Showing 7 of total 7 results (show query)
ddsjoberg
gtsummary:Presentation-Ready Data Summary and Analytic Result Tables
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Maintained by Daniel D. Sjoberg. Last updated 4 days ago.
easy-to-usegthtml5regression-modelsreproducibilityreproducible-researchstatisticssummary-statisticssummary-tablestable1tableone
1.1k stars 17.02 score 8.2k scripts 15 dependents
keaven
gsDesign:Group Sequential Design
Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Maintained by Keaven Anderson. Last updated 24 days ago.
biostatisticsboundariesclinical-trialsdesignspending-functions
51 stars 13.05 score 338 scripts 5 dependents
danchaltiel
crosstable:Crosstables for Descriptive Analyses
Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.
Maintained by Dan Chaltiel. Last updated 2 months ago.
descriptive-statisticsflextablefrequency-tablehtml-reportmswordofficer
116 stars 10.40 score 340 scripts
merck
simtrial:Clinical Trial Simulation
Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Maintained by Yujie Zhao. Last updated 4 days ago.
21 stars 9.30 score 52 scriptsmerck
gsDesign2:Group Sequential Design with Non-Constant Effect
The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Maintained by Yujie Zhao. Last updated 13 hours ago.
22 stars 8.91 score 186 scripts
shannonpileggi
gtreg:Regulatory Tables for Clinical Research
Creates tables suitable for regulatory agency submission by leveraging the 'gtsummary' package as the back end. Tables can be exported to HTML, Word, PDF and more. Highly customized outputs are available by utilizing existing styling functions from 'gtsummary' as well as custom options designed for regulatory tables.
Maintained by Shannon Pileggi. Last updated 1 months ago.
37 stars 6.92 score 30 scripts
jhorzek
tablespan:Create Satisficing 'Excel', 'HTML', 'LaTeX', and 'RTF' Tables using a Simple Formula
Create "good enough" tables with a single formula. 'tablespan' tables can be exported to 'Excel', 'HTML', 'LaTeX', and 'RTF' by leveraging the packages 'openxlsx' and 'gt'. See <https://jhorzek.github.io/tablespan/> for an introduction.
Maintained by Jannik H. Orzek. Last updated 2 months ago.
14 stars 5.36 score 30 scripts