42 citations · 51 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
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…
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…