Postacute sequelae of SARS-CoV-2 infection in the pre-delta, delta, and omicron eras
Background Postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) infection (PASC) can affect many organ systems. However, temporal changes during …
CoV-2) infection (PASC) can affect many organ systems. However, temporal changes during …
High-dimensional characterization of post-acute sequelae of COVID-19
The acute clinical manifestations of COVID-19 have been well characterized,, but the post-
acute sequelae of this disease have not been comprehensively described. Here we use the …
acute sequelae of this disease have not been comprehensively described. Here we use the …
Core concepts in pharmacoepidemiology: Violations of the positivity assumption in the causal analysis of observational data: Consequences and statistical …
In the causal analysis of observational data, the positivity assumption requires that all
treatments of interest be observed in every patient subgroup. Violations of this assumption …
treatments of interest be observed in every patient subgroup. Violations of this assumption …
Comparative effectiveness of SGLT2 inhibitors, GLP-1 receptor agonists, DPP-4 inhibitors, and sulfonylureas on risk of major adverse cardiovascular events …
Background Randomised clinical trials showed that compared with placebo, SGLT2
inhibitors and GLP-1 receptor agonists reduced risk of adverse cardiovascular events. The …
inhibitors and GLP-1 receptor agonists reduced risk of adverse cardiovascular events. The …
Contamination bias in linear regressions
We study regressions with multiple treatments and a set of controls that is flexible enough to
purge omitted variable bias. We show these regressions generally fail to estimate convex …
purge omitted variable bias. We show these regressions generally fail to estimate convex …
Methods for population adjustment with limited access to individual patient data: a review and simulation study
Population‐adjusted indirect comparisons estimate treatment effects when access to
individual patient data is limited and there are cross‐trial differences in effect modifiers …
individual patient data is limited and there are cross‐trial differences in effect modifiers …
Eliminating ambiguous treatment effects using estimands
Most reported treatment effects in medical research studies are ambiguously defined, which
can lead to misinterpretation of study results. This is because most authors do not attempt to …
can lead to misinterpretation of study results. This is because most authors do not attempt to …
Propensity score weighting under limited overlap and model misspecification
Propensity score weighting methods are often used in non-randomized studies to adjust for
confounding and assess treatment effects. The most popular among them, the inverse …
confounding and assess treatment effects. The most popular among them, the inverse …
Survival outcomes of management in metastatic gastric adenocarcinoma patients
HM Hu, HJ Tsai, HY Ku, SS Lo, YS Shan, HC Chang… - Scientific reports, 2021 - nature.com
Chemotherapy is generally considered as the main treatment for metastatic gastric
adenocarcinoma. The role of gastrectomy for metastatic gastric cancer without obvious …
adenocarcinoma. The role of gastrectomy for metastatic gastric cancer without obvious …
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes
PC Austin - Statistics in medicine, 2022 - Wiley Online Library
We used Monte Carlo simulations to compare the performance of asymptotic variance
estimators to that of the bootstrap when estimating standard errors of differences in means …
estimators to that of the bootstrap when estimating standard errors of differences in means …