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Universally optimal balanced block designs for interference model
The interference model has been widely used and studied in block designs where the treatment in a particular plot effects on ones in its neighbor...
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Inference in Spatial Experiments with Interference using the
SpatialEffect PackageThis paper presents methods for analyzing spatial experiments when complex spillovers, displacement effects, and other types of “interference” are...
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Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes
To achieve the goal of providing the best possible care to each individual under their care, physicians need to customize treatments for individuals...
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Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects
We propose a novel model-based approach for constructing optimal designs with complex blocking structures and network effects for application in...
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Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes
Estimating individualized treatment rules—particularly in the context of right-censored outcomes—is challenging because the treatment effect...
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Assessing Cross-Level Interactions in Clustered Data Using CATE Estimation Methods
Treatment effect heterogeneity is a critical issue in causal inference, as a one-size-fits-all approach is not sufficient and can even be detrimental...
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N-of-1 Randomized Trials
Single-subject trials have a rich history in the behavioral sciences, but a much more limited history in clinical medicine. This chapter deals with a...
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Community informed experimental design
Network information has become a common feature of many modern experiments. From vaccine efficacy studies to marketing for product adoption,...
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Environmental Projects
This chapter discusses two environmental projects, one concerned with understanding the effects of atmospheric warming on plants, and one concerned...
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Probability Distributions
To the uninitiated, a stochastic model may seem to emerge from nowhere with little explanation. This chapter attempts to address the information gap...
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Statistical Analysis of Patient-Reported Outcomes in Clinical Trials
Clinicians, researchers, funding agencies, regulatory agencies, and patients have long acknowledged the importance of patient-reported outcomes...
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Basic Concepts
This chapter is a discussion of basic concepts in probability and applied statistics, beginning with the notion of probability and stochastic...
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The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US.
Covid-19 vaccination has posed crucial challenges to policymakers and health administrations worldwide. Besides the pressure posed by the pandemic,...
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Deep Spatial Q-Learning for Infectious Disease Control
Infectious diseases are a cause of humanitarian and economic crises across the world. In develo** regions, a severe epidemic can result in the...
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N-of-1 Randomized Trials
Single-subject trials have a rich history in the behavioral sciences, but a much more limited history in clinical medicine. This chapter deals with a...
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Construction of trend-free optimal block designs under some correlation structures
In many block experiments where the treatments are applied to the experimental units sequentially over time or space, there may be a systematic trend...
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Estimating causal effects of community health financing via principal stratification
When a treatment cannot be enforced, but only encouraged, noncompliance naturally arises. In applied economics, the common empirical strategy for...
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Patient-Reported Outcomes
Patient-reported outcomes (PROs) are defined as any report that comes directly from a patient. Their use as key outcomes in clinical trials has...
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Adherence Adjusted Estimates in Randomized Clinical Trials
Randomized clinical trials (RCTs) are considered the gold standard for establishing the efficacy of an intervention. This is because randomizing...
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Initial Values
Initial values, are values of a stochastic process measured at baseline, usually prior to the determination of patient eligibility, and certainly...