Interpretation of commonly used statistical regression models.
about
Introduction to multiple imputation for dealing with missing data.Survival analysis of time-to-event data in respiratory health research studies.Modern statistical methods in respiratory medicine.Introduction to causal diagrams for confounder selection.Introduction to propensity scores.Correcting for the bias caused by exposure measurement error in epidemiological studies.Statistical models for respiratory disease diagnosis and prognosis.Towards better-quality research reporting in Respirology.An epilogue to the review series on modern statistical methods in respiratory medicine.
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Interpretation of commonly used statistical regression models.
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article científic
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article scientifique
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articol științific
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articolo scientifico
@it
artigo científico
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artigo científico
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artigo científico
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artikel ilmiah
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artikull shkencor
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artículo científico
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name
Interpretation of commonly used statistical regression models.
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type
label
Interpretation of commonly used statistical regression models.
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prefLabel
Interpretation of commonly used statistical regression models.
@en
P2860
P356
P1433
P1476
Interpretation of commonly used statistical regression models.
@en
P2093
Jessica Kasza
P2860
P356
10.1111/RESP.12221
P50
P577
2014-01-01T00:00:00Z