Andrea Rotnitzky

Biographic Data

ID10706397
NAMEAndrea Rotnitzky
GIVEN NAMESAndrea
FAMILY NAMERotnitzky
SIGNATUREROTNITZKY A
AFFILIATIONSHarvard University
ORCID0009-0009-7272-6832
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS5
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1994
LATEST PUBLICATION YEAR1999
H-INDEX1

  • Lead and hypertension in a sample of middle-aged women

    Susan Korrick, S A Korrick et al.ARTICLEAmerican Journal of Public Health1999References: 25

    OBJECTIVES: 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 blood and bone lead concentrations to hypertension in women. METHODS: Cases and controls were a subsample of women from the Nurses' Health Study. Hypertension was defined as a physician diagnosis of hypertension between 1988 and 1994 or measured systolic blood pressure > or = 140…

  • Can physical activity minimize weight gain in women after smoking cessation

    Ichiro Kawachi, Rebecca Troisi et al.ARTICLEAmerican Journal of Public Health1996Cited by: 5References: 33

    OBJECTIVES. The purpose of this study was to examine prospectively whether exercise can modify weight gain after smoking cessation in women. METHODS. Data were analyzed from a 2-year follow-up period (1986-1988) in the Nurses' Health Study, an ongoing cohort of 121,700 US women aged 40 to 75 in 1986. RESULTS. The average weight gain over 2 years was 3.0 kg in the 1474 women who stopped smoking, and 0.6 kg among the 7832 women who continued smokin…

  • Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data

    James M Robins, Andrea Rotnitzky et al.ARTICLEJournal of the American…1995

    We propose a class of inverse probability of censoring weighted estimators for the parameters of models for the dependence of the mean of a vector of correlated response variables on a vector of explanatory variables in the presence of missing response data. The proposed estimators do not require full specification of the likelihood. They can be viewed as an extension of generalized estimating equations estimators that allow for the data to be mi…

  • Semiparametric Efficiency in Multivariate Regression Models with Missing Data

    James M Robins, Andrea RotnitzkyARTICLEJournal of the American…1995

    We consider the efficiency bound for the estimation of the parameters of semiparametric models defined solely by restrictions on the means of a vector of correlated outcomes, Y, when the data on Y are missing at random. We show that the semiparametric variance bound is the asymptotic variance of the optimal estimator in a class of inverse probability of censoring weighted estimators and that this bound is unchanged if the data are missing complet…

  • Estimation of Regression Coefficients When Some Regressors are not Always Observed

    James M Robins, Andrea Rotnitzky et al.ARTICLEJournal of the American…1994

    In applied problems it is common to specify a model for the conditional mean of a response given a set of regressors. A subset of the regressors may be missing for some study subjects either by design or happenstance. In this article we propose a new class of semiparametric estimators, based on inverse probability weighted estimating equations, that are consistent for parameter vector α0 of the conditional mean model when the data are missing at …