Analytics
Turning clinical data into evidence
AnalyticsStata for Medical Research 2: Models to Outputs
Course overview Follow a focused Stata analysis from variable coding to an interpretable result and a reproducible research output. Learning outcomes Recognize factor-variable coding and reference groups. Interpret one supplied regression result and a basic postestimation check. Adapt a short do-file to reproduce a table or graphic. Curriculum A clear analysis question and reproducible do-file. Factor variables, reference groups and interactions. Fitting and reading one regression model. Basic diagnostics and postestimation. Exporting one table or graphic. Worked example: revise and rerun a short analysis. Practical output Adapt a supplied do-file and write a brief interpretation of one model output. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsStata for Medical Research 1: Getting Started
Course overview Build confidence with Stata through a small data-checking workflow, clear descriptive output and a reusable do-file. Learning outcomes Navigate a simple Stata workflow and recognize a do-file and log. Check variable types, labels and missing values. Adapt supplied commands to create one summary and one chart. Curriculum Stata workspace and project folders. Importing data and inspecting variables. Labels, types and missing-value checks. Simple cleaning and verification commands. One descriptive table and one chart. Worked example: save and rerun a short do-file. Practical output Adapt a supplied do-file to check and summarize a small synthetic teaching file. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsR for Medical Research 2: Analysis to Report
Course overview Connect a simple statistical analysis to a clear, reproducible output using a compact R example and a report template. Learning outcomes Follow a short analysis script and identify its key decisions. Interpret a supplied model result and a basic diagnostic check. Adapt a report template so its text, table and figure agree. Curriculum Organizing a small analysis script. Preparing variables for a comparison or model. Fitting and reading one simple model. Basic checks and cautious interpretation. Sending a table and figure to a report template. Worked example: update and rerun a short report. Practical output Adapt a supplied R analysis and update one short report section with its table or figure. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsR for Medical Research 1: Getting Started
Course overview Get comfortable with a small, reproducible R workflow through short demonstrations and a guided file-to-figure exercise. Learning outcomes Recognize the main parts of a simple R project and script. Import a teaching file and inspect variable types and missing values. Adapt a supplied script to produce one summary and one plot. Curriculum R and RStudio: setup and orientation. Objects, vectors and data frames. Importing a file and checking its structure. Simple data selection and transformations. One descriptive summary and one clear plot. Worked example: rerun and adapt a short script. Practical output Adapt a supplied script to summarize and plot a small synthetic teaching file. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsSystematic Review Methods: The Essential Workflow
Course overview A compact guide to the decisions behind a transparent systematic review, from a focused question to a documented synthesis plan. Learning outcomes Translate a focused question into clear eligibility criteria. Recognize the purpose of searching, screening and extraction records. Explain why risk of bias and synthesis decisions require more than a reporting checklist. Curriculum A focused question and review scope. Eligibility criteria and a simple protocol outline. Search concepts and a transparent search record. Screening decisions and duplicate handling. Extraction checks and risk of bias. Worked example: make one defensible inclusion decision. Practical output Draft a short eligibility checklist and justify one inclusion or exclusion decision from supplied abstracts. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
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