about
P-values and decision-making: discussion of 'Limitations of empirical calibration of p-values using observational data'.The risk of congenital malformations associated with exposure to β-blockers early in pregnancy: a meta-analysis.Effects of expanding the look-back period to all available data in the assessment of covariates.Observing versus Predicting: Initial Patterns of Filling Predict Long-Term Adherence More Accurately Than High-Dimensional Modeling Techniques.Changing interactions between physician trainees and the pharmaceutical industry: a national survey.Type of stress ulcer prophylaxis and risk of nosocomial pneumonia in cardiac surgical patients: cohort study.Group-based trajectory models: a new approach to classifying and predicting long-term medication adherence.Sequential value-of-information assessment for prospective drug safety monitoring using claims databases: the comparative safety of prasugrel v. clopidogrel.Do patients trust the FDA?: a survey assessing how patients view the generic drug approval process.Comparing the performance of propensity score methods in healthcare database studies with rare outcomes.Persistent opioid use following cesarean delivery: patterns and predictors among opioid-naïve women.Distributions of industry payments to Massachusetts physicians.The relative benefits of claims and electronic health record data for predicting medication adherence trajectory.An evaluation of longitudinal changes in serum uric acid levels and associated risk of cardio-metabolic events and renal function decline in gout.Claims data studies of direct oral anticoagulants can achieve balance in important clinical parameters only observable in electronic health recordsNonrandomized Real-World Evidence to Support Regulatory Decision Making: Process for a Randomized Trial Replication ProjectEvaluating the Use of Nonrandomized Real-World Data Analyses for Regulatory Decision MakingA concept-wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives
P50
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P50
description
onderzoeker
@nl
researcher ORCID ID = 0000-0002-8941-4116
@en
name
Jessica M Franklin
@ast
Jessica M Franklin
@en
Jessica M Franklin
@es
Jessica M Franklin
@nl
type
label
Jessica M Franklin
@ast
Jessica M Franklin
@en
Jessica M Franklin
@es
Jessica M Franklin
@nl
prefLabel
Jessica M Franklin
@ast
Jessica M Franklin
@en
Jessica M Franklin
@es
Jessica M Franklin
@nl
P106
P1153
55602764900
P21
P31
P496
0000-0002-8941-4116