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anddis committed Nov 20, 2018
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13 changes: 11 additions & 2 deletions README.md
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`med4way` allows continuous, binary, count or survival outcomes, and continuous or binary mediators.

Further details can be found in Discacciati et al. (2018) and in the help file.

Note: the 4-way decomposition holds without any assumptions about confounding. However, to interpret each of the components causally does require assumptions about confounding. See VanderWeele (2014) for a detailed exposition of those assumptions.

### How to cite

If you use `med4way`, please cite the following paper:

Discacciati, A., Bellavia, A., Lee, J.J., Mazumdar, M., Valeri, L., 2018. Med4way: a Stata command to investigate mediating and interactive mechanisms using the four-way effect decomposition. International Journal of Epidemiology. [https://doi.org/10.1093/ije/dyy236](https://doi.org/10.1093/ije/dyy236)

### Installation

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### Authors

Andrea Discacciati (1), Andrea Bellavia (2,3), Linda Valeri (4,5)
Andrea Discacciati (1), Andrea Bellavia (2,3), Linda Valeri (4)

*(1) Unit of Biostatistics, Karolinska Institutet, Stockholm, Sweden (2) Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA (3) Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (4) Department of Psychiatry, Harvard Medical School, Boston, MA (5) Psychiatric Biostatistics Laboratory, McLean Hospital, Belmont, MA*
*(1) Unit of Biostatistics, Karolinska Institutet, Stockholm, Sweden (2) Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA (3) Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (4) Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA*

### References

Discacciati, A., Bellavia, A., Lee, J.J., Mazumdar, M., Valeri, L., 2018. Med4way: a Stata command to investigate mediating and interactive mechanisms using the four-way effect decomposition. International Journal of Epidemiology. [https://doi.org/10.1093/ije/dyy236](https://doi.org/10.1093/ije/dyy236)

VanderWeele, T.J., 2014. A unification of mediation and interaction: a 4-way decomposition. Epidemiology (Cambridge, Mass.), 25(5), p.749.
11 changes: 6 additions & 5 deletions med4way.sthlp
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Expand Up @@ -245,15 +245,16 @@ For example, to calculate the overall proportion mediated (op_m){p_end}

{title:References}

{phang}Discacciati, A., Bellavia, A., Lee, J.J., Mazumdar, M., Valeri, L., 2018. Med4way: a Stata command to investigate mediating and interactive mechanisms using the four-way effect decomposition. International Journal of Epidemiology.

{phang}VanderWeele, T.J., 2014. A unification of mediation and interaction: a 4-way decomposition. Epidemiology (Cambridge, Mass.), 25(5), p.749.


{title:Authors}

{pstd}Andrea Discacciati [1], Andrea Bellavia [2,3], Linda Valeri [4,5]{p_end}
{pstd}Andrea Discacciati [1], Andrea Bellavia [2,3], Linda Valeri [4]{p_end}

{pstd}[1] {it:Unit of Biostatistics, Karolinska Institutet, Stockholm, Sweden}{p_end}
{pstd}[2] {it:Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA}{p_end}
{pstd}[3] {it:Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA}{p_end}
{pstd}[4] {it:Department of Psychiatry, Harvard Medical School, Boston, MA}{p_end}
{pstd}[5] {it:Psychiatric Biostatistics Laboratory, McLean Hospital, Belmont, MA}{p_end}
{pstd}[2] {it:Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA}{p_end}
{pstd}[3] {it:Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA}{p_end}
{pstd}[4] {it:Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA}{p_end}

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