Package: TTE 1.1.2
TTE: Design and Analysis Tools for Target Trial Emulation
Design and analysis tools for target trial emulation using longitudinal observational data. Functions are provided for checking person-period data, expanding longitudinal data into sequentially nested trials, estimating inverse probability weights for intention-to-treat and per-protocol analyses, and assessing weight distributions and covariate balance. Additional functions fit weighted pooled discrete-time outcome models, obtain standardized risks and treatment contrasts, and estimate weighted Kaplan-Meier and Aalen-Johansen curves. Two worked examples based on fully synthetic data illustrate an active-comparator new-user study comparing sodium-glucose cotransporter 2 inhibitors with dipeptidyl peptidase-4 inhibitors and an analysis of sequentially nested trials comparing angiotensin receptor blocker and calcium channel blocker strategies.
Authors:
TTE_1.1.2.tar.gz
TTE_1.1.2.zip(r-4.7-any)TTE_1.1.2.zip(r-4.6-any)TTE_1.1.2.zip(r-4.5-any)
TTE_1.1.2.tgz(r-4.6-any)TTE_1.1.2.tgz(r-4.5-any)
TTE_1.1.2.tar.gz(r-4.7-any)TTE_1.1.2.tar.gz(r-4.6-any)
TTE_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TTE/json (API)
| # Install 'TTE' in R: |
| install.packages('TTE', repos = c('https://nomahi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nomahi/tte/issues
- ARB - Synthetic ARB versus CCB Sequential-Trial Example
- ARB_baseline - Synthetic ARB versus CCB Sequential-Trial Example
- SGLT2 - Synthetic SGLT2i versus DPP-4i Target-Trial Example
- SGLT2_baseline - Synthetic SGLT2i versus DPP-4i Target-Trial Example
Last updated from:9718d1455f. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 122 | ||
| source / vignettes | OK | 226 | ||
| linux-release | WARNING | 134 | ||
| macos-release | WARNING | 94 | ||
| macos-oldrel | WARNING | 98 | ||
| windows-devel | WARNING | 65 | ||
| windows-release | WARNING | 66 | ||
| windows-oldrel | WARNING | 61 | ||
| wasm-release | OK | 113 |
Exports:balance_wtboot_ttecheck_ttecombine_wtcurve_ttediagnose_wtdiscsurvregest_wtseqdesign_ttestd_tte
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Design and Analysis Tools for Target Trial Emulation | TTE-package TTE |
| Synthetic ARB versus CCB Sequential-Trial Example | ARB ARB_baseline |
| Assess Covariate Balance Before and After Weighting | balance_wt |
| Individual-Cluster Bootstrap | boot_tte |
| Check a Target-Trial Person-Period Dataset | check_tte |
| Combine Inverse Probability Weight Components | combine_wt |
| Estimate Weighted Kaplan-Meier or Aalen-Johansen Curves | curve_tte |
| Diagnose Inverse Probability Weights | diagnose_wt |
| Fit a Weighted Pooled Discrete-Time Outcome Model | discsurvreg |
| Estimate Inverse Probability Weights | est_wt |
| Expand Longitudinal Data into Sequentially Nested Trials | seqdesign_tte |
| Synthetic SGLT2i versus DPP-4i Target-Trial Example | SGLT2 SGLT2_baseline |
| Standardize a Discrete-Time Model to Marginal Risks | std_tte |