General Exam - Anand Hemmady: Estimands and methods for causal inference with continuous exposures
Presentation: Estimands and methods for causal inference with continuous exposures
Abstract: We consider some of the many challenges that arise when dealing with continuous exposures in causal inference. Common estimands for causal inference with continuous exposures are often difficult to interpret, technically challenging to estimate, or rely on unrealistic assumptions for identification. We first introduce a new estimand, based on a particular stochastic intervention, that has a scientifically relevant interpretation and does not require the so-called positivity assumption for identification. We propose an estimator and derive its asymptotic properties. Next, we develop an approach for doing causal inference when the exposure is observed with error. Assuming the existence of an external validation set in which the exposure is measured accurately, we pose the problem of estimation under measurement error as one involving functionals of solutions of integral equations, thus connecting the problem to recent…
Event interval: Single day event. Online Meeting Link: https://washington.zoom.us/j/95289719027. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Academics.
Tuesday, June 10, 2025, 12:00 PM – 2:00 PM.
UW School of Public Health 2025 Graduation Celebration
UW School of Public Health 2025 Graduation Celebration, Where: McCaw Hall 321 Mercer St, Seattle, WA 98109
When: Monday; June 16th, 2025
Time: 11 am – 1:30 pm
Doors open at 10 am.
Students must RSVP to participate. Please check back later for RSVP form.
We hope you will join us in celebrating the tremendous accomplishments of the class of 2025.
Email SPH Student Academic Services staff at sphsas@uw.edu.
Event interval: Single day event. Accessibility Contact: SPH Student Academic Services staff at sphsas@uw.edu. Event Types: Ceremonies.
Monday, June 16, 2025, 11:00 AM – 1:30 PM.
McCaw Hall 321 Mercer St, Seattle, WA 98109.
For more info visit sph.washington.edu. Biostatistics Information Session for Accepted Students
All students entering a Biostatistics program in autumn 2025 are highly encouraged to attend this session. Zoom link for the session will be emailed to students directly. Additional questions may be directed to Trevor Smith at tsmith89@uw.edu.
This event held also on: June 3, July 1, and July 24.
Event interval: Single day event. Accessibility Contact: Trevor Smith. Event Types: Information Sessions.
Tuesday, June 24, 2025, 1:00 PM – 2:00 PM.
Biostatistics Information Session for Accepted Students
All students entering a Biostatistics program in autumn 2025 are highly encouraged to attend this session. Zoom link for the session will be emailed to students directly. Additional questions may be directed to Trevor Smith at tsmith89@uw.edu.
This event held also on: June 3, June 24, and July 24.
Event interval: Single day event. Accessibility Contact: Trevor Smith. Event Types: Information Sessions.
Tuesday, July 1, 2025, 1:00 PM – 2:00 PM.
Design and Analysis of Clinical Trials
This 3-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
The design and analysis of a randomized clinical trial involves a series of decisions, including the choice of the primary outcome, sample size, randomization algorithm, interim monitoring plan, and the choice of the primary analysis and estimand of interest. This course will focus on the statistical considerations that inform each of these decisions. Additional topics include addressing multiple comparisons, handling missing data, and whether to consider an adaptive design. We will present a set of simple tools and principles that go a long way towards defining a robust clinical trial design. We will also shed light on some common pitfalls to avoid. Discussions will be driven by examples of trials from a variety of domains including cardiovascular disease, infectious disease (HIV, Ebola, COVID-19), as well as other settings.
We assume…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Tuesday, July 8, 2025, 8:30 AM – Thursday, July 10, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Modern Statistical Learning for Observational Data
This 4-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
While clinical trials provide the highest level of evidence to compare clinical treatments or public health interventions, they are often not feasible due to ethical, logistic or economic constraints. Observational studies provide an opportunity to learn about the effect of interventions for which little or no trial data are available. These studies constitute a potentially rich and relatively cheap source of information. However, in such studies, treatment or intervention allocation may be strongly confounded by other important patient characteristics and much care is needed to disentangle observed relationships and infer causal effects.
In this course, we will provide an overview of modern statistical techniques for analyzing observational data. We will focus primarily on recent advances in the field of targeted learning, which…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Workshops. Special Events. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Tuesday, July 8, 2025, 8:30 AM – Friday, July 11, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Analyzing Data From Complex Surveys
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 1-4:30 p.m. PDT each day.
Health scientists increasingly use data from unequal-probability survey designs, either public-use data
from national surveys such as NHANES and NLSY, or their own surveys, or from subsamples of existing
cohorts or databases. Correct analysis of survey data requires appropriate software and an
understanding of basic survey concepts, but is otherwise just like any data analysis. In this module we
will cover the concepts of weights, clusters, and strata, and how to use the R survey package to conduct
analyses.
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Tuesday, July 8, 2025, 1:00 PM – Wednesday, July 9, 2025, 4:30 PM.
