Search Results - "Rotnitzky, A."

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  1. 1

    Estimation of the effect of interventions that modify the received treatment by Haneuse, S., Rotnitzky, A.

    Published in Statistics in medicine (30-12-2013)
    “…Motivated by a study of surgical operating time and post‐operative outcomes for lung cancer, we consider the estimation of causal effects of continuous…”
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  2. 2

    Characterization of parameters with a mixed bias property by Rotnitzky, A, Smucler, E, Robins, J M

    Published in Biometrika (01-03-2021)
    “…Summary We study a class of parameters with the so-called mixed bias property. For parameters with this property, the bias of the semiparametric efficient…”
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  3. 3

    Efficient adjustment sets in causal graphical models with hidden variables by Smucler, E, Sapienza, F, Rotnitzky, A

    Published in Biometrika (01-03-2022)
    “…Summary We study the selection of adjustment sets for estimating the interventional mean under a point exposure dynamic treatment regime, that is, a treatment…”
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  4. 4

    Multiple robustness in factorized likelihood models by MOLINA, J., ROTNITZKY, A., SUED, M., ROBINS, J. M.

    Published in Biometrika (01-09-2017)
    “…We consider inference under a nonparametric or semiparametric model with likelihood that factorizes as the product of two or more variation-independent…”
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  5. 5

    On doubly robust estimation in a semiparametric odds ratio model by Tchetgen Tchetgen, Eric J., Robins, James M., Rotnitzky, Andrea

    Published in Biometrika (01-03-2010)
    “…We consider the doubly robust estimation of the parameters in a semiparametric conditional odds ratio model. Our estimators are consistent and asymptotically…”
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    Invited Commentary: Effect Modification by Time-varying Covariates by Robins, James M., Hernán, Miguel A., Rotnitzky, Andrea

    Published in American journal of epidemiology (01-11-2007)
    “…Marginal structural models (MSMs) allow estimation of effect modification by baseline covariates, but they are less useful for estimating effect modification…”
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  8. 8

    On protected estimation of an odds ratio model with missing binary exposure and confounders by TCHETGEN, E. J. TCHETGEN, ROTNITZKY, A.

    Published in Biometrika (01-09-2011)
    “…We describe an estimator of the parameter indexing a model for the conditional odds ratio between a binary exposure and a binary outcome given a…”
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  9. 9

    Can physical activity minimize weight gain in women after smoking cessation? by Kawachi, I, Troisi, R J, Rotnitzky, A G, Coakley, E H, Colditz, G A

    Published in American journal of public health (1971) (01-07-1996)
    “…The purpose of this study was to examine prospectively whether exercise can modify weight gain after smoking cessation in women. Data were analyzed from a…”
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  10. 10

    Lead and hypertension in a sample of middle-aged women by Korrick, S A, Hunter, D J, Rotnitzky, A, Hu, H, Speizer, F E

    Published in American journal of public health (1971) (01-03-1999)
    “…The role of lead exposure as a risk factor for hypertension is less well defined among women than among men. This case-control study assessed the relation of…”
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  11. 11

    K x-ray fluorescence measurements of bone lead concentration: the analysis of low-level data by Kim, R, Aro, A, Rotnitzky, A, Amarasiriwardena, C, Hu, H

    Published in Physics in medicine & biology (01-09-1995)
    “…K line x-ray fluorescence (KXRF) measurements of bone lead have emerged as a promising new biological marker of internal lead dose in epidemiological studies…”
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  12. 12

    Determinants of bone and blood lead levels among community-exposed middle-aged to elderly men : The normative aging study by HU, H, PAYTON, M, KORRICK, S, ARO, A, SPARROW, D, WEISS, S. T, ROTNITZKY, A

    Published in American journal of epidemiology (15-10-1996)
    “…Levels of lead in bone serve as a dosimeter for cumulative exposure to lead; moreover, lead in bone may serve as an internal source of circulating lead many…”
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  13. 13

    A Note on the Bias of Estimators with Missing Data by Rotnitzky, Andrea, Wypij, David

    Published in Biometrics (01-12-1994)
    “…It is well known that many standard analyses, including maximum likelihood estimation and the generalized estimating equation approach (Liang and Zeger, 1986,…”
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  14. 14

    A Longitudinal Study of Chronic Lead Exposure and Physical Growth in Boston Children by Kim, Rokho, Hu, Howard, Rotnitzky, Andrea, Bellinger, David, Needleman, Herbert

    Published in Environmental health perspectives (01-10-1995)
    “…We investigated the cross-sectional and longitudinal relationships between chronic exposure to lead and physical growth among a cohort of children reassessed…”
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  15. 15

    Bone Lead Measured by X-Ray Fluorescence: Epidemiologic Methods by Hu, Howard, Aro, Antonio, Rotnitzky, Andrea

    Published in Environmental health perspectives (01-02-1995)
    “…In vivo X-ray fluorescence (XRF) measurement of bone lead concentration (XRF) has emerged as an important technique for future epidemiological studies of…”
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  16. 16

    Examination of fungi in domestic interiors by using factor analysis: correlations and associations with home factors by JENNY SU, H, ROTNITZKY, A, BURGE, H. A, SPENGLER, J. D

    Published in Applied and Environmental Microbiology (01-01-1992)
    “…Classifications Services AEM Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit…”
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  17. 17

    Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models by Robins, James, Rotnitzky, Andrea

    Published in Biometrika (01-12-2004)
    “…We consider estimation of the received treatment effect on a dichotomous outcome in randomised trials with non-compliance. We explore inference about the…”
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  18. 18

    Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse by Vansteelandt, Stijn, Rotnitzky, Andrea, Robins, James

    Published in Biometrika (01-12-2007)
    “…We propose a new class of models for making inference about the mean of a vector of repeated outcomes when the outcome vector is incompletely observed in some…”
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    A note on overadjustment in inverse probability weighted estimation by ROTNITZKY, ANDREA, LI, LINGLING, LI, XIAOCHUN

    Published in Biometrika (01-12-2010)
    “…Standardized means, commonly used in observational studies in epidemiology to adjust for potential confounders, are equal to inverse probability weighted means…”
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