Intermediate and advanced topics in multilevel logistic regression analysis

435 indexed citations

Abstract

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About

This paper, published in 2017, received 435 indexed citations. Written by Peter C. Austin and Juan Merlo covering the research area of Statistics and Probability. It is primarily cited by scholars working on General Health Professions (109 citations), Pediatrics, Perinatology and Child Health (100 citations) and Public Health, Environmental and Occupational Health (64 citations). Published in Statistics in Medicine.

In The Last Decade

doi.org/10.1002/sim.7336 →

Countries where authors are citing Intermediate and advanced topics in multilevel logistic regression analysis

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This map shows the geographic impact of Intermediate and advanced topics in multilevel logistic regression analysis. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Intermediate and advanced topics in multilevel logistic regression analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intermediate and advanced topics in multilevel logistic regression analysis more than expected).

Fields of papers citing Intermediate and advanced topics in multilevel logistic regression analysis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Intermediate and advanced topics in multilevel logistic regression analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Intermediate and advanced topics in multilevel logistic regression analysis.

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This paper is also available at doi.org/10.1002/sim.7336.

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