The simplest approach to dealing with missing data is to restrict the analysis to complete
cases, ie individuals with no missing values. This can induce bias, however. Inverse …

This paper addresses strategies for selecting variables for adjustment in non‐experimental
comparative effectiveness research and uses causal graphs to illustrate the causal network …

Objective Examining covariate balance is the prescribed method for determining the degree
to which propensity score methods should be successful at reducing bias. This study …

Background Nonexperimental studies are increasingly used to investigate the safety and
effectiveness of medical products as they are used in routine care. One of the primary …

This study examines whether auditor industry specialization, measured using the auditor's
within‐industry market share, improves audit quality and results in a fee premium. After …

Background Research suggests that suicidal behavior in individuals with anxiety disorders
is attributable to cooccurring risk factors, such as depression. We argue that these …

Objectives: The purpose of this study was to examine use and describe outcomes of radial
access for percutaneous coronary intervention (PCI) in patients with ST-segment elevation …

Objectives. To determine the effect of glucocorticoids (GCs) on acute myocardial infarction
(MI) risk in patients with RA. Methods. Using administrative health data, we conducted a …

This study assessed the association between second-generation antipsychotic medications
and risk of pneumonia requiring hospitalization in patients with schizophrenia because the …

Confounding present in observational data impede community psychologists' ability to draw
causal inferences. This paper describes propensity score methods as a conceptually …