Estimating effects on changes in health outcomes using scores – An alternative visualization
暂无分享,去创建一个
Michael Goodman | W. Dana Flanders | M. Maria Glymour | M. Glymour | W. Flanders | M. Goodman | M. M. Glymour
[1] M. Glymour,et al. THE FIRST TWO AUTHORS REPLY , 2006 .
[2] L. Waller,et al. A Method to Detect Residual Confounding in Spatial and Other Observational Studies , 2011, Epidemiology.
[3] J. Robins,et al. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. , 2005, American journal of epidemiology.
[4] R. Peto. THE HORSE-RACING EFFECT , 1981, The Lancet.
[5] W. Flanders,et al. Summary of relationships between exchangeability, biasing paths and bias , 2015, European Journal of Epidemiology.
[6] L. Talbot,et al. Effect of Blood Pressure and Diabetes Mellitus on Cognitive and Physical Functions in Older Adults: A Longitudinal Analysis of the Advanced Cognitive Training for Independent and Vital Elderly Cohort , 2005, Journal of the American Geriatrics Society.
[7] S. Bartels,et al. The impact of waist circumference on function and physical activity in older adults: longitudinal observational data from the osteoarthritis initiative , 2014, Nutrition Journal.
[8] R A Kronmal,et al. The effects of measurement error in response variables and tests of association of explanatory variables in change models. , 1998, Statistics in medicine.
[9] S. Greenland,et al. Limitations of individual causal models, causal graphs, and ignorability assumptions, as illustrated by random confounding and design unfaithfulness , 2015, European Journal of Epidemiology.
[10] E. Shahar,et al. Causal diagrams and change variables. , 2012, Journal of evaluation in clinical practice.
[11] James M. Robins,et al. Causal diagrams for epidemiologic research. , 1999 .
[12] Mitchel Klein,et al. A Method for Detection of Residual Confounding in Time-series and Other Observational Studies , 2011, Epidemiology.
[13] Sander Greenland,et al. An overview of relations among causal modelling methods. , 2002, International journal of epidemiology.
[14] Sander Greenland,et al. Matched designs and causal diagrams. , 2013, International journal of epidemiology.
[15] T. Lang,et al. Estimating the causal effect of an exposure on change from baseline using directed acyclic graphs and path analysis. , 2015, Epidemiology.
[16] S. Vansteelandt,et al. Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods , 2017, American journal of epidemiology.
[17] Eric J Tchetgen Tchetgen,et al. Accounting for Bias Due to Selective Attrition: The Example of Smoking and Cognitive Decline , 2012, Epidemiology.
[18] D. Roth,et al. Unintentional weight loss predicts decline in activities of daily living function and life-space mobility over 4 years among community-dwelling older adults. , 2008, The journals of gerontology. Series A, Biological sciences and medical sciences.
[19] M. Caruso,et al. Lack of Substantial Post-Cessation Weight Increase in Electronic Cigarettes Users , 2018, International journal of environmental research and public health.
[20] J. Pearl. Causal diagrams for empirical research , 1995 .
[21] R. Kronmal,et al. A regression model for longitudinal change in the presence of measurement error. , 2002, Annals of epidemiology.
[22] J. Robins. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect , 1986 .