Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression

Lutz W, Arndt A, Rubel J, Berger T, Schröder J, Späth C, Meyer B, Greiner W, Gräfe V, Hautzinger M, Fuhr K, et al. (2017)
Journal of Medical Internet Research 19(6): e206.

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Lutz W, Arndt A, Rubel J, et al. Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research. 2017;19(6): e206.
Lutz, W., Arndt, A., Rubel, J., Berger, T., Schröder, J., Späth, C., Meyer, B., et al. (2017). Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research, 19(6), e206. doi:10.2196/jmir.7367
Lutz, W., Arndt, A., Rubel, J., Berger, T., Schröder, J., Späth, C., Meyer, B., Greiner, W., Gräfe, V., Hautzinger, M., et al. (2017). Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research 19:e206.
Lutz, W., et al., 2017. Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research, 19(6): e206.
W. Lutz, et al., “Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression”, Journal of Medical Internet Research, vol. 19, 2017, : e206.
Lutz, W., Arndt, A., Rubel, J., Berger, T., Schröder, J., Späth, C., Meyer, B., Greiner, W., Gräfe, V., Hautzinger, M., Fuhr, K., Rose, M., Nolte, S., Löwe, B., Hohagen, F., Klein, J.P., Moritz, S.: Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression. Journal of Medical Internet Research. 19, : e206 (2017).
Lutz, Wolfgang, Arndt, Alice, Rubel, Julian, Berger, Thomas, Schröder, Johanna, Späth, Christina, Meyer, Björn, Greiner, Wolfgang, Gräfe, Viola, Hautzinger, Martin, Fuhr, Kristina, Rose, Matthias, Nolte, Sandra, Löwe, Bernd, Hohagen, Fritz, Klein, Jan Philipp, and Moritz, Steffen. “Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression”. Journal of Medical Internet Research 19.6 (2017): e206.
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PMID: 28600278
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