPJuly 30, 2019 Cloud Tools for the UnconvincedJuly 15, 2019 Comparing Parts of Speech with NLTKOctober 20, 2018 My File is Over There: File Paths for Data ScientistsAugust 28, 2018 Python Lab for BeginnersAugust 07, 2018 Natural Language Processing with NLTKMarch 07, 2018 Statistical Programming LanguagesFebruary 28, 2018 Intro to NetworkXFebruary 28, 2018 Jupyter 101January 18, 2018
r
Using the REDCap APIJuly 20, 2022 Version control your writingDecember 27, 2021 Getting more from R-MarkdownDecember 22, 2021 How do I collapse data from several columns into one?November 22, 2021 Getting Started with lasso regression in RNovember 02, 2021 R 4 Beginners Chapter 7 - Reading Tabular DataJuly 30, 2021 ANOVA tables in RJuly 08, 2021 Linear Regression in R: Annotated OutputJune 21, 2021 R 4 Beginners Chapter 6 - Reproducible ProgrammingFebruary 11, 2021 R 4 Beginners Chapter 5 - Data TransformationJanuary 19, 2021 Josh Taban's CHOP InternshipJanuary 14, 2021 R 4 Beginners Chapter 4 - Data Visualization with ggplot2, Part IINovember 20, 2020 R 4 Beginners Chapter 3 - Data Visualization with ggplot2November 03, 2020 R 4 Beginners Chapter 2 - Coding BasicsNovember 03, 2020 R 4 Beginners Chapter 1 - Introduction and InstallationNovember 03, 2020 What Type of Machine Learning Should I Use?January 15, 2020 The REDCap API and WindowsJanuary 02, 2020 User Groups at CHOPJuly 30, 2019 Cloud Tools for the UnconvincedJuly 15, 2019 Swirl: Learn R in RFebruary 14, 2019 Variable TypesFebruary 13, 2019 Do Patterns in Missing Data Matter?February 13, 2019 Tiny MungeFebruary 13, 2019 Date Pairing in ROctober 26, 2018 Data PreparationSeptember 25, 2018 Clinical Data in RSeptember 24, 2018 My File is Over There: File Paths for Data ScientistsAugust 28, 2018 Ordinary Linear Regression in RAugust 13, 2018 Customizing ggplot2 Visualizations With ggThemeAssistAugust 01, 2018 Mapping Environmental ExposuresJune 08, 2018 Data Combining in RMarch 14, 2018 ggplot overviewMarch 13, 2018 Intro to Machine Learning: TreesMarch 11, 2018 Understanding Pearson's rFebruary 28, 2018 Statistical Programming LanguagesFebruary 28, 2018 R Markdown 101February 22, 2018 R Lab for BeginnersFebruary 02, 2018 Scripted Analysis for ReproducibilityJanuary 31, 2018 Base R PlottingJanuary 31, 2018 Literate Statistical ProgrammingJanuary 24, 2018 Sparklines in ggplot2January 19, 2018 Welcome to the Tidyverse!January 18, 2018 Writing Functions in RJanuary 18, 2018 When R Gets Too HelpfulJanuary 18, 2018
RDoC
redcap
REDCap
regex
regression
reliability
reproducibility
reproducible research
responsible conduct of research
social determinants of health
spreadsheets
sql
ssh
standard deviation
statistics
Getting Started with lasso regression in RNovember 02, 2021 ANOVA tables in RJuly 08, 2021 Linear Regression in R: Annotated OutputJune 21, 2021 Understanding Interactions in Linear ModelsJune 14, 2021 What Type of Machine Learning Should I Use?January 15, 2020 The Argument Against AggregationFebruary 14, 2019 Statistics Chapter 1: Measures of Central Tendency and DispersionFebruary 14, 2019 Variable TypesFebruary 13, 2019 Do Patterns in Missing Data Matter?February 13, 2019 Descriptive Statistics: The BulletFebruary 06, 2019 Ordinary Linear Regression in RAugust 13, 2018 Null Hypothesis Statistical Testing (NHST)August 09, 2018 The p Value ControversyAugust 02, 2018 Understanding Pearson's rFebruary 28, 2018 Interrogating the Data Until it ConfessesFebruary 08, 2018 Statistical Intervals and Visualizations: Difference Between MeansFebruary 07, 2018
Sublime Text
swirl
terminal emulation
text processing
tidy data
tidyverse
validity
variable types
variables
variance
version control