For more info visit si.biostat.washington.edu. Introduction to Survival Analysis
This 2-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 1-4:30 p.m. PDT each day.
Time-to-event data are common in biomedical research and present unique challenges for analysis, given many subjects under study will not experience the event of interest. After outlining the basic structure of survival data, we will the cover the key methods for survival analysis including Kaplan Meier survival curves; the log-rank test and alternative testing procedures for group comparisons; and the Cox proportional hazards model. Analytical approaches for survival data with competing risks will also be introduced. Emphasis in this module will be on the practical application of these methods, with illustrative examples from medical and public health research being used throughout. Examples will feature best practices for reporting of results and analysis pitfalls to avoid. As time allows, we will consider concepts and controversies for…
Event interval: Single day event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Thursday, July 10, 2025, 1:00 PM – Friday, July 11, 2025, 4:30 PM.
For more info visit si.biostat.washington.edu. Special Topics in Clinical Trials: Interpreting Exploratory Analysis & When Are Biomarkers Valid Surrogates?
This one-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT.
This module will address two key topics that have broad implications in the design and analysis of clinical trials: the role of biomarkers as replacement endpoints, including insights about why a correlate does not a surrogate make; and the interpretability of confirmatory vs. exploratory analyses, motivating the need to recognize the goal of clinical research to determine whether, not to establish, that an experimental intervention is safe and effective.
Event interval: Single day event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Friday, July 11, 2025, 8:30 AM – 12:00 PM.
For more info visit si.biostat.washington.edu. Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
This three-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
Longitudinal studies follow individuals over time and repeatedly measure health status, which facilitates prospective ascertainment of exposures and incident outcomes, and identification of changes over time within individuals. Analyses of longitudinal data must account for the correlation that arises from collecting repeated measures on the same individuals over time.
This course will introduce statistical methods for the analysis of longitudinal data, with a focus on marginal (or, population-averaged) models fit via generalized estimating equations and conditional (or, subject-specific) models fit via generalized linear mixed-effects models. Relevant theoretical background will be provided. Illustrative examples and interactive activities (conducted in R) will be used to practice analysis approaches, modeling strategies, and…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Monday, July 14, 2025, 8:30 AM – Wednesday, July 16, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
In randomized clinical trials with baseline variables that are correlated with the outcome, there is potential to improve precision and reduce the required sample size by appropriately adjusting for these variables in the statistical analysis (called covariate adjustment). The resulting sample size reductions can lead to substantial cost savings, and also can lead to more ethical trials since they avoid exposing more participants than necessary to experimental treatments. Despite regulators such as the U.S. Food and Drug Administration and the European Medicines Agency recommending covariate adjustment, it remains underutilized leading to inefficient trials in many disease areas. This is especially true for trials with binary, ordinal, and time-to-event outcomes, which are quite common.
This course provides a comprehensive overview of…
Event interval: Single day event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Monday, July 14, 2025, 8:30 AM – Tuesday, July 15, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Design and Analysis of Two-Phase Studies
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 1-4:30 p.m. PDT each day.
Researchers often need to measure new variables, or validate existing measurements. Doing this for a whole cohort or database can be prohibitively expensive, so techniques are needed for choosing good subsamples and analyzing them efficiently. This module will give both a conceptual and practical introduction to planning and analyzing modern two-phase study designs. We will cover efficient weighted estimation using the whole cohort, and the optimal design and allocation of subsamples. Exercises will focus on practical aspects of implementing methods using the R survey package.
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Workshops. Special Events. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Wednesday, July 16, 2025, 1:00 PM – Thursday, July 17, 2025, 4:30 PM.
For more info visit si.biostat.washington.edu. Joint Modeling of Longitudinal and Survival Data
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
Longitudinal studies follow individuals over time and repeatedly measure health status. Analyses of longitudinal data are often complicated by several factors that can threaten the validity of standard analysis methods. First, missing data in longitudinal outcomes can arise when individuals are lost to follow-up, either due to drop-out (e.g. in randomized trails) or death (e.g. in long-term observational studies). Second, when modeling intermittently measured time-dependent covariates in a survival analysis, biological variation can lead to measurement error. Joint modeling of longitudinal and survival outcomes has emerged as a novel approach to handle these issues.
We will detail the use of mixed-effects models for the analysis of repeated longitudinal measures, Cox regression models for the analysis of event-time outcomes with…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Thursday, July 17, 2025, 8:30 AM – Friday, July 18, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Data Wrangling with R
This 2.5-day online course is part of the 2025 Summer Institute in Statistics for Big Data (SISBID). Course times are: Monday: 8 a.m. – 2:30 p.m. PDT , Tuesday: 8 a.m. – 2:30 p.m. PDT , Wednesday: 8 a.m. – 11 a.m. PDT, Participants will learn how to prepare and process data, a key step prior to visualization and statistical analysis. Our approach focuses on the concept of creating “tidy data” e.g. data that is organized into readable and distributable files. In this module, we will: Use hands-on examples covering concepts on data retrieval, cleaning, manipulation, and formatting. , Touch on reproducible research using R Markdown and collaborative code sharing using GitHub. Some familiarity with R is needed for this course.
