Package index
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descriptive_table()
- Descriptive Summary Table for Study Characteristics (User-Friendly)
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dissect()
- Dissect a Dataset Before Regression
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uni_reg()
- Univariate regression (Odds, Risk, or Rate Ratios)
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multi_reg()
- Multivariable Regression (Adjusted Odds, Risk, or Rate Ratios)
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stratified_uni_reg()
- Performs univariate regression for each exposure on a binary, count, or continuous outcome, stratified by a specified variable. Produces a stacked `gtsummary` table with one column per stratum, along with underlying models and diagnostics.
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stratified_multi_reg()
- Stratified Multivariable Regression (Adjusted OR, RR, IRR, or Beta)
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select_models()
- Stepwise Model Selection with Evaluation Metrics
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check_collinearity()
- Check Collinearity Using VIF for Fitted Models
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check_convergence()
- Check Convergence for a Regression Model
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identify_confounder()
- Identify Confounders Using the Change-in-Estimate Method
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interaction_models()
- Compare Models With and Without Interaction Term
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modify_table()
- Modify Regression Table Labels and Layout
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save_table()
- Save a Single Regression Table
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save_docx()
- Save Multiple Tables and Plots to a Word Document
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merge_tables()
- Merge Multiple gtsummary Tables (Descriptive, Univariate, Multivariable)
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plot_reg()
- Visualize a Regression Model as a Forest Plot
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plot_reg_combine()
- Visualize Univariate and Multivariate Regression Side-by-Side
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save_plot()
- Save a Single Plot
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data_PimaIndiansDiabetes
- PimaIndians2 Diabetes Dataset
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data_gt_quin
- Student Absenteeism in Rural Schools
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data_birthwt
- Birth Weight Data
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data_epilepsy
- Epilepsy Treatment and Seizure Counts
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data_infertility
- Infertility Matched Case-Control Study
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data_lungcancer
- Lung Cancer Trial Data