Showing 12 of total 12 results (show query)
jinseob2kim
jstable:Create Tables from Different Types of Regression
Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Maintained by Jinseob Kim. Last updated 5 days ago.
28 stars 10.08 score 199 scripts 1 dependentsjinseob2kim
jsmodule:'RStudio' Addins and 'Shiny' Modules for Medical Research
'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Maintained by Jinseob Kim. Last updated 16 days ago.
medicalrstudio-addinsshinyshiny-modulesstatistics
21 stars 8.69 score 61 scripts
nliulab
AutoScore:An Interpretable Machine Learning-Based Automatic Clinical Score Generator
A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.
Maintained by Feng Xie. Last updated 1 months ago.
32 stars 7.58 score 30 scripts
melodyaowen
crt2power:Designing Cluster-Randomized Trials with Two Continuous Co-Primary Outcomes
Provides methods for powering cluster-randomized trials with two continuous co-primary outcomes using five key design techniques. Includes functions for calculating required sample size and statistical power. For more details on methodology, see Owen et al. (2025) <doi:10.1002/sim.70015>, Yang et al. (2022) <doi:10.1111/biom.13692>, Pocock et al. (1987) <doi:10.2307/2531989>, Vickerstaff et al. (2019) <doi:10.1186/s12874-019-0754-4>, and Li et al. (2020) <doi:10.1111/biom.13212>.
Maintained by Melody Owen. Last updated 20 days ago.
3.60 score 2 scripts
tloux
tldr:T Loux Doing R: Functions to Simplify Data Analysis and Reporting
Gives a number of functions to aid common data analysis processes and reporting statistical results in an 'RMarkdown' file. Data analysis functions combine multiple base R functions used to describe simple bivariate relationships into a single, easy to use function. Reporting functions will return character strings to report p-values, confidence intervals, and hypothesis test and regression results. Strings will be LaTeX-formatted as necessary and will knit pretty in an 'RMarkdown' document. The package also provides wrappers function in the 'tableone' package to make the results knit-able.
Maintained by Travis Loux. Last updated 12 months ago.
5 stars 3.40 score
cran
smdi:Perform Structural Missing Data Investigations
An easy to use implementation of routine structural missing data diagnostics with functions to visualize the proportions of missing observations, investigate missing data patterns and conduct various empirical missing data diagnostic tests. Reference: Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies. JAMIA Open. 2024 Jan 31;7(1):ooae008. <doi:10.1093/jamiaopen/ooae008>.
Maintained by Janick Weberpals. Last updated 6 months ago.
3.00 score
luisgarcez11
faersquarterlydata:FDA Adverse Event Reporting System Quarterly Data Extracting Tool
An easy framework to read FDA Adverse Event Reporting System XML/ASCII files <https://www.fda.gov/drugs/questions-and-answers-fdas-adverse-event-reporting-system-faers/fda-adverse-event-reporting-system-faers-latest-quarterly-data-files>.
Maintained by Luis Garcez. Last updated 9 months ago.
3.00 score 1 scripts
xixi-code
tableeasy:Tables of Clinical Study
Creates some tables of clinical study. 'Table 1' is created by table1() to describe baseline characteristics, which is essential in every clinical study. Created by table2(), the function of 'Table 2' is to explore influence factors. And 'Table 3' created by table3() is able to make stratified analysis.
Maintained by Jian Hang Zheng. Last updated 3 years ago.
1.18 score 15 scripts
9afojtik
CluMP:Clustering of Micro Panel Data
Two-step feature-based clustering method designed for micro panel (longitudinal) data with the artificial panel data generator. See Sobisek, Stachova, Fojtik (2018) <arXiv:1807.05926>.
Maintained by Jan Fojtik. Last updated 4 years ago.
1.11 score 13 scriptscran
pm3:Propensity Score Matching for Unordered 3-Group Data
You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.
Maintained by Qiang LIU. Last updated 8 months ago.
1.00 score