Cover Image

Regression discontinuity design in perinatal epidemiology and birth cohort research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Popovic, Maja, Zugna, Daniela, Richiardi, Lorenzo
Format:	Preprint
Published:	2022
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
by: Kendall, Emmett B., et al.
Published: (2021)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)

A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology
by: Lee, Changwoo J., et al.
Published: (2024)

Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
by: Balocchi, Cecilia, et al.
Published: (2021)

Additive Density Regression
by: Maier, Eva-Maria, et al.
Published: (2025)

Functional Moments Regression
by: Li, Mingyuan, et al.
Published: (2026)

Notes on Causation, Comparison, and Regression
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)

Tractable Ridge Regression for Paired Comparisons
by: Varin, Cristiano, et al.
Published: (2024)

Diagnostics for Regression Models with Semicontinuous Outcomes
by: Yang, Lu
Published: (2024)

Functional Mixture Regression Control Chart
by: Capezza, Christian, et al.
Published: (2024)

Shrinkage Estimators for Beta Regression Models
by: Firinguetti, Luis, et al.
Published: (2024)

Function on Scalar Regression with Complex Survey Designs
by: Koffman, Lily, et al.
Published: (2025)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Generalized Correlation Regression for Disentangling Dependence in Clustered Data
by: Wang, Yibo, et al.
Published: (2025)

Sequential Hierarchical Regression Imputation with Variable Selection Routines
by: Li, Qiushuang, et al.
Published: (2025)

Two-Stage Trigonometric Regression for Modeling Circadian Rhythms
by: Gorczyca, Michael T., et al.
Published: (2025)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

An Italian Gender Equality Index
by: Panebianco, Lorenzo
Published: (2025)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)

A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
by: Linden, Ariel
Published: (2026)

Swap Regression Methodology for Predicting Relationship with Historical Bivariate Data
by: Chitlangia, Viral, et al.
Published: (2025)

Robust Liu-Type Estimation for Multicollinearity in Fuzzy Logistic Regression
by: Shemail, Ayad Habib, et al.
Published: (2025)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)

On Weighted Trigonometric Regression for Suboptimal Designs in Circadian Biology Studies
by: Gorczyca, Michael, et al.
Published: (2024)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)

Age-Specific Logistic Regression with Complex Event Time Data
by: Haoxuan, et al.
Published: (2026)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)

Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
by: Yang, Lu
Published: (2023)

Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)

Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
by: Pai, Nidhi, et al.
Published: (2026)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
by: Maier, Eva-Maria, et al.
Published: (2021)

Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments
by: Hrachov, Maksym, et al.
Published: (2025)

Overfitting Reduction in Convex Regression
by: Liao, Zhiqiang, et al.
Published: (2024)

Priming bias versus post-treatment bias in experimental designs
by: Blackwell, Matthew, et al.
Published: (2023)

Optimal designs for identifying effective doses in drug combination studies
by: Schürmeyer, Leonie, et al.
Published: (2025)