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Statistical Methods and Bayesian Inference

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on various statistical methods and models for handling missing data in research, including multiple imputation, Bayesian modeling, generalized linear models, longitudinal data analysis, and sensitivity analysis. It covers topics such as model complexity, simulation studies, and the application of these methods in different fields. The cluster also discusses the challenges and best practices for analyzing datasets with missing values.

138
Works

How has Statistical Methods and Bayesian Inference's publication output changed over time?

ScholarIQpublication output · 1999–2020

Output grew100% over the shown period — from 1 works in 1999 to 2 in 2020.

1
1
2
1
1
1
1
1
2
2
1999200020012004200720082012201620192020

What are the most-cited papers on Statistical Methods and Bayesian Inference?

ScholarIQmost cited works
Internal validation of predictive models
Ewout W. Steyerberg, Frank E. Harrell, Gerard Borsboom, Marinus J.C. Eijkemans, Yvonne Vergouwe, J. Dik F. Habbema
Journal of Clinical Epidemiology. 20012,664 Citations
Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls
Pratik Sinha, Carolyn S. Calfee, Kevin Delucchi
Critical Care Medicine. 20201,129 CitationsOPEN ACCESS
The JASP guidelines for conducting and reporting a Bayesian analysis
Johnny van Doorn, Don van den Bergh, Udo Böhm, Fabian Dablander, Koen Derks, Tim Draws, Alexander Etz, Nathan J. Evans, Quentin F. Gronau, Julia M. Haaf, Max Hinne, Šimon Kucharský, Alexander Ly, Maarten Marsman, Dóra Matzke, Akash Gupta, Alexandra Sarafoglou, Angelika Marlene Stefan, Jan G. Voelkel, Eric‐Jan Wagenmakers
S138679565. 20201,095 CitationsOPEN ACCESS
The proportion of missing data should not be used to guide decisions on multiple imputation
Paul Madley‐Dowd, Rachael A. Hughes, Kate Tilling, Jon Heron
Journal of Clinical Epidemiology. 20191,066 CitationsOPEN ACCESS
Simple sample size calculation for cluster-randomized trials
Richard Hayes, S. Bennett
International Journal of Epidemiology. 1999848 CitationsOPEN ACCESS

Where is Statistical Methods and Bayesian Inference research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Statistical Methods and Bayesian Inference is open access?

ScholarIQopen access share
53%OPEN ACCESS
Gold
7%
Green
20%
Hybrid
20%
Bronze
7%
Closed
47%

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MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
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Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
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Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews
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Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
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The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed
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Internal validation of predictive models
Paper
470M+ articles · free account