Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network
Abstract Purpose of Review An important component of the Food and Drug Administration's
Sentinel Initiative is the active post-market risk identification and analysis (ARIA) system …
Sentinel Initiative is the active post-market risk identification and analysis (ARIA) system …
Practical recommendations on double score matching for estimating causal effects
Unlike in randomized clinical trials (RCTs), confounding control is critical for estimating the
causal effects from observational studies due to the lack of treatment randomization. Under …
causal effects from observational studies due to the lack of treatment randomization. Under …
On the relevance of prognostic information for clinical trials: a theoretical quantification
The question of how individual patient data from cohort studies or historical clinical trials can
be leveraged for designing more powerful, or smaller yet equally powerful, clinical trials …
be leveraged for designing more powerful, or smaller yet equally powerful, clinical trials …
Marginal structural models for risk or prevalence ratios for a point exposure using a disease risk score
The disease risk score is a summary score that can be used to control for confounding with a
potentially large set of covariates. While less widely used than the exposure propensity …
potentially large set of covariates. While less widely used than the exposure propensity …
Overachieving municipalities in public health: a machine-learning approach
ADP Chiavegatto Filho, HG Dos Santos… - …, 2018 - journals.lww.com
Background: Identifying successful public health ideas and practices is a difficult challenge
towing to the presence of complex baseline characteristics that can affect health outcomes …
towing to the presence of complex baseline characteristics that can affect health outcomes …
[HTML][HTML] A likely responder approach for the analysis of randomized controlled trials
Objective To further the precision medicine goal of tailoring medical treatment to individual
patient characteristics by providing a method of analysis of the effect of test treatment, T …
patient characteristics by providing a method of analysis of the effect of test treatment, T …
Dronedarone, amiodarone and other antiarrhythmic drugs, and acute liver injuries: a case-referent study
L Grimaldi-Bensouda, H Wedemeyer, J Wiegand… - International Journal of …, 2018 - Elsevier
Background Spontaneous reports of acute liver injuries (ALI) in patients taking dronedarone
triggered an EMA alert in 2011. This study aimed to assess the risk of ALI for class III …
triggered an EMA alert in 2011. This study aimed to assess the risk of ALI for class III …
Use of propensity score and disease risk score for multiple treatments with time-to-event outcome: a simulation study
D Zhang, J Kim - Journal of Biopharmaceutical Statistics, 2019 - Taylor & Francis
Propensity score (PS) and disease risk score (DRS) are often used in
pharmacoepidemiologic safety studies. Methods of applying these two balancing scores are …
pharmacoepidemiologic safety studies. Methods of applying these two balancing scores are …
Reducing bias due to exposure measurement error using disease risk scores
Suppose that an investigator wants to estimate an association between a continuous
exposure variable and an outcome, adjusting for a set of confounders. If the exposure …
exposure variable and an outcome, adjusting for a set of confounders. If the exposure …
[图书][B] Doubly Robust Estimators of Causal Effects in Observational Studies: Theory and Practice
Y Zhang - 2023 - search.proquest.com
Understanding causality has been a fundamental challenge throughout human history. In
observational studies, the assignment of treatments is not random but rather determined by …
observational studies, the assignment of treatments is not random but rather determined by …