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Constantine E Frangakis

Datos Biográficos

ID5545102
NOMBREConstantine E Frangakis
NOMBRESConstantine E
APELLIDOFrangakis
FIRMAFRANGAKIS C E
VERIFICADONo
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2002
AÑO MÁS RECIENTE DE PUBLICACIÓN2007
ÍNDICE H0
  • Using Propensity Scores Subclassification to Estimate Effects of Longitudinal Treatments

    Jodi B Segal, Michael Griswold et al.•ARTICLE•Medical Care•2007•Referencias: 18

    BACKGROUND: When using observational data to compare the effectiveness of medications, it is essential to account parsimoniously for patients' longitudinal characteristics that lead to changes in treatments over time. OBJECTIVES: We developed a method of estimating effects of longitudinal treatments that uses subclassification on a longitudinal propensity score to compare outcomes between a new drug (exenatide) and established drugs (insulin and …

  • Principal Stratification in Causal Inference

    Open Access•Constantine Frangakis, Constantine E Frangakis et al.•ARTICLE•Biometrics•2002

    Many scientific problems require that treatment comparisons be adjusted for posttreatment variables, but the estimands underlying standard methods are not causal effects. To address this deficiency, we propose a general framework for comparing treatments adjusting for posttreatment variables that yields principal effects based on principal stratification. Principal stratification with respect to a posttreatment variable is a cross‐classification …

Sin obras prominentes en esta página.

  • Principal Stratification in Causal Inference

    Open Access•Constantine Frangakis, Constantine E Frangakis et al.•ARTICLE•Biometrics•2002

    Many scientific problems require that treatment comparisons be adjusted for posttreatment variables, but the estimands underlying standard methods are not causal effects. To address this deficiency, we propose a general framework for comparing treatments adjusting for posttreatment variables that yields principal effects based on principal stratification. Principal stratification with respect to a posttreatment variable is a cross‐classification …

  • Using Propensity Scores Subclassification to Estimate Effects of Longitudinal Treatments

    Jodi B Segal, Michael Griswold et al.•ARTICLE•Medical Care•2007•Referencias: 18

    BACKGROUND: When using observational data to compare the effectiveness of medications, it is essential to account parsimoniously for patients' longitudinal characteristics that lead to changes in treatments over time. OBJECTIVES: We developed a method of estimating effects of longitudinal treatments that uses subclassification on a longitudinal propensity score to compare outcomes between a new drug (exenatide) and established drugs (insulin and …

Advanced Causal Inference Techniques (2 obras) · Artificial Intelligence (1 obras) · Causal inference (1 obras) · Censoring (clinical trials) (1 obras) · Cohort study (1 obras) · Computer Science (1 obras) · Confidence interval (1 obras) · Covariate (1 obras) · Diabetes mellitus (1 obras) · Econometrics (1 obras)

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