Combining data from RCTs and Observational studies
The clinical course of low back pain: a meta analysis comparing outcomes in randomised clinical trials (RCTs) and observational studies
... of studies To meet the specific aims of the study, the literature search did not have to be exhaustive, but to provide sufficiently large pool of ...sufficient data source for ...For observational ...
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Is arthroscopic repair superior to biceps tenotomy and tenodesis for type II SLAP lesions? A meta-analysis of RCTs and observational studies
... included studies were mostly observational studies and not RCTs, and they largely relied on retrospectively collected data, resulting in a high risk of selection ...
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The risk of bias in observational studies of exposures (ROBINS-E) tool: concerns arising from application to observational studies of exposures
... in observational studies of ex- posures is a complex topic, and it may be difficult for any tool to incorporate some aspects that are essential to evaluating observational ...different ...
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Observational studies and the difficult quest for causality: Lessons from vaccine effectiveness and impact studies
... efficacy from randomized controlled trials (RCT), many questions about vaccine effectiveness (VE) can be answered only by observational approaches after the vaccine is in ...are observational, ...
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Integrating data from randomized controlled trials and observational studies to predict the response to pregabalin in patients with painful diabetic peripheral neuropathy
... of data will depend on the blending of evidence-based medicine from traditional clinical study sources together with ‘big data’ methods ...classification, data mining, and predictive analytic ...
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Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies.
... database observational studies are increasingly ...the data to increase statistical ...dinal data on individuals, often over many years, and typically contain richer informa- tion on a broader ...
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Addressing the challenges of uncertainty in regression models for high dimensional and heterogeneous data from observational studies
... arise from these strategies. As the variability resulting from a single source of uncertainty is typically very difficult to interpret, it is important in this context to be able to quantify sampling and ...
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Flexible Methods for the Analysis of Clustered Event Data in Observational Studies
... plots from Row 3 denotes the estimated proportion of deaths computed based on a pre-specified ratio ...under-reporting data issue can be calibrated using an algorithm, which assumes an exponential increase ...
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Handling missing data in RCTs; a review of the top medical journals
... outcome data, even if the primary interest is in a spe- cific time point, can reduce some or all of the bias due to data which are missing ...contrast from a mixed model estimated the effect to be ...
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Seven challenges for model driven data collection in experimental and observational studies
... tools from hypotheses and ...guiding data collection in experimental and observational studies, leading to more efficient testing of hypotheses and more robust study ...informing data ...
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On combining triads and unrelated subjects data in candidate gene studies: an application to data on testicular cancer.
... strategy, we choose 1, 5, and 9 controls for the random selection strategy, respectively. A total of 1000 simulated datasets, each consist of 500 case- parents triads, were used for comparing the bias and relative ef- ...
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Learning clinical outcomes from massive observational data
... accommodate studies on medication [Reisinger et ...mellitus, from August 1, 2005 until July 5, 2006, this would register as two separate drug eras for empagliflozin and linagliptin, each from June ...
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Estimating Causal Effects from Nonparanormal Observational Data
... which from previous studies are known to be involved in circadian reg- ulation (Grzegorczyk and Husmeier, 2011a,b, Grzegorczyk, Husmeier, Edwards, Ghazal, and Millar, 2008, Jia and Huan, ...
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Observational Studies and Bias in Epidemiology
... epidemiologic studies exclude participants to prevent ...excluded from the control ...the data after excluding controls with cardiovascular ...
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Modern Optimization in Observational Studies
... simulation studies to demonstrate that neither weakness nor symmetry of formulation proves inimical to conducting hypothesis testing and sensitivity analyses using the methodology outlined in this paper, even with ...
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Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington’s disease
... with the second expression being the survival function. The integral in Eq. 5 does not have a closed-form solu- tion and numerical methods are needed for its evalu- ation. For the analysis we used the JMbayes Markov ...
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Combining molecular and incomplete observational data to inform management of southern white rhinoceros (Ceratotherium simum simum)
... demographic data that could be used to inform translocation pro- grammes for SWR in a confined population in ...removed from the population, suggesting that closed populations can maintain multiple, ...
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Extending the use of GWAS data by combining data from different genetic platforms
... combine data geno- typed on different genotyping ...consortia combining data of studies genotyped on different platforms is to impute the individual cohorts locally and combine them later ...
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Methods for Learning and Predicting Causal Relationships from Observational Data.
... features from the causal structure, they were able to identify only AMO and IOD ...Recent studies in climate science have benefited from studying causal relationships in the CPDAG output by the PC ...
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Learning Individual Causal Effects from Networked Observational Data
... various observational data such as a social network of patients, an electrical grid of power sta- tions, and a spatial network of geometric objects, to name a ...different from the existing ...
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