Showing entries 19701-19800 out of 58836.
'shiny' App to Discover Cocktails
Convolution-Closed Models for Count Time Series
Co-Correspondence Analysis Methods
Dependence Condition Test Using Ranked Correlation Coefficients
Compositional Data Analysis for Microbiome Studies
Learning Sparse Log-Ratios for Compositional Data
Interpreting CoDa Regression Models
Compositional Models to Longitudinal Microbiome Data
Compositional Data Linear Models with Composition Redistribution
Genomic Prediction Using SNP Codata
Automatic Codebooks from Metadata Encoded in Dataset Attributes
Create Codebooks from Data Frames
Retro Logic Game
Collection of Codes with Labels
Counting Codes in a Text and Preparing Data for Analysis
Analysis of R Code for Reproducible Research and Code Comprehension
Working with Code Lists
Identify Relevant Clinical Codes and Evaluate Their Use
A Smaller 'codemetar' Package
Generate 'CodeMeta' Metadata for R Packages
Generation of Code Names for Organizations, People, Projects, and Whatever Else
Chat and FIM with 'Codestral'
Code Analysis Tools for R
Find the Location of an R Package's Code
The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous Severe Exacerbations) Index: Short and …
Produce Standard/Formalized Demographics Tables
Alternative Factor Coding Matrices for Linear Model Formulae
Robust Coefficient Alpha and Omega with Missing and Non-Normal Data
Plots Coefficients from Fitted Models
Coenocline Simulation
Gradient-Based Coenospace Vegetation Simulator
Generate Cofeature Matrices
Collaborative Graphical Lasso - Multi-Omics Network Reconstruction
Compute Glyph Centers of Gravity from Image Data
Authentication for 'Shiny' Apps with 'Amazon Cognito'
Cohen's D_p Computation with Confidence Intervals
Assessing Complex Heterogeneity in Surrogacy
Use of Interval Algebra to Create New Cohort(s) from Existing Cohorts
Data Source Agnostic Filtering Tools
Summarise and Visualise Characteristics of Patients in the OMOP CDM
Build and Manipulate Study Cohorts Using a Common Data Model
Enrichment Analysis of Clinically Relevant Concepts in Common Data Model Cohort Data
Explorer of Profiles of Patients in a Cohort
Cohort Generation for the OMOP Common Data Model
Comparative Cohort Method with Large Scale Propensity and Outcome Models
Create Pathways from Target to Event Cohorts
Simulation of Cohort Platform Trials for Combination Treatments
Estimate Survival from Common Data Model Cohorts
Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Cohort Data Analyses