Specifying the correlation structure in inverse-probability-weighting estimation for repeated measures

Epidemiology

Volumn 23, Issue 4, 2012, Pages 644-646

  Tchetgen, Eric J Tchetgen ^a   Glymour, M Maria ^a   Weuve, Jennifer ^b   Robins, James ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b RUSH UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL PARAMETERS; BOOTSTRAPPING; COGNITIVE DEFECT; CORRELATION ANALYSIS; DISEASE ASSOCIATION; EPIDEMIOLOGICAL DATA; HUMAN; INVERSE PROBABILITY; LETTER; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROBABILITY; REGRESSION ANALYSIS; SMOKING;

BIAS (EPIDEMIOLOGY); CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); HUMANS; MODELS, STATISTICAL; PATIENT DROPOUTS; PROBABILITY; REGRESSION ANALYSIS;

EID: 84862133560     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0b013e31825727b5     Document Type: Letter

References (6)

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2. Robins JM, Hernán M, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000; 11:550-560.
3. Robins JM, Rotnitzky A. Semiparametric efficiency in multivariate regression models with missing data. J Am Stat Assoc. 1995;90:122-129.
4. Robins JM, Rotnitzky A, Zhao LP. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J Am Stat Assoc. 1995;90:106-121.
5. SAS Institute Inc. SAS/STAT 9.2 User's Guide. 2nd ed. Cary, NC: SAS Institute Inc.; 2009.
6. Weuve J, Tchetgen Tchetgen EJ, Glymour MM, et al. Accounting for bias due to selective attrition: the example of smoking and cognitive decline. Epidemiology. 2012;23:119-128.