Instrumental variable regressions comparing IV and oral acetaminophen patients*.</p
PURPOSE: Instrumental variable (IV) analysis can control for unmeasured confounding, yet it has not ...
Multivariate regression of clinical variables predicting the need for medicines after GATT or MIT.</...
Characteristics of the patients in the present study compared to both models used.</p
Multivariable logistic regression comparing IV and oral acetaminophen patients*.</p
OBJECTIVE: Instrumental variable (IV) analysis may offer a useful approach to the problem of unmeasu...
<p>Comparison of overdose of sedative, hypnotics, and antipsychotics between nurses and general popu...
Comparison of demographic and clinical characteristics between IV and IV + PO groups.</p
Univariate and multivariate regression analyses examining clinical variables associated with PRTEE a...
<p>Multivariate linear regression of patient parameters that were found to be statistically signific...
<p>Results from a regression model of drug treatment and knowledge of HCV status on sterile syringe ...
Background: Unobserved confounding may impair the validity of observational research. Instrumental v...
<p>Beta: standardized regression coefficient, which reflects the relative weight of each variable in...
<p>Variable correlation results for patient P1 between various input variables and output.</p
Comparing baseline characteristics of study participants by antiretroviral therapy status.</p
Patient characteristics and predictors for vmICH in univariate and multivariate analysis.</p
PURPOSE: Instrumental variable (IV) analysis can control for unmeasured confounding, yet it has not ...
Multivariate regression of clinical variables predicting the need for medicines after GATT or MIT.</...
Characteristics of the patients in the present study compared to both models used.</p
Multivariable logistic regression comparing IV and oral acetaminophen patients*.</p
OBJECTIVE: Instrumental variable (IV) analysis may offer a useful approach to the problem of unmeasu...
<p>Comparison of overdose of sedative, hypnotics, and antipsychotics between nurses and general popu...
Comparison of demographic and clinical characteristics between IV and IV + PO groups.</p
Univariate and multivariate regression analyses examining clinical variables associated with PRTEE a...
<p>Multivariate linear regression of patient parameters that were found to be statistically signific...
<p>Results from a regression model of drug treatment and knowledge of HCV status on sterile syringe ...
Background: Unobserved confounding may impair the validity of observational research. Instrumental v...
<p>Beta: standardized regression coefficient, which reflects the relative weight of each variable in...
<p>Variable correlation results for patient P1 between various input variables and output.</p
Comparing baseline characteristics of study participants by antiretroviral therapy status.</p
Patient characteristics and predictors for vmICH in univariate and multivariate analysis.</p
PURPOSE: Instrumental variable (IV) analysis can control for unmeasured confounding, yet it has not ...
Multivariate regression of clinical variables predicting the need for medicines after GATT or MIT.</...
Characteristics of the patients in the present study compared to both models used.</p
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