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10 changes: 5 additions & 5 deletions README.Rmd
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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. [A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example](https://arxiv.org/abs/2108.13552). arXiv:2021.13552v1. 2021:1-37.
- Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. [A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example](https://arxiv.org/abs/2108.13552). arXiv:2108.13552v2. 2022:1-37.

The release that accompanies the published article has been archived in zenodo: https://zenodo.org/badge/latestdoi/357371663

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## How to cite this R code in your article

You can cite the R code in this repository like this "we based our analysis using the R code from Alarid-Escudero F et al. (2021)". Here is the full bibliographic reference to include in your reference list for the manuscript and the R code (don't forget to update the 'last accessed' date):
You can cite the R code in this repository like this "we based our analysis using the R code from Alarid-Escudero F et al. (2022)". Here is the full bibliographic reference to include in your reference list for the manuscript and the R code (don't forget to update the 'last accessed' date):

> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example (https://arxiv.org/abs/2108.13552). arXiv:2108.13552v1. 2021:1-37.
> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example (https://arxiv.org/abs/2108.13552). arXiv:2108.13552v2. 2022:1-37.
> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H (2021). R Code for A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example (Version v0.1.0). Zenodo. [10.5281/zenodo.5338819](https://www.doi.org/10.5281/zenodo.5338819). Last accessed 30 August 2021.
> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H (2021). R Code for A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example (Version v0.1.0). Zenodo. [10.5281/zenodo.5338819](https://www.doi.org/10.5281/zenodo.5338819). Last accessed 7 June 2022.
If you adapted the code, you should indicate "Adapted from:" or "Based on" so it is understood that you modified the code. For more information on how to cite computer code, we refer the user to review [Writing Code (from MIT Research Guide)](https://integrity.mit.edu/handbook/writing-code), which provides examples of how and when to cite computer code.

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We recommend reading our introductory tutorial on time-independent cSTMs in R:

- 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:200107824v4. 2022:1-26,
- 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](https://journals.sagepub.com/doi/full/10.1177/0272989X221103163). [Medical Decision Making](https://journals.sagepub.com/home/mdm), 2022 (Online First):1-18. https://doi.org/10.1177/0272989X221103163

and understanding the use of multidimensional arrays to represent cSTM dynamics in R described in:

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18 changes: 10 additions & 8 deletions README.md
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Expand Up @@ -13,8 +13,8 @@ following manuscript:
- Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
Pechlivanoglou P, Jalal H. [A Tutorial on Time-Dependent Cohort
State-Transition Models in R using a Cost-Effectiveness Analysis
Example](https://arxiv.org/abs/2108.13552). arXiv:2021.13552v1.
2021:1-37.
Example](https://arxiv.org/abs/2108.13552). arXiv:2108.13552v2.
2022:1-37.

The release that accompanies the published article has been archived in
zenodo: <https://zenodo.org/badge/latestdoi/357371663>
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## How to cite this R code in your article

You can cite the R code in this repository like this “we based our
analysis using the R code from Alarid-Escudero F et al. (2021)”. Here is
analysis using the R code from Alarid-Escudero F et al. (2022)”. Here is
the full bibliographic reference to include in your reference list for
the manuscript and the R code (don’t forget to update the ‘last
accessed’ date):

> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
> Pechlivanoglou P, Jalal H. A Tutorial on Time-Dependent Cohort
> State-Transition Models in R using a Cost-Effectiveness Analysis
> Example (<https://arxiv.org/abs/2108.13552>). arXiv:2108.13552v1.
> 2021:1-37.
> Example (<https://arxiv.org/abs/2108.13552>). arXiv:2108.13552v2.
> 2022:1-37.
> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
> Pechlivanoglou P, Jalal H (2021). R Code for A Tutorial on
> Time-Dependent Cohort State-Transition Models in R using a
> Cost-Effectiveness Analysis Example (Version v0.1.0). Zenodo.
> [10.5281/zenodo.5338819](https://www.doi.org/10.5281/zenodo.5338819).
> Last accessed 30 August 2021.
> Last accessed 7 June 2022.
If you adapted the code, you should indicate “Adapted from:” or “Based
on” so it is understood that you modified the code. For more information
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- 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:200107824v4.
2022:1-26,
Example](https://journals.sagepub.com/doi/full/10.1177/0272989X221103163).
[Medical Decision Making](https://journals.sagepub.com/home/mdm),
2022 (Online First):1-18.
<https://doi.org/10.1177/0272989X221103163>

and understanding the use of multidimensional arrays to represent cSTM
dynamics in R described in:
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