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Clinical Therapeutics
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May 19, 2009
Interpreting treatment-effect estimates with heterogeneity and choice: simulation model results
John M Brooks, Gang Fang
Medical Care
|
October 25, 2007
Heterogeneity and the interpretation of treatment effect estimates from risk adjustment and instrumental variable methods
John M Brooks, Elizabeth A Chrischilles
Health Services Research
|
February 20, 2016
Treatment Effect Estimation Using Nonlinear Two-Stage Instrumental Variable Estimators: Another Cautionary Note
Cole G Chapman, John M Brooks
Health Services Research
|
December 11, 2012
Squeezing the balloon: propensity scores and unmeasured covariate balance
John M Brooks, Robert L Ohsfeldt
Applied Health Economics and Health Policy
|
July 6, 2012
Estimating incremental costs with skew: a cautionary note
Linnea A Polgreen, John M Brooks
American Journal of Epidemiology
|
April 19, 2012
Comparison of instrumental variable analysis using a new instrument with risk adjustment methods to reduce confounding by indication
Gang Fang, John M Brooks, Elizabeth A Chrischilles
The American Journal of Managed Care
|
September 10, 2008
Metastatic non-small cell lung cancer: costs associated with disease progression
Kathleen M Fox, John M Brooks, Jennifer Kim
Medical Care
|
July 9, 2010
A new method to isolate local-area practice styles in prescription use as the basis for instrumental variables in comparative effectiveness research
Gang Fang, John M Brooks, Elizabeth A Chrischilles
American Journal of Epidemiology
|
November 17, 2011
Apples and oranges? Interpretations of risk adjustment and instrumental variable estimates of intended treatment effects using observational data
Gang Fang, John M Brooks, Elizabeth A Chrischilles
Medical Care
|
August 23, 2016
The Identification Process Using Choice Theory Is Needed to Match Design With Objectives in CER
John M Brooks, Cole G Chapman, Melanie J Cozad
Page
of 9
Search research articles
Search
Showing results (1-10 of 84) with videos related to
Sort By:
Page
of 9
Clinical Therapeutics
|
May 19, 2009
Interpreting treatment-effect estimates with heterogeneity and choice: simulation model results
John M Brooks, Gang Fang
Medical Care
|
October 25, 2007
Heterogeneity and the interpretation of treatment effect estimates from risk adjustment and instrumental variable methods
John M Brooks, Elizabeth A Chrischilles
Health Services Research
|
February 20, 2016
Treatment Effect Estimation Using Nonlinear Two-Stage Instrumental Variable Estimators: Another Cautionary Note
Cole G Chapman, John M Brooks
Health Services Research
|
December 11, 2012
Squeezing the balloon: propensity scores and unmeasured covariate balance
John M Brooks, Robert L Ohsfeldt
Applied Health Economics and Health Policy
|
July 6, 2012
Estimating incremental costs with skew: a cautionary note
Linnea A Polgreen, John M Brooks
American Journal of Epidemiology
|
April 19, 2012
Comparison of instrumental variable analysis using a new instrument with risk adjustment methods to reduce confounding by indication
Gang Fang, John M Brooks, Elizabeth A Chrischilles
The American Journal of Managed Care
|
September 10, 2008
Metastatic non-small cell lung cancer: costs associated with disease progression
Kathleen M Fox, John M Brooks, Jennifer Kim
Medical Care
|
July 9, 2010
A new method to isolate local-area practice styles in prescription use as the basis for instrumental variables in comparative effectiveness research
Gang Fang, John M Brooks, Elizabeth A Chrischilles
American Journal of Epidemiology
|
November 17, 2011
Apples and oranges? Interpretations of risk adjustment and instrumental variable estimates of intended treatment effects using observational data
Gang Fang, John M Brooks, Elizabeth A Chrischilles
Medical Care
|
August 23, 2016
The Identification Process Using Choice Theory Is Needed to Match Design With Objectives in CER
John M Brooks, Cole G Chapman, Melanie J Cozad
Page
of 9