Research output per year
Research output per year
Personal profile
Primary fields of research
The development and evaluation of biomarker signatures for treatment selection, computational methods and interfaces for deriving symbolic bounds on causal effects, and regression modeling of cumulative estimands with censored event history data.
General areas of interest: Reproducible research, computational statistics, R programming, Bayesian nonparametric models, survival analysis.
Teaching
"Programming and Statistical Modeling in R". Course webpage: https://sachsmc.github.io/r-programming/
Education/Academic qualification
Biostatistics, Doctorate, University of Washington
Award Date: 15 Aug 2011
-
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R
Sachs, M. C. & Gabriel, E. E., 2022, In: Journal of Statistical Software. 102, 9, p. 1-34 34 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Citations (Scopus)18 Downloads (Pure) -
A General Method for Deriving Tight Symbolic Bounds on Causal Effects
Sachs, M. C., Jonzon, G., Sjölander, A. & Gabriel, E. E., 2023, In: Journal of Computational and Graphical Statistics. 32, 2, 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Citations (Scopus)28 Downloads (Pure) -
Flexible evaluation of surrogacy in platform studies
Sachs, M. C., Gabriel, E. E., Crippa, A. & Daniels, M. J., 2023, In: Biostatistics. 25, 1, p. 220–236 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access2 Citations (Scopus) -
Menopausal hormone therapy and risk of sarcoidosis: a population-based nested case-control study in Sweden
Dehara, M., Kullberg, S., Bixo, M., Sachs, M. C., Grunewald, J. & Arkema, E. V., 2024, In: European Journal of Epidemiology. 39, p. 313–322 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Propensity weighting plus adjustment in proportional hazards model is not doubly robust
Gabriel, E. E., Sachs, M. C., Waernbaum, I., Goetghebeur, E., Blanche, P. F., Vansteelandt, S., Sjölander, A. & Scheike, T., 2024, In: Biometrics. 80, 3, ujae069.Research output: Contribution to journal › Journal article › Research › peer-review
-
Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes
Gabriel, E. E., Sachs, M. C. & Jensen, A. K., 2024, In: Biometrika. 111, 4, p. 1429–1436 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Downloads (Pure) -
The impact of coarsening an exposure on partial identifiability in instrumental variable settings
Gabriel, E. E., Sachs, M. C. & Sjölander, A., 2024, (E-pub ahead of print) In: Biostatistics (Oxford, England).Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Confirmatory prediction-driven RCTs in comparative effectiveness settings for cancer treatment
Brand, A., Sachs, M. C., Sjölander, A. & Gabriel, E. E., 2023, In: British Journal of Cancer. 128, p. 1278–1285 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile14 Downloads (Pure)