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A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies
Orsini, Nicola; Bellocco, Rino; Bottai, Matteo; Wolk, Alicja - In: Stata Journal 8 (2008) 1, pp. 29-48
- to-use Stata command to adjust the relative risk for exposure misclassification, selection bias, and an unmeasured …
Persistent link: https://www.econbiz.de/10005583266
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Direct Effects under Differential Misclassification in Outcomes, Exposures, and Mediators
Li, Yige; VanderWeele, Tyler J. - In: Journal of Causal Inference 8 (2020) 1, pp. 286-299
certain intermediate. When estimating direct effects through measured data, misclassification may occur in the outcomes …, exposures, and mediators. In mediation analysis, any such misclassification may lead to biased estimates in the direct effects …, misclassification mechanisms can be divided into non-differential misclassification and differential misclassification. In this article …
Persistent link: https://www.econbiz.de/10014610888
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Missing Covariates in Longitudinal Data with Informative Dropouts: Bias Analysis and Inference
Roy, Jason; Lin, Xihong - 2005
We consider estimation in generalized linear mixed models (GLMM) for longitudinal data with informative dropouts. At the time a unit drops out, time-varying covariates are often unobserved in addition to the missing outcome. However, existing informative dropout models typically require...
Persistent link: https://www.econbiz.de/10009476551
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Give missings a chance: Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information
Dlugosz, Stephan - 2011
checks for misclassification to improve the quality of the variable. The developed correction procedure is applied to simple …
Persistent link: https://www.econbiz.de/10010304329
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Some recent advances in measurement error models and methods
Schneeweiss, Hans; Augustin, Thomas - 2005
A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to...
Persistent link: https://www.econbiz.de/10010332971
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Adjusting maternal mortality data for international comparisons. The case of vital registration systems
Jentoft, Susie; Nielsen, Vibeke Oestreich; Roll-Hansen, Dag - 2014
Register data on maternal deaths is adjusted in international reports to account for underreporting; however, there has been controversy around these adjustments. The objective of this article is to review the adjustment factors applied to maternal mortality register data. A literature review...
Persistent link: https://www.econbiz.de/10011968543
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On the Estimation of Treatment Effects with Endogenous Misreporting
Nguimkeu, Pierre; Denteh, Augustine; Tchernis, Rusty - 2018
Participation in social programs is often misreported in survey data, complicating the estimation of the effects of those programs. In this paper, we propose a model to estimate treatment effects under endogenous participation and endogenous misreporting. We show that failure to account for...
Persistent link: https://www.econbiz.de/10011873430
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Misclassification and the hidden silent rivalry
Hu, Yingyao; Lin, Zhongjian - 2018
misclassification errors in students' self-reported attitudes. We develop a binary choice model with misclassification and social …
Persistent link: https://www.econbiz.de/10011941440
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Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified
Tang, Li; Lyles, Robert H.; Ye, Ye; Lo, Yungtai; King, … - In: Epidemiologic Methods 2 (2013) 1, pp. 49-66
Abstract The problem of misclassification is common in epidemiological and clinical research. In some cases …, misclassification may be incurred when measuring both exposure and outcome variables. It is well known that validity of analytic results … elucidate extensions of well-studied methods in order to facilitate misclassification adjustment when a binary outcome and …
Persistent link: https://www.econbiz.de/10014590594
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Sample registration of vital events with verbal autopsy: a renewed commitment to measuring and monitoring vital statistics
Setel, P. W.; Sankoh, O.; Rao, C. P. V.; Velkoff, V. A.; … - 2005
Registration of births, recording deaths by age, sex and cause, and calculating mortality levels and differentials are fundamental to evidence-based health policy, monitoring and evaluation. Yet few of the countries with the greatest need for these data have functioning systems to produce them...
Persistent link: https://www.econbiz.de/10009447936