Inverse probability weighting
View article: Emergency Department Disposition and Point-of-Care Ultrasound in Biliary Disease: Propensity-Weighted Cohort Study
Emergency Department Disposition and Point-of-Care Ultrasound in Biliary Disease: Propensity-Weighted Cohort Study Open
Introduction: Biliary tract disease is a frequent cause of abdominal pain among emergency department (ED) patients and accounts for a significant portion of hospital admissions and return visits. Our objective was to compare ED outcomes fo…
View article: Dermainformatics: A Data-Driven Framework for Function-Based Skin Typing and Causal Estimation of Skin Health Outcomes
Dermainformatics: A Data-Driven Framework for Function-Based Skin Typing and Causal Estimation of Skin Health Outcomes Open
Conventional skin type classifications rely on subjective, phenotype-based descriptors (e.g., dryness, oiliness, sensitivity), limiting mechanistic insight and predictive value. We introduce Dermainformatics, novel data-driven framework de…
View article: Addressing Selection and Confounding Biases in Dental Claims Data: A Causal Inference Framework for Periodontal–Systemic Disease Research
Addressing Selection and Confounding Biases in Dental Claims Data: A Causal Inference Framework for Periodontal–Systemic Disease Research Open
Administrative health care data offer unique opportunities to investigate relationships between oral and systemic diseases. However, these data sources introduce methodological challenges that can compromise causal inference. This article …
View article: Association between activating KIR and Perianal Crohn’s Disease in Pediatric Patients: A Nested case–control study
Association between activating KIR and Perianal Crohn’s Disease in Pediatric Patients: A Nested case–control study Open
Objective : Perianal Crohn’s disease (PCD) is a severe complication of Crohn’s disease (CD) that significantly impacts the quality of life in pediatric patients. This study aims to investigate the clinical risk factors associated with PCD,…
View article: Association between the diet gut microbiota index and survival in adult cancer survivors: Findings from the National Health and Nutrition Examination Survey (2007–2018)
Association between the diet gut microbiota index and survival in adult cancer survivors: Findings from the National Health and Nutrition Examination Survey (2007–2018) Open
The gut microbiota (GM) is increasingly recognized as a key factor influencing cancer progression, treatment response, and long-term survival. Dietary patterns are major modulators of GM composition and may thus impact clinical outcomes in…
View article: Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness
Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness Open
Multimodal Sentiment Analysis (MSA) is critical for human-computer interaction but faces challenges when the modalities are incomplete or missing. Existing methods often assume pre-defined missing modalities or fixed missing rates, limitin…
View article: Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness
Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness Open
Multimodal Sentiment Analysis (MSA) is critical for human-computer interaction but faces challenges when the modalities are incomplete or missing. Existing methods often assume pre-defined missing modalities or fixed missing rates, limitin…
View article: Causal Inference on Sequential Treatments via Tensor Completion
Causal Inference on Sequential Treatments via Tensor Completion Open
Marginal Structural Models (MSMs) are popular for causal inference of sequential treatments in longitudinal observational studies, which however are sensitive to model misspecification. To achieve flexible modeling, we envision the potenti…
View article: Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates Open
Across health applications, researchers model outcomes as a function of time to an event, but the event time is right-censored for participants who exit the study or otherwise do not experience the event during follow-up. When censoring de…
View article: Early enteral nutrition and mortality in mechanically ventilated septic patients receiving vasopressors: A retrospective cohort study using the MIMIC-IV database
Early enteral nutrition and mortality in mechanically ventilated septic patients receiving vasopressors: A retrospective cohort study using the MIMIC-IV database Open
Background The role of early enteral nutrition (EEN) in septic shock remains unclear. This study aimed to evaluate the association between EEN and clinical outcomes in septic patients requiring vasopressor therapy and invasive mechanical v…
View article: Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs Open
Survival is a key metric for evaluating standards of care for people living with HIV. In resource-limited settings, high rates of loss to follow-up (LTFU) often result in underestimation of mortality when only observed deaths are considere…
View article: Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates Open
Across health applications, researchers model outcomes as a function of time to an event, but the event time is right-censored for participants who exit the study or otherwise do not experience the event during follow-up. When censoring de…
View article: Causal Inference on Sequential Treatments via Tensor Completion
Causal Inference on Sequential Treatments via Tensor Completion Open
Marginal Structural Models (MSMs) are popular for causal inference of sequential treatments in longitudinal observational studies, which however are sensitive to model misspecification. To achieve flexible modeling, we envision the potenti…
View article: Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs Open
Survival is a key metric for evaluating standards of care for people living with HIV. In resource-limited settings, high rates of loss to follow-up (LTFU) often result in underestimation of mortality when only observed deaths are considere…
View article: Long-Term Risk of Pneumonia Among Gastric Cancer Survivors: A Nationwide Population-Based Cohort Study
Long-Term Risk of Pneumonia Among Gastric Cancer Survivors: A Nationwide Population-Based Cohort Study Open
Background/Objectives: Gastric cancer (GC) remains a major global health burden, but its long-term association with pneumonia risk has not been comprehensively investigated. This study aimed to evaluate the long-term risk of pneumonia amon…
View article: Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model
Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model Open
The optimal treatment for esophageal cancer (EC) invading the muscularis mucosa (T1a-M3) or submucosa (T1b) remains debated. This study analyzed patients with stage T1a-M3/T1b EC from the SEER database (cycle 2004-2017). Cancer-specific su…
View article: Two vs three cycles of neoadjuvant immunochemotherapy for resectable non-small-cell lung cancer: a real-world population-based study
