Meta‐analysis of continuous outcomes: Using pseudo IPD created from aggregate data to adjust for baseline imbalance and assess treatment‐by‐baseline modification
Sign Up to like & getrecommendations! Published in 2020 at "Research Synthesis Methods"
DOI: 10.1002/jrsm.1434
Abstract: Meta‐analysis of individual participant data (IPD) is considered the “gold‐standard” for synthesizing clinical study evidence. However, gaining access to IPD can be a laborious task (if possible at all) and in practice only summary (aggregate)… read more here.
Keywords: analysis; pseudo ipd; aggregate data; baseline ... See more keywords
Pharmacometric estimation methods for aggregate data, including data simulated from other pharmacometric models
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Pharmacokinetics and Pharmacodynamics"
DOI: 10.1007/s10928-021-09760-1
Abstract: Graphic abstract Lack of data is an obvious limitation to what can be modelled. However, aggregate data in the form of means and possibly (co)variances, as well as previously published pharmacometric models, are often available.… read more here.
Keywords: estimation; data generating; pharmacometric models; aggregate data ... See more keywords
Estimating local average treatment effects in aggregate data
Sign Up to like & getrecommendations! Published in 2017 at "Applied Economics Letters"
DOI: 10.1080/13504851.2016.1226483
Abstract: ABSTRACT In some contexts, the effect of a treatment can be estimated with easily accessible aggregate rather than individual data, using difference-in-difference estimation. However, under imperfect assignment within groups, this produces intent-to-treat estimates, which may… read more here.
Keywords: local average; average treatment; estimating local; treatment ... See more keywords
Parametric analysis of time-censored aggregate lifetime data
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DOI: 10.1080/24725854.2019.1628374
Abstract: Abstract Many large organizations have developed ambitious programs to build reliability databases by collecting field failure data from a large variety of components. To make the database concise, only the number of component replacements in… read more here.
Keywords: censored aggregate; time; aggregate data; lifetime ... See more keywords
Efficient Recommendation of Aggregate Data Visualizations
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DOI: 10.1109/tkde.2017.2765634
Abstract: Data visualization is a common and effective technique for data exploration. However, for complex data, it is infeasible for an analyst to manually generate and browse all possible visualizations for insights. This observation motivated the… read more here.
Keywords: recommendation; recommendation aggregate; utility; multi objective ... See more keywords
Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneity.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13778
Abstract: Leveraging information in aggregate data from external sources to improve estimation efficiency and prediction accuracy with smaller-scale studies has drawn a great deal of attention in recent years. Yet, conventional methods often either ignore uncertainty… read more here.
Keywords: information; population heterogeneity; aggregate data; estimation ... See more keywords
Disease Attribution to Multiple Exposures Using Aggregate Data.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of epidemiology"
DOI: 10.2188/jea.je20210084
Abstract: INTRODUCTION Identifying which exposures cause disease and quantifying their impacts is essential in promoting and monitoring public health. When multiple exposures are involved, measuring individual contributions becomes challenging. METHODS The authors propose a disease attribution… read more here.
Keywords: aggregate data; disease; disease attribution; multiple exposures ... See more keywords