NSTL国家科技图书文献中心

1. Joint Latent Class Models: A Tutorial on Practical Applications in Clinical Research NSTL国家科技图书文献中心

Kyheng, Maeva | Babykina, Genia ... - 《Statistics in medicine.》 - 2025,44(8/9) - e70047～e70047 - 共19页

摘要：Joint latent class model is a statistical | approach allowing to simultaneously account for two | outcomes related to disease progression: A longitudinal | measure (for example a biomarker) and time-to-event, in | the context of a heterogeneous population. Within

关键词： amyotrophic lateral sclerosis | joint model | latent classes | linear mixed model | survival analysis | tutorial

2. A Comparison Between Markov Switching Zero‐Inflated and Hurdle Models for Spatio‐Temporal Infectious Disease Counts NSTL国家科技图书文献中心

Mingchi Xu | Dirk Douwes‐Schultz ... - 《Statistics in medicine.》 - 2025,44(13/14) - e70135～e70135 - 共13页

摘要：ABSTRACT In epidemiological studies, zero | ‐inflated and hurdle models are commonly used to handle | excess zeros in reported infectious disease cases | . However, they cannot model the persistence (transition | from presence to presence) and reemergence

关键词： Bayesian inference | chikungunya | endemic‐epidemic model | under‐reporting

3. False Discovery Rate Control for Confounder Selection Using Mirror Statistics NSTL国家科技图书文献中心

Kazuharu Harada | Masataka Taguri - 《Statistics in medicine.》 - 2025,44(13/14) - e70116～e70116 - 共15页

摘要：ABSTRACT While data‐driven confounder | selection requires careful consideration, it is frequently | employed in observational studies. Widely recognized | criteria for confounder selection include the minimal‐set | approach, which involves selecting variables relevant to

关键词： causal inference | confounder selection | false discovery rate | high‐dimensional data | mirror statistics

Garrett, Rose H. | Patel, Masum ... - 《Statistics in medicine.》 - 2025,44(10/12) - e70094～e70094 - 共13页

摘要：Electronic health records (EHRs) provide an | efficient approach to generating rich longitudinal | datasets. However, since patients visit as needed, the | assessment times are typically irregular and may be related | to the patient's health. Failing to account for

关键词： electronic health records | generalized estimating equation | informative visit process | inverse intensity weighting | longitudinal data | sensitivity analysis

5. An Augmented Approach for Regression Analysis of Case-Cohort Interval-Censored Failure Time Data NSTL国家科技图书文献中心

Lou, Yichen | Du, Mingyue ... - 《Statistics in medicine.》 - 2025,44(10/12) - e70115～e70115 - 共11页

摘要：The case-cohort design is a valuable two-phase | sampling scheme often used in situations with low disease | incidence and challenges in obtaining covariate data due | to cost constraints, and many methods have been | proposed for its analysis. However, most of the existing

关键词： case‐cohort design | interval‐censoring | multiple imputation | semi‐parametric transformation model | two‐phase sampling | case-cohort design | interval-censoring | semi-parametric transformation model | two-phase sampling

6. A Bayesian Approach to the G‐Formula via Iterative Conditional Regression NSTL国家科技图书文献中心

Ruyi Liu | Liangyuan Hu ... - 《Statistics in medicine.》 - 2025,44(13/14) - e70123～e70123 - 共22页

摘要：ABSTRACT In longitudinal observational studies | with time‐varying confounders, the generalized | computation algorithm formula (g‐formula) is a principled | tool to estimate the average causal effect of a | treatment regimen. However, the standard non‐iterative g

关键词： Bayesian additive regression trees | causal inference | g‐formula | longitudinal propensity score | observational studies | time‐varying confounding

7. A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases NSTL国家科技图书文献中心

Jessica Pavani | Fernando Andrés Quin... - 《Statistics in medicine.》 - 2025,44(3/4) - e10325～e10325 - 共14页

摘要：ABSTRACT More than half of the world's | population is exposed to mosquito‐borne diseases, leading | to millions of cases and hundreds of thousands of | deaths every year. Analyzing this type of data is | complex and poses several interesting challenges, mainly

关键词： chikungunya | clustering | dengue | product partition model | spatio‐temporal model

8. Identification and Estimation of Causal Effects Using Non-Concurrent Controls in Platform Trials NSTL国家科技图书文献中心

Santacatterina, Mich... | Giron, Federico Macc...... - 《Statistics in medicine.》 - 2025,44(6) - e70017～e70017 - 共15页

摘要：Platform trials are multi-arm designs that | simultaneously evaluate multiple treatments for a single | disease within the same overall trial structure. Unlike | traditional randomized controlled trials, they allow | treatment arms to enter and exit the trial at distinct

关键词： adaptive trials | causality | doubly robust | efficiency | estimand

9. Integrating Complex Selection Rules Into the Latent Overlapping Group Lasso for the Construction of Coherent Prediction Models NSTL国家科技图书文献中心

Wang, Guanbo | Perreault, Sylvie ... - 《Statistics in medicine.》 - 2025,44(10/12) - e70121～e70121 - 共12页

摘要：Prediction models are important in medical | research, as such models enable health researchers to | gain deeper insights into disease epidemiology and | clinicians to identify patients at higher risk of adverse | outcomes. One commonly employed approach to developing

关键词： coherent prediction models | grouping structure | interpretability | selection rules | structured sparsity pattern | the latent overlapping group lasso

10. Analysis of Covariance in General Factorial Designs Through Multiple Contrast Tests Under Variance Heteroscedasticity NSTL国家科技图书文献中心

Becher, Matthias | Hothorn, Ludwig A.... - 《Statistics in medicine.》 - 2025,44(7) - e70018～e70018 - 共16页

摘要：A common goal in clinical trials is to conduct | tests on estimated treatment effects adjusted for | covariates such as age or sex. Analysis of Covariance | (ANCOVA) is often used in these scenarios to test the | global null hypothesis of no treatment effect using an