Logistic regression model for at-risk opioid use during 3-month follow-up after ed visit for trauma.</p
Background: Inappropriate use of prescription opioids is a growing public-health issue. We sought to...
<p>Logistic regression predicting the use of sodium valproate by gender, ward, diagnosis and number ...
<p>*Odds Ratio (OR) adjusted for baseline variables of homelessness, injection drug use, HIV, soft t...
Logistic regression models predicting opioid prescription medication use: Effects of childhood abuse...
Difference-in-differences analyses of other treatments for opioid use disorder (OUD) 30 days after d...
Objective: Whether short-term, low-potency opioid prescriptions for acute pain lead to future at-ris...
Objective: To identify risk and protective factors for return to opioid use post inpatient detoxific...
Logistic regression analysis examining the relationship between baseline characteristics and taking ...
<p>The applied model of multivariable logistic regression analysis of risk for 30-day MACE in patien...
Background and Objectives: Whether ED opioid prescriptions (Rx) lead to future problematic opioid us...
Predictors associated with chronic-use (prevalent or incident) vs. discontinuing-use or non-use of s...
Background: Prior opioid use has been shown to be associated with adverse outcomes in surgical and t...
OBJECTIVE: Whether short-term, low-potency opioid prescriptions for acute pain lead to future at-ris...
<p>Logistic regression analysis results of 30-day unplanned emergency readmission for early-stage ca...
<p>Logistic regression models of a) factors associated with having ever raped, and b) factors associ...
Background: Inappropriate use of prescription opioids is a growing public-health issue. We sought to...
<p>Logistic regression predicting the use of sodium valproate by gender, ward, diagnosis and number ...
<p>*Odds Ratio (OR) adjusted for baseline variables of homelessness, injection drug use, HIV, soft t...
Logistic regression models predicting opioid prescription medication use: Effects of childhood abuse...
Difference-in-differences analyses of other treatments for opioid use disorder (OUD) 30 days after d...
Objective: Whether short-term, low-potency opioid prescriptions for acute pain lead to future at-ris...
Objective: To identify risk and protective factors for return to opioid use post inpatient detoxific...
Logistic regression analysis examining the relationship between baseline characteristics and taking ...
<p>The applied model of multivariable logistic regression analysis of risk for 30-day MACE in patien...
Background and Objectives: Whether ED opioid prescriptions (Rx) lead to future problematic opioid us...
Predictors associated with chronic-use (prevalent or incident) vs. discontinuing-use or non-use of s...
Background: Prior opioid use has been shown to be associated with adverse outcomes in surgical and t...
OBJECTIVE: Whether short-term, low-potency opioid prescriptions for acute pain lead to future at-ris...
<p>Logistic regression analysis results of 30-day unplanned emergency readmission for early-stage ca...
<p>Logistic regression models of a) factors associated with having ever raped, and b) factors associ...
Background: Inappropriate use of prescription opioids is a growing public-health issue. We sought to...
<p>Logistic regression predicting the use of sodium valproate by gender, ward, diagnosis and number ...
<p>*Odds Ratio (OR) adjusted for baseline variables of homelessness, injection drug use, HIV, soft t...