A5022039512- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Mental Health Research Topics
- Mental Health Treatment and Access
- Suicide and Self-Harm Studies
- SARS-CoV-2 and COVID-19 Research
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 Clinical Research Studies
- Digital Mental Health Interventions
- Vaccine Coverage and Hesitancy
- Treatment of Major Depression
- Machine Learning and Data Classification
- Statistical Methods and Bayesian Inference
- HIV Research and Treatment
- Bayesian Modeling and Causal Inference
- Posttraumatic Stress Disorder Research
- Machine Learning and Algorithms
- Bayesian Methods and Mixture Models
- Child and Adolescent Psychosocial and Emotional Development
- Adversarial Robustness in Machine Learning
- HIV/AIDS Research and Interventions
- Resilience and Mental Health
- vaccines and immunoinformatics approaches
- Multi-Criteria Decision Making
University of Washington
2018-2025
Fred Hutch Cancer Center
2018-2025
Park University
2021-2023
Université Paris Cité
2021-2023
Walter de Gruyter (Germany)
2021-2023
College Station Medical Center
2021-2023
Seattle University
2018-2022
Cancer Research Center
2022
Leiden University Medical Center
2020
University of California, Berkeley
2019
Abstract Background Heterogeneity of treatment effects (HTEs) can occur because either differential compliance or effectiveness. This distinction is important, as it has action implications, but unclear how to distinguish these two possibilities statistically in precision analysis given that not observed until after randomization. We review available statistical methods and illustrate a recommended method secondary trial focused on HTE. Methods The randomized n = 880 anxious and/or depressed...
Clinical trials have documented numerous clinical features, social characteristics, and biomarkers that are “prescriptive” predictors of depression treatment response, is, which types treatments best for patients. On the basis these results, research is actively under way to develop multivariate prescriptive prediction models guide precision planning. However, sample size requirements such not been analyzed. We present an analysis here. Simulations using realistic parameter values a...
Several vaccine candidates to protect against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or disease 2019 (COVID-19) have entered will soon enter large-scale, phase 3, placebo-controlled randomized clinical trials. To facilitate harmonized evaluation and comparison of the efficacy these vaccines, a general set endpoints is proposed, along with considerations guide selection primary on basis statistical reasoning. The plausibility that protection symptomatic...
Guided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way to address high unmet need for anxiety and depression treatment. Scalability could be increased if some patients were helped as much by self-guided i-CBT guided i-CBT.
The months after psychiatric hospital discharge are a time of high risk for suicide. Intensive postdischarge case management, although potentially effective in suicide prevention, is likely to be cost-effective only if targeted at high-risk patients. A previously developed machine learning (ML) model showed that suicides can predicted from electronic health records and geospatial data, but it unknown prediction could improved by adding additional information. To determine whether information...
HIV type 1 (HIV-1) remains a global health concern, with the greatest burden in sub-Saharan Africa. Despite 40 years of research, no vaccine candidate has shown durable and protective efficacy against HIV-1 acquisition. Although pre-exposure prophylaxis groups high vulnerability can be very effective, barriers to its use, such as perceived low acquisition risk, fear stigma, concerns about side-effects, remain. Thus, population-based approach, an vaccine, is needed. The current study aimed...
We consider the problem of selecting optimal subgroup to treat when data on covariates are available from a randomized trial or observational study. distinguish between four different settings including: (1) treatment selection resources constrained; (2) not (3) in presence side effects and costs; (4) maximize effect heterogeneity. show that, each these cases, rule involves treating those for whom predicted mean difference outcomes comparing with versus without treatment, conditional...
Clinical trials have identified numerous prescriptive predictors of mental disorder treatment response, ie, which treatments are best for patients. However, none these is strong enough alone to guide precision planning. This has prompted growing interest in developing rules (PTRs) that combine information across multiple predictors, but this work been much less successful psychiatry than some other areas medicine. Study designs and analysis schemes used research on PTR development medicine...
Time is of the essence in evaluating potential drugs and biologics for treatment prevention COVID-19. There are currently 876 randomized clinical trials (phase 2 3) treatments COVID-19 registered on clinicaltrials.gov. Covariate adjustment a statistical analysis method with to improve precision reduce required sample size substantial number these trials. Though covariate recommended by U.S. Food Drug Administration European Medicines Agency, it underutilized, especially types outcomes...
We propose a unified framework for automatic debiased machine learning (autoDML) to perform inference on smooth functionals of infinite-dimensional M-estimands, defined as population risk minimizers over Hilbert spaces. By automating estimation and procedures in causal semiparametric statistics, our enables practitioners construct valid estimators complex parameters without requiring specialized expertise. The supports Neyman-orthogonal loss functions with unknown nuisance data-driven...
Web-based cognitive behavioral therapy (wb-CBT) is a scalable way to reach distressed university students. Guided wb-CBT typically superior self-guided over short follow-up periods, but evidence less clear longer periods. This study aimed compare short-term (3 months) and longer-term (12 aggregate effects of guided versus treatment as usual (TAU) in randomized controlled trial Colombian Mexican students carry out an initially unplanned secondary analysis the role differential predicted...
There is a very high suicide rate in the year after psychiatric hospital discharge. Intensive postdischarge case management programs can address this problem but are not cost-effective for all patients. This issue be addressed by developing risk model to predict which inpatients might need such program. We developed 391,018 short-term admissions of US veterans Veterans Health Administration (VHA) hospitals 2010-2013. Records were linked with National Death Index determine within 12 months...
There is an extensive literature on the estimation and evaluation of optimal individualized treatment rules in settings where all confounders effect outcome are observed. We study development decision some these may not have been measured but a valid binary instrument available for treatment. first consider rules, which will naturally be most interesting it feasible to intervene directly then setting intervening infeasible, encourage feasible. In both settings, we also handle case that...
<h3>Importance</h3> Little guidance exists to date on how select antipsychotic medications for patients with first-episode schizophrenia. <h3>Objective</h3> To develop a preliminary individualized treatment rule (ITR) <h3>Design, Setting, and Participants</h3> This prognostic study obtained data from Taiwan's National Health Insurance Research Database prescribed medications, ambulatory claims, or discharge diagnoses of schizophrenic disorder between January 1, 2005, December 31, 2011. An...