Saved in:
| Main Authors: | Behrens, Max, Farhadizadeh, Maryam, Rohde, Angelika, Rühle, Alexander, Nicolay, Nils H., Binder, Harald, Zöller, Daniela |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.07631 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
by: Möllenhoff, Kathrin, et al.
Published: (2024)
by: Möllenhoff, Kathrin, et al.
Published: (2024)
Testing similarity of competing risks models by comparing transition probabilities
by: Lange, Zoe Kristin, et al.
Published: (2025)
by: Lange, Zoe Kristin, et al.
Published: (2025)
How to develop, externally validate, and update multinomial prediction models
by: Gehringer, Celina K, et al.
Published: (2023)
by: Gehringer, Celina K, et al.
Published: (2023)
Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)
by: Sadatsafavi, Mohsen, et al.
Published: (2025)
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)
by: Hackenberg, Maren, et al.
Published: (2023)
Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)
by: Macrì-Demartino, Roberto, et al.
Published: (2025)
Gower's similarity coefficients with automatic weight selection
by: D'Orazio, Marcello
Published: (2024)
by: D'Orazio, Marcello
Published: (2024)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
Published: (2024)
Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)
by: Mi, Junhui, et al.
Published: (2024)
Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources
by: Ballerini, Veronica, et al.
Published: (2022)
by: Ballerini, Veronica, et al.
Published: (2022)
Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
by: Xiang, Qingyan, et al.
Published: (2024)
by: Xiang, Qingyan, et al.
Published: (2024)
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
by: John, Luis H., et al.
Published: (2020)
by: John, Luis H., et al.
Published: (2020)
Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)
by: Mauri, Lorenzo, et al.
Published: (2026)
Prediction intervals for overdispersed multinomial data with application to historical controls
by: Budig, Sören, et al.
Published: (2026)
by: Budig, Sören, et al.
Published: (2026)
Overlap, matching, or entropy weights: what are we weighting for?
by: Matsouaka, Roland A., et al.
Published: (2022)
by: Matsouaka, Roland A., et al.
Published: (2022)
Improved order selection method for hidden Markov models: a case study with movement data
by: Dupont, Fanny, et al.
Published: (2024)
by: Dupont, Fanny, et al.
Published: (2024)
A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024)
by: Christensen, Michael F., et al.
Published: (2024)
Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
by: Gao, Chenyin, et al.
Published: (2025)
by: Gao, Chenyin, et al.
Published: (2025)
Improving ex ante accuracy assessment in predicting house price dispersion: evidence from the USA
by: Chwila, Adam, et al.
Published: (2025)
by: Chwila, Adam, et al.
Published: (2025)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
Zero-inflated stochastic block modeling of efficiency-security tradeoffs in weighted criminal networks
by: Lu, Chaoyi, et al.
Published: (2024)
by: Lu, Chaoyi, et al.
Published: (2024)
Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies
by: Micoli, Chiara, et al.
Published: (2024)
by: Micoli, Chiara, et al.
Published: (2024)
Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
Calibrating satellite maps with field data for improved predictions of forest biomass
by: May, Paul B., et al.
Published: (2024)
by: May, Paul B., et al.
Published: (2024)
Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments
by: Hrachov, Maksym, et al.
Published: (2025)
by: Hrachov, Maksym, et al.
Published: (2025)
Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
by: Karmakar, Barin, et al.
Published: (2025)
by: Karmakar, Barin, et al.
Published: (2025)
Monitoring time to event in registry data using CUSUMs based on relative survival models
by: Tran, Jimmy Huy, et al.
Published: (2024)
by: Tran, Jimmy Huy, et al.
Published: (2024)
Copula-based semiparametric nonnormal transformed linear model for survival data with dependent censoring
by: Yu, Huazhen, et al.
Published: (2024)
by: Yu, Huazhen, et al.
Published: (2024)
A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)
by: Hu, Chenglei, et al.
Published: (2024)
A marginal modelling approach for predicting wildfire extremes across the contiguous United States
by: D'Arcy, Eleanor, et al.
Published: (2021)
by: D'Arcy, Eleanor, et al.
Published: (2021)
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
by: Sidrow, Evan, et al.
Published: (2024)
by: Sidrow, Evan, et al.
Published: (2024)
pintervals: an R package for model-agnostic prediction intervals
by: Randahl, David, et al.
Published: (2026)
by: Randahl, David, et al.
Published: (2026)
Improving exponential-family random graph models for bipartite networks
by: Stivala, Alex, et al.
Published: (2025)
by: Stivala, Alex, et al.
Published: (2025)
A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
by: Wang, Zhuoqun, et al.
Published: (2021)
by: Wang, Zhuoqun, et al.
Published: (2021)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
by: Wang, Guanbo, et al.
Published: (2022)
by: Wang, Guanbo, et al.
Published: (2022)
Quantifying uncertainty in spikes estimated from calcium imaging data
by: Chen, Yiqun T., et al.
Published: (2021)
by: Chen, Yiqun T., et al.
Published: (2021)
What if we had built a prediction model with a survival super learner instead of a Cox model 10 years ago?
by: Chatton, Arthur, et al.
Published: (2024)
by: Chatton, Arthur, et al.
Published: (2024)
Similar Items
-
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
by: Möllenhoff, Kathrin, et al.
Published: (2024) -
Testing similarity of competing risks models by comparing transition probabilities
by: Lange, Zoe Kristin, et al.
Published: (2025) -
How to develop, externally validate, and update multinomial prediction models
by: Gehringer, Celina K, et al.
Published: (2023) -
Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025) -
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)