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Special Events. Conferences. Workshops. Target Audience: Researchers interested in statistical techniques for analysis of biological big data.
Monday, July 21, 2025, 8:30 AM – Wednesday, July 23, 2025, 2:30 PM.
For more info visit si.biostat.washington.edu. Using Causal Graphs in Epidemiological Research
This one-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT.
This course will introduce the basic concepts of graphical models focusing on their use in causal inference as applied in epidemiological and biostatistical research. Causal graphs aim to encapsulate the key dependencies believed to be present between variables observed in a multivariable study setting. Such graphs assist the researcher in formulating appropriate statistical methods for estimating key causal quantities of interest, and guide them into the appropriate form of statistical adjustment for confounding. This course will demonstrate the use of causal graphs and the accompanying analyses in different settings. Participants will learn how to construct analysis based on causal graph structures.
Event interval: Single day event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Tuesday, July 22, 2025, 8:30 AM – 12:00 PM.
For more info visit si.biostat.washington.edu. Absolute Risk: Methods and Applications in Clinical Care and Public Health
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
This course is an introduction to absolute risk, the probability of developing a specific outcome, over a specified time interval, in the presence of competing events. This course will define absolute risk and discuss methodological issues relevant to the development and evaluation of absolute risk models. I will present the cause-specific and cumulative incidence approaches to incorporating covariates and discuss various study designs and data for model building, including cohort, nested case-control, and case-control data combined with registry data. I will show how to evaluate the performance of risk prediction models and discuss the use of absolute risk in individual counseling for prevention strategies, including interventions that can have adverse effects. I will address the impact of different distributions of model predictors…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Wednesday, July 23, 2025, 8:30 AM – Thursday, July 24, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Causal Inference with Observational Data: Common Designs and Statistical Methods
This three-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
Observational studies are non-interventional empirical investigations of causal effects and are playing an increasingly vital role in healthcare decision making in the era of data science. The study design is particularly important in planning observational studies due to the lack of randomization. Aspects of design include defining the objectives and context under investigation, collecting the right data, and choosing suitable strategies to remove bias from measured and unmeasured confounders. Statistical analysis should also align with the design.
This course covers key concepts and useful methods for designing and analyzing observational studies. The first part of the module will focus on matching and weighting methods for cohort and case-control studies for causal inference. Specific topics include basic tools of matching and…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Workshops. Special Events. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Wednesday, July 23, 2025, 8:30 AM – Friday, July 25, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Data Visualization
This 2.5-day online course is part of the 2025 Summer Institute in Statistics for Big Data (SISBID). Course times are: Wednesday: 11:30 a.m.-2:30 p.m. Pacific (2:30-5:30 p.m. Eastern) , Thursday, 8 a.m. – 2:30 p.m. Pacific (11 a.m. – 5:30 p.m. Eastern) , Friday, 8 a.m. – 2:30 p.m. Pacific (11 a.m. – 5:30 p.m. Eastern), We will present general-purpose techniques for visualizing a variety of data, as well as specific techniques for visualizing common types of biological data sets. Som strategies for working with large data will be provided. Understanding data involves an iterative cycle of visualization and modeling. We will illustrate this with several examples during the workshop.
The first segment of this module will focus on structured development of graphics using static graphics. This will use the ggplot2 package in R. It enables building plots using grammatically defined elements, and producing templates for use with multiple data sets. We will include some these principles for working with biological…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Workshops. Special Events. Conferences. Target Audience: Researchers interested in statistical techniques for analysis of biological big data.
Wednesday, July 23, 2025, 11:30 AM – Friday, July 25, 2025, 2:30 PM.
For more info visit si.biostat.washington.edu. Biostatistics Information Session for Accepted Students
All students entering a Biostatistics program in autumn 2025 are highly encouraged to attend this session. Zoom link for the session will be emailed to students directly. Additional questions may be directed to Trevor Smith at tsmith89@uw.edu.
This event also held on: June 3, June 24, and July 1.
Event interval: Single day event. Accessibility Contact: Trevor Smith. Event Types: Information Sessions.
Thursday, July 24, 2025, 1:00 PM – 2:00 PM.
Supervised Methods for Statistical Machine Learning
This 2.5-day online course is part of the 2025 Summer Institute in Statistics for Big Data (SISBID). Course times are: Monday: 8 a.m. – 2:30 p.m. PDT , Tuesday: 8 a.m. – 2:30 p.m. PDT , Wednesday: 8 a.m. – 11 a.m. PDT, In this course, we will present a number of supervised learning techniques for the analysis of Biomedical Big Data. These techniques include penalized approaches for performing regression, classification, and survival analysis with Big Data. Support vector machines, decision trees, and random forests will also be covered.