Two vs three cycles of neoadjuvant immunochemotherapy for resectable non-small-cell lung cancer: a real-world population-based study Open
Objective Investigation of the Impact of Neoadjuvant Immunochemotherapy Cycles on Pathological Response, Perioperative Safety, and Survival Outcomes in Patients with Resectable Non-Small Cell Lung Cancer (NSCLC). Methods This study utilize…
View article: Computer‐Assisted Versus Freehand Surgery in Oncological Margins Control for Oral Squamous Cell Carcinomas: A Retrospective Case‐Control Clinical Study
Computer‐Assisted Versus Freehand Surgery in Oncological Margins Control for Oral Squamous Cell Carcinomas: A Retrospective Case‐Control Clinical Study Open
Background Margin control is a crucial prognostic factor in head and neck oncological surgery. This retrospective case‐control study aims to assess the superiority of computer‐assisted surgery compared to traditional surgery in achieving o…
View article: Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods
Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods Open
Propensity score (PS) methods are widely used to estimate treatment effects in non-randomized studies. Variance is typically estimated using sandwich or bootstrap methods, which can either treat the PS as estimated or fixed. The latter is …
View article: Increased <scp>HbA1c</scp> relative to actual glycemic control in patients treated with sodium–glucose cotransporter 2 inhibitors
Increased <span>HbA1c</span> relative to actual glycemic control in patients treated with sodium–glucose cotransporter 2 inhibitors Open
Aims/Introduction Among patients with diabetes receiving sodium–glucose cotransporter 2 (SGLT2) inhibitors, HbA1c levels are higher than glycated albumin levels. This study therefore aimed to evaluate the discrepancy between HbA1c and gluc…
View article: Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods
Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods Open
Propensity score (PS) methods are widely used to estimate treatment effects in non-randomized studies. Variance is typically estimated using sandwich or bootstrap methods, which can either treat the PS as estimated or fixed. The latter is …
View article: Quantifying and adjusting for selection biases in the Norwegian Mother, Father and Child Cohort Study using population-wide individual-level registry information
Quantifying and adjusting for selection biases in the Norwegian Mother, Father and Child Cohort Study using population-wide individual-level registry information Open
Background: Selective participation in research studies hampers researchers’ ability to draw valid and generalizable inferences from analyses. Quantifying and adjusting for selective participation is desirable, but can be challenging given…
View article: GLP1s vs DPP4s and Risk of Dementia in Patients Requiring Hemodialysis, A Target Trial Emulation Study
GLP1s vs DPP4s and Risk of Dementia in Patients Requiring Hemodialysis, A Target Trial Emulation Study Open
Objective:Glucagon-like peptide-1 agonists (GLP1s) (versus dipeptidyl peptidase-4 inhibitors [DPP4s]) are associated with reduced risk of dementia in the general population with diabetes, but if this association is true for patients requir…
View article: A tutorial for propensity score weighting methods under violations of the positivity assumption
A tutorial for propensity score weighting methods under violations of the positivity assumption Open
Violations of the positivity assumption can render conventional causal estimands unidentifiable, including the average treatment effect (ATE), the average treatment effect on the treated (ATT), and the average treatment effect on the contr…
View article: A tutorial for propensity score weighting methods under violations of the positivity assumption
A tutorial for propensity score weighting methods under violations of the positivity assumption Open
Violations of the positivity assumption can render conventional causal estimands unidentifiable, including the average treatment effect (ATE), the average treatment effect on the treated (ATT), and the average treatment effect on the contr…
View article: GLP1s vs DPP4s and Risk of Dementia in Patients Requiring Hemodialysis, A Target Trial Emulation Study
GLP1s vs DPP4s and Risk of Dementia in Patients Requiring Hemodialysis, A Target Trial Emulation Study Open
Objective:Glucagon-like peptide-1 agonists (GLP1s) (versus dipeptidyl peptidase-4 inhibitors [DPP4s]) are associated with reduced risk of dementia in the general population with diabetes, but if this association is true for patients requir…
View article: Waning Protection Against Severe COVID-19 Following Vaccination: A Longitudinal IPTW Analysis of Emergency Department Encounters
Waning Protection Against Severe COVID-19 Following Vaccination: A Longitudinal IPTW Analysis of Emergency Department Encounters Open
Background: The duration of protection that COVID-19 vaccination provides against severe outcomes remains uncertain. Accurately defining this timeframe is critical for informing effective vaccination policies and booster strategies. This i…
View article: Prospective Inference of Central Tendency Through Data-Adaptive Mechanisms
Prospective Inference of Central Tendency Through Data-Adaptive Mechanisms Open
In the modern age of data enrichment, it has become necessary to incorporate adaptive inference processes into survey-based estimation systems in order to achieve efficient and consistent population summaries. In this work, a new type of d…
View article: Rotasiil vaccine effectiveness against rotavirus-associated hospitalizations in the Democratic Republic of the Congo: comparison of multivariate logistic regression and inverse probability treatment weighting methods in a test-negative design
Rotasiil vaccine effectiveness against rotavirus-associated hospitalizations in the Democratic Republic of the Congo: comparison of multivariate logistic regression and inverse probability treatment weighting methods in a test-negative design Open
Rotasiil vaccination under conditions of routine use effectively reduces rotavirus-associated diarrhea hospitalizations among children, supporting the ongoing use of rotavirus vaccine. The IPTW VE estimate was more precise than multivariat…
View article: Supplemental materials for study "Impact of the methotrexate co-prescription on the persistence of TNF inhibitors in psoriasis: a cohort study on the French National Health Data System"
Supplemental materials for study "Impact of the methotrexate co-prescription on the persistence of TNF inhibitors in psoriasis: a cohort study on the French National Health Data System" Open
This supplemental material provides additional methodological details, definitions, and results supporting the main analysis. Data Source: Describes the French national health data system (SNDS), and approvals for study. Marginal Structura…