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robertthiesmeier/README.md

Hello 👋

Hi, I am a doctoral student 👨‍🎓 in biostatistics at the Department of Global Public Health at Karolinska Institutet in Stockholm, Sweden 🇸🇪.

The aim of my PhD is to investigate, evaluate, and develop statistical methods for the design, analysis, and interpretation of pooling projects. The project is supervised by Assoc. Prof. Nicola Orsini and Prof. Scott Hofer.

🔭 We are currently working on methods to impute missing values with external data.

📍I am currently based in Boston, MA, USA, as a research trainee for 6-months at the TIMI Study Group, Brigham and Women's Hospital/Harvard Medical School.

📎 Check out the latest publication on missing data in distributed data networks.

📫 Please contact me for any questions: robert.thiesmeier@ki.se

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  1. cqi_missing_data cqi_missing_data Public

    Multiple imputation for systematically missing effect modifiers in individual participant data meta-analysis

    HTML

  2. mi_impute_from mi_impute_from Public

    Imputation of missing values using external data

  3. TeachingBiostats TeachingBiostats Public

    Presenting a simulation-based approach to teach biostatistics

    R

  4. cross_site_imputation cross_site_imputation Public

    Computer code and working example on how to recover covariates without the need to share individual data

  5. UnmeasuredConfounding UnmeasuredConfounding Public

    Code for a probabilistic sensitivity analysis of an unmeasured confounder

    Python 1