The main emphasis will be on the analysis of “high-dimensional” data sets from genomics, transcriptomics, metabolomics, proteomics, and other fields. These data are typically characterized by a huge number of molecular measurements (such as genes) and a relatively small number of samples (such as patients). We will also consider electronic health record data sets, which often contain many missing measurements.
Throughout the course, we will focus on common pitfalls in the…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Workshops. Special Events. Target Audience: Researchers interested in statistical techniques for analysis of biological big data.
Monday, July 28, 2025, 8:00 AM – Wednesday, July 30, 2025, 2:30 PM.
For more info visit si.biostat.washington.edu. Missing Data Methods
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
Although missing data are pervasive in studies across disciplines, the impact of missing data on estimation and inference and the strengths and weaknesses of modern approaches to handling missing data are not widely understood.
This module will review common missing data mechanisms, then introduce a variety of methods for estimation and inference in the presence of missing data, including conventional methods, the EM algorithm, multiple imputation, and semi-parametric methods. Approaches to sensitivity analyses will also be discussed. All methods will be illustrated in R using data from observational studies.
This course is targeted towards individuals with little or no prior experience with modern missing data methods. Experience using regression methods to analyze data (e.g. linear regression, logistic regression) is important…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Monday, July 28, 2025, 8:30 AM – Tuesday, July 29, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Unsupervised Methods for Statistical Machine Learning
This 2.5-day online course is part of the 2025 Summer Institute in Statistics for Big Data (SISBID). Course times are: Wednesday: 11:30 a.m.-2:30 p.m. Pacific (2:30-5:30 p.m. Eastern) , Thursday, 8 a.m. – 2:30 p.m. Pacific (11 a.m. – 5:30 p.m. Eastern) , Friday, 8 a.m. – 2:30 p.m. Pacific (11 a.m. – 5:30 p.m. Eastern), In this course, we will present a number of unsupervised learning techniques for finding patterns and associations in Biomedical Big Data. These include dimension reduction techniques such as principal components analysis and non-negative matrix factorization, clustering analysis, and network analysis with graphical models.
We will also discuss large-scale inference issues, such as multiple testing, that arise when mining for associations in Biomedical Big Data. As in Module 4 on supervised learning, the main emphasis will be on the analysis of real high-dimensional data sets from various scientific fields, including genomics and biomedical imaging. The techniques discussed will be…
Event interval: Single day event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Workshops. Special Events. Conferences. Target Audience: Researchers interested in statistical techniques for analysis of biological big data.
Wednesday, July 30, 2025, 8:00 AM – Friday, August 1, 2025, 2:30 PM.
For more info visit si.biostat.washington.edu. Irregular Assessment Times in Randomized Controlled Trials
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
The purpose of this short course is to provide an overview of the analysis of longitudinal data in randomized controlled trials when outcomes are subject to irregular assessment times. Irregular assessment times are common when working with longitudinally collected outcomes; they may occur when patients do not return at precisely the protocol specified times due to schedule conflicts or sickness, or when patients visit their care provider between scheduled visits due to medical need. Just as missing data can lead to biased inferences about treatment effectiveness or prognosis over time, so too can irregular assessment times.
We will review the key steps in handling irregular assessment times. This begins with quantifying the extent of irregularity, then documenting the hypothesized relationships between outcomes, covariates, and…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Special Events. Workshops. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Wednesday, July 30, 2025, 8:30 AM – Thursday, July 31, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu. Propensity Scores
This two-day online course is part of the 2025 Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER). Course meets 8:30 a.m. - 12 p.m. PDT each day.
The propensity score is a key component of many causal inference procedures. After establishing the basic causal inference framework, we will outline the key methods of construction of propensity score functions, and study their core mathematical properties. We will detail the use of the propensity score in matching, inverse weighting and regression adjustments that allow the unconfounded effect of an exposure or treatment of interest to be estimated consistently.
Using the framework of semiparametric inference, we will contrast the statistical properties of estimators derived using each method. We will investigate issues of model selection for the propensity score, and demonstrate the utility of judicious choice of predictors that enter into the propensity function. This will be illustrated in standard problems and also in the case of…
Event interval: Ongoing event. Campus room: Online. Accessibility Contact: Deb Nelson, nelsod6@uw.edu, 206-685-9323. Event Types: Conferences. Workshops. Special Events. Target Audience: Researchers interested in methods for clinical research and epidemiology.
Wednesday, July 30, 2025, 8:30 AM – Thursday, July 31, 2025, 12:00 PM.
For more info visit si.biostat.washington.edu.