BIOSTAT 212: Introduction to Statistical Computing in Clinical Research (Summer 2018)
Section outline
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Uploaded 07/23/18, 15:44
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Lecture 1: Introduction to Stata
What is Stata? Stata compared to other statistical software packages. Tour of Stata windows and features. Command syntax. Working Directories. Opening data sets. Stats built-in data sets. Exploring data (basics). using .do files. log files. Commenting in .do files
Location: MH-1400
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Uploaded 07/30/18, 23:10
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Computer Lab
Location: MH-1400
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Uploaded 07/30/18, 23:15
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Uploaded 07/20/18, 12:16
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Uploaded 08/1/18, 13:04
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Uploaded 08/1/18, 12:59
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Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Lecture 2: Exploring and describing data
Variable types. Finding help. Importing/Exporting data. Exploring data. Summarizing data. Add-on packages. Immediate commands. File types.
Location: MH-1400
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Uploaded 08/9/18, 15:42
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Computer Lab
Location: MH-1400
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Uploaded 08/6/18, 22:11
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Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Lecture 3: Data management and cleaning
Duplicate values. Missing data. Transforming variables. Sorting data. Variable names and labels. Tips for data management. Merging datasets. Reshaping data. Workflow. MarkDoc for creating dynamic documents
Location: MH-1400
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Uploaded 08/14/18, 15:30
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Computer Lab
Location: MH-1400
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Watch URL
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Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Lecture 4: Data Visualization
Anatomy of a graph. Graph commands. Schemes. Graph options. Saving and exporting. Plotting competition.Location: MH-1400
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Uploaded 08/22/18, 13:04
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Uploaded 08/22/18, 13:05
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Computer Lab
Location: MH-1400
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Uploaded 08/20/18, 21:23
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Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Lecture 5: Commands for Statistical analyses
Descriptive statistics (mean, SD, SE, confidence intervals). Introduction to statistical hypothesis tests in Stata: t-test, ANOVA, chi squared tests. Linear regression. Immediate commands
Location: MH-1400
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Uploaded 08/31/18, 01:04
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Uploaded 08/31/18, 01:05
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Computer Lab
Location: MH-1400
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Uploaded 08/27/18, 21:27
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Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Lecture 6: Epi commands and tables
Basic epidemiology concepts. Epi commands in Stata. Interpretation of Stata output. Logistic regression. Packages for exporting tables (outreg2, tabout2)
Location: MH-1400
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Uploaded 09/5/18, 11:14
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Computer Lab
Location: MH-1400
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Uploaded 09/4/18, 15:17
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Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Lecture 7: Stored results, Macros, Matrices, Loops & Programs
Live coding
Location: MH-1400
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Uploaded 09/11/18, 12:34
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Uploaded 09/13/18, 11:11
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Watch URL
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Computer Lab
Location: MH-1400
-
Office Hours
Course faculty are available to address questions on course content including prior problem sets.
Location: MH-2800 and online or +1 646 558 8656 (Meeting ID: 125 284 468)
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Final Project
Due: Tuesday, Sept 18 at 9:00 PM
