Literature DB >> 9209864

The importance of critically interpreting simulation studies.

G Maldonado1, S Greenland.   

Abstract

Mesh：

Year:  1997        PMID： 9209864

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


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  11 in total

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2.  Methods to account for attrition in longitudinal data: do they work? A simulation study.

Authors:  Vicki L Kristman; Michael Manno; Pierre Côté
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

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4.  Pharmacoepidemiology and "in silico" drug evaluation: is there common ground?

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5.  The impact of unmeasured baseline effect modification on estimates from an inverse probability of treatment weighted logistic model.

Authors:  Joseph A C Delaney; Robert W Platt; Samy Suissa
Journal:  Eur J Epidemiol       Date:  2009-05-06       Impact factor: 8.082

6.  Correcting for Measurement Error in Time-Varying Covariates in Marginal Structural Models.

Authors:  Ryan P Kyle; Erica E M Moodie; Marina B Klein; Michał Abrahamowicz
Journal:  Am J Epidemiol       Date:  2016-07-13       Impact factor: 4.897

7.  A comparison of methods to estimate the hazard ratio under conditions of time-varying confounding and nonpositivity.

Authors:  Ashley I Naimi; Stephen R Cole; Daniel J Westreich; David B Richardson
Journal:  Epidemiology       Date:  2011-09       Impact factor: 4.822

8.  A comparison of ad hoc methods to account for non-cancer AIDS and deaths as competing risks when estimating the effect of HAART on incident cancer AIDS among HIV-infected men.

Authors:  Meredith S Shiels; Stephen R Cole; Joan S Chmiel; Joseph Margolick; Jeremy Martinson; Zuo-Feng Zhang; Lisa P Jacobson
Journal:  J Clin Epidemiol       Date:  2009-10-31       Impact factor: 6.437

9.  Causal inference methods to assess safety upper bounds in randomized trials with noncompliance.

Authors:  Yiting Wang; Jesse A Berlin; José Pinheiro; Marsha A Wilcox
Journal:  Clin Trials       Date:  2015-03-01       Impact factor: 2.486

10.  Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study.

Authors:  Kristin Gustavson; Tilmann von Soest; Evalill Karevold; Espen Røysamb
Journal:  BMC Public Health       Date:  2012-10-29       Impact factor: 3.295
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