Update README

Author: feralaes

README.Rmd

@@ -3,4 +3,37 @@ output: github_document
 ---
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
-# An Introductory Tutorial to Cohort State-Transition Models in R
+<!-- [![DOI](https://zenodo.org/badge/331070175.svg)](https://zenodo.org/badge/latestdoi/331070175) -->
+
+# An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example
+
+This GitHub repository provides the code of the tutorial on how to implement time-dependent cohort state-transition models (cSTMs) in R using a cost-effectiveness analysis (CEA) example, explained in the following manuscript: 
+
+- Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. [An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example](http://arxiv.org/abs/2001.07824). arXiv:200107824v3. 2021:1-26.
+
+The [`R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/tree/main/R) folder includes two different scripts corresponding to functions used to synthesize cSTMs outputs and conduct several sensitivity analyses:
+   - [`Funtions.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions.R): Functions to generate epidemiological measures from time-dependent cSTMs.
+   - [`Functions_cSTM_time_indep.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions_cSTM_time_indep.R): These functions wrap the time-dependent cSTM, compute CEA measures, and generate probabilistic sensitivity analysis (PSA) input datasets.
+   
+   
+We recommend familiarizing with the [DARTH](http://darthworkgroup.com) coding framework described in 
+
+- Alarid-Escudero F, Krijkamp EM, Pechlivanoglou P, Jalal HJ, Kao SYZ, Yang A, Enns EA. [A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling](https://link.springer.com/article/10.1007/s40273-019-00837-x). [PharmacoEconomics](https://www.springer.com/journal/40273), 2190;37(11):1329–1339. https://doi.org/10.1007/s40273-019-00837-x
+
+To run the CEA, you require [`dampack`: Decision-Analytic Modeling Package](https://cran.r-project.org/web/packages/dampack/index.html), an R package for analyzing and visualizing the health economic outputs of decision models.
+
+## Full list of Contributors:
+
+  * [Fernando Alarid-Escudero](https://github.com/feralaes)
+  
+  * [Eline Krijkamp](https://github.com/krijkamp) 
+
+  * [Eva Enns](https://github.com/evaenns)
+  
+  * [Alan Yang](https://github.com/alanyang0924)  
+  
+  * [Myriam Hunink](http://www.erasmus-epidemiology.nl/people/profile.php?id=45)
+  
+  * [Petros Pechlivanoglou](https://github.com/ppehli)
+  
+  * [Hawre Jalal](https://github.com/hjalal)

README.md

@@ -1,4 +1,59 @@
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
+<!-- [![DOI](https://zenodo.org/badge/331070175.svg)](https://zenodo.org/badge/latestdoi/331070175) -->
 
-# An Introductory Tutorial to Cohort State-Transition Models in R
+# An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example
+
+This GitHub repository provides the code of the tutorial on how to
+implement time-dependent cohort state-transition models (cSTMs) in R
+using a cost-effectiveness analysis (CEA) example, explained in the
+following manuscript:
+
+-   Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
+    Pechlivanoglou P, Jalal H. [An Introductory Tutorial on Cohort
+    State-Transition Models in R Using a Cost-Effectiveness Analysis
+    Example](http://arxiv.org/abs/2001.07824). arXiv:200107824v3.
+    2021:1-26.
+
+The
+[`R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/tree/main/R)
+folder includes two different scripts corresponding to functions used to
+synthesize cSTMs outputs and conduct several sensitivity analyses: -
+[`Funtions.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions.R):
+Functions to generate epidemiological measures from time-dependent
+cSTMs. -
+[`Functions_cSTM_time_indep.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions_cSTM_time_indep.R):
+These functions wrap the time-dependent cSTM, compute CEA measures, and
+generate probabilistic sensitivity analysis (PSA) input datasets.
+
+We recommend familiarizing with the [DARTH](http://darthworkgroup.com)
+coding framework described in
+
+-   Alarid-Escudero F, Krijkamp EM, Pechlivanoglou P, Jalal HJ, Kao SYZ,
+    Yang A, Enns EA. [A Need for Change! A Coding Framework for
+    Improving Transparency in Decision
+    Modeling](https://link.springer.com/article/10.1007/s40273-019-00837-x).
+    [PharmacoEconomics](https://www.springer.com/journal/40273),
+    2190;37(11):1329–1339. <https://doi.org/10.1007/s40273-019-00837-x>
+
+To run the CEA, you require [`dampack`: Decision-Analytic Modeling
+Package](https://cran.r-project.org/web/packages/dampack/index.html), an
+R package for analyzing and visualizing the health economic outputs of
+decision models.
+
+## Full list of Contributors:
+
+-   [Fernando Alarid-Escudero](https://github.com/feralaes)
+
+-   [Eline Krijkamp](https://github.com/krijkamp)
+
+-   [Eva Enns](https://github.com/evaenns)
+
+-   [Alan Yang](https://github.com/alanyang0924)
+
+-   [Myriam
+    Hunink](http://www.erasmus-epidemiology.nl/people/profile.php?id=45)
+
+-   [Petros Pechlivanoglou](https://github.com/ppehli)
+
+-   [Hawre Jalal](https://github.com/hjalal)