Analysis of repeated pregnancy outcomes
| Autor: | Germaine M. Buck Louis, Patrick J. Heagerty, Enrique F. Schisterman, Ann Trumble, Courtney D. Lynch, Louise Ryan, Thomas A. Louis, Vanja Dukic |
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| Rok vydání: | 2006 |
| Předmět: |
Statistics and Probability
Mixed model Adult Adolescent Databases Factual Epidemiology Sample (statistics) 01 natural sciences 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Health Information Management Pregnancy Covariate Statistics Econometrics Medicine Birth Weight Humans 030212 general & internal medicine 0101 mathematics Cluster analysis Generalized estimating equation Models Statistical business