Anja Rappl, Dr. rer. biol. hum.
Dr. Anja Rappl
Research interests
- Joint models for longitudinal and time-to-event data
- Quantile regression
- Bayesian statistics
- Variable selection
- Gradient boosting
Publications
Published
- Keppner, V., Krumpoch, S., Kob, R., Rappl, A., Sieber, C., Freiberger, E., & Siebentritt, H. (2023). Safer cycling in older age (SiFAr): effects of a multi-component cycle training. a randomized controlled trial. BMC Geriatrics, 23(1). https://dx.doi.org/10.1186/s12877-023-03816-2
- Rappl, A., Kneib, T., Lang, S., & Bergherr, E. (2023). Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data. Statistics and Computing, 33. https://dx.doi.org/10.1007/s11222-023-10293-5
- Scheufele, P., Rappl, A., Visser, M., Kießwetter, E., & Volkert, D. (2023). Characterisation of community-dwelling older adults with poor appetite. European Journal of Nutrition. https://dx.doi.org/10.1007/s00394-023-03129-5
- Holler, A., Cicha, I., Eckstein, M., Haderlein, M., Poettler, M., Rappl, A.,... Alexiou, C. (2022). Extramedullary plasmacytoma: Tumor occurrence and therapeutic concepts-A follow-up. Cancer Medicine. https://dx.doi.org/10.1002/cam4.4816
- Siebentritt, H., Keppner, V., Britting, S., Kob, R., Rappl, A., Sieber, C., & Freiberger, E. (2021). Safer cycling in older age (SiFAr): a protocol of a randomized controlled trial. BMC Geriatrics, 21(1). https://dx.doi.org/10.1186/s12877-021-02502-5
- Lamotte, S., Rappl, A., Freiberger, E., Sieber, C., & Gehr, T. (2021). Functional status and quality of life of geriatric patients with wounds in acute hospitals A comparison between patients with acute and chronic wounds: a cross-sectional study. Zeitschrift für Gerontologie und Geriatrie. https://dx.doi.org/10.1007/s00391-021-01975-8
- Chareh, N., Rappl, A., Rimmele, M., Wingenfeld, K., Freiberger, E., Sieber, C., & Volkert, D. (2021). Does a 12-month transitional care model intervention by geriatric-experienced care professionals improve nutritional status of older patients after hospital discharge? A randomized controlled trial. Nutrients, 13(9). https://dx.doi.org/10.3390/nu13093023
- Chareh, N., Rappl, A., Rimmele, M., Wingenfeld, K., Freiberger, E., Sieber, C., & Volkert, D. (2021). Does a 12-month Transitional Care Model (TCM) Intervention "Boy Scout" lead to an Improvement in the Nutritional Status of elderly Patients after Discharge from Hospital? A randomized controlled Study. In ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE (pp. S34-S35). HEIDELBERG: SPRINGER HEIDELBERG.
- Rappl, A., Mayr, A., & Waldmann, E. (2021). More than one way: Exploring the capabilities of different estimation approaches to joint models for longitudinal and time-to-event outcomes. International Journal of Biostatistics. https://dx.doi.org/10.1515/ijb-2020-0067
- Chareh, N., Kießwetter, E., Rappl, A., Stehle, P., Heseker, H., Sieber, C., & Volkert, D. (2020). Type of Care and Living Situation Are Associated with Nutritional Care but Not Nutritional Status of Older Persons Receiving Home Care. Healthcare, 8(3). https://dx.doi.org/10.3390/healthcare8030296
- Krumpoch, S., Lindemann, U., Rappl, A., Becker, C., Sieber, C., & Freiberger, E. (2020). The effect of different test protocols and walking distances on gait speed in older persons. Aging Clinical and Experimental Research. https://dx.doi.org/10.1007/s40520-020-01703-z
Talks and Presentations
| 08/2022 | Spatial Joint Models through Bayesian Structured Piecewise Additive Joint Modelling for Longitudinal and Time-to-Event Data | IWSM 2022, Trieste, Italy |
| 04/2022 | Bayesian Effect Selection in Structured Additive Quantile Regression | DAGStat 2022, Hamburg, Germany |
| 01/2021 | Joint Models in Mean Regression and Beyond | colloquium ZeSt, Bielefeld, Germany |
| 10/2019 | Making a tough model choice a bit easer: A (non-exhaustive) guide to Joint Models | IMBIE, Bonn, Germany |
| 03/2019 | More than one way: Exploring the capabilities of different estimation approaches to joint models | DAGStat 2019, Munich, Germany |
| 09/2018 | When observations become extreme: Linking Bayesian Structured Additive Quantile Regression to Joint Modelling | Statistische Woche 2018, Linz, Austria |
| 07/2018 | Comparing different R routines for Joint Modelling | Statistical Computing 2018, Günzburg, Germany |
| 12/2017 | Joint Modelling – An Introduction to models and estimation | CMStatistics 2017, London, UK |