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Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome

期刊: STATISTICS IN MEDICINE, 2023; 42 (3)

The shared random effects joint model is one of the most widely used approaches to study the associations between longitudinal biomarkers and a surviv......

Simulated annealing for balancing covariates

期刊: STATISTICS IN MEDICINE, 2023; 42 (9)

Covariate balance is one of the fundamental issues in designing experiments for treatment comparisons, especially in randomized clinical trials. In th......

Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline

期刊: STATISTICS IN MEDICINE, 2023; 42 (16)

The National Alzheimer's Coordinating Center Uniform Data Set includes test results from a battery of cognitive exams. Motivated by the need to model ......

Covariate adjustment in randomized clinical trials with missing covariate and outcome data

期刊: STATISTICS IN MEDICINE, 2023; 42 (22)

When analyzing data from randomized clinical trials, covariate adjustment can be used to account for chance imbalance in baseline covariates and to in......

Unified semicompeting risks analysis of hepatitis natural history through mediation modeling

期刊: STATISTICS IN MEDICINE, 2023; 42 (24)

Natural history of hepatitis B or C is comprised of multiple milestones such as liver cirrhosis and liver cancer. To fully characterize its natural co......

Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes

期刊: STATISTICS IN MEDICINE, 2023; 42 (27)

Cluster randomized trials (CRTs) refer to a popular class of experiments in which randomization is carried out at the group level. While methods have ......

Joint modeling the frequency and duration of accelerometer-measured physical activity from a lifestyle intervention trial

期刊: STATISTICS IN MEDICINE, 2023; 42 (28)

Physical activity (PA) guidelines recommend that PA be accumulated in bouts of 10 minutes or more in duration. Recently, researchers have sought to be......

Finite sample corrections for average equivalence testing

期刊: STATISTICS IN MEDICINE, 2023; ()

Average (bio)equivalence tests are used to assess if a parameter, like the mean difference in treatment response between two conditions for example, l......

Feature-specific inference for penalized regression using local false discovery rates

期刊: STATISTICS IN MEDICINE, 2023; 42 (9)

Penalized regression methods such as the lasso are a popular approach to analyzing high-dimensional data. One attractive property of the lasso is that......

Non-homogeneous continuous-time Markov chain with covariates: Applications to ambulatory hypertension monitoring

期刊: STATISTICS IN MEDICINE, 2023; ()

Hypertension significantly increases the risk for many health conditions including heart disease and stroke. Hypertensive patients often have continuo......

Multivariate single index modeling of longitudinal data with multiple responses

期刊: STATISTICS IN MEDICINE, 2023; 42 (17)

In medical studies, composite indices and/or scores are routinely used for predicting medical conditions of patients. These indices are usually develo......

Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances

期刊: STATISTICS IN MEDICINE, 2023; 42 (19)

An important consideration in the design and analysis of randomized trials is the need to account for outcome observations being positively correlated......

Inference on tree-structured subgroups with subgroup size and subgroup effect relationship in clinical trials

期刊: STATISTICS IN MEDICINE, 2023; 42 (27)

When multiple candidate subgroups are considered in clinical trials, we often need to make statistical inference on the subgroups simultaneously. Clas......

BEATS: Bayesian hybrid design with flexible sample size adaptation for time-to-event endpoints

期刊: STATISTICS IN MEDICINE, 2023; 42 (30)

As the roles of historical trials and real-world evidence in drug development have substantially increased, several approaches have been proposed to l......

A systematic review and evaluation of statistical methods for group variable selection

期刊: STATISTICS IN MEDICINE, 2023; 42 (3)

This review condenses the knowledge on variable selection methods implemented in R and appropriate for datasets with grouped features. The focus is on......

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