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20112026
most citedModel-robust regression and a Bayesian ``sandwich'' estimator

42 citations · 51 across the 12 of their papers we have counts for

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11 papers · 1 filter

stat.ME20262 cited

Normalised Local Hazard Plots

Nils Lid Hjort, Thomas Lumley

The purpose of this paper is to develop and illustrate certain classes of graphical plots that can be used for model verification in quite general survival data and life history da…

stat.ME2023

Linear mixed models for complex survey data: implementing and evaluating pairwise likelihood

Thomas Lumley, Xudong Huang

As complex-survey data becomes more widely used in health and social-science research, there is increasing interest in fitting a wider range of regression models. We describe an im…

stat.ME2022

Practical considerations for sandwich variance estimation in two-stage regression settings

Lillian A. Boe, Thomas Lumley, Pamela A. Shaw

We present a practical approach for computing the sandwich variance estimator in two-stage regression model settings. As a motivating example for two-stage regression, we consider…

stat.ME2022

Three-phase generalized raking and multiple imputation estimators to address error-prone data

Gustavo Amorim, Ran Tao, Sarah Lotspeich +4

Validation studies are often used to obtain more reliable information in settings with error-prone data. Validated data on a subsample of subjects can be used together with error-p…

stat.ME2022

Choosing good subsamples for regression modelling

Thomas Lumley, Tong Chen

A common problem in health research is that we have a large database with many variables measured on a large number of individuals. We are interested in measuring additional variab…

stat.ME2021

Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall

Jasper B. Yang, Bryan E. Shepherd, Thomas Lumley +1

The R package optimall offers a collection of functions that efficiently streamline the design process of sampling in surveys ranging from simple to complex. The package's main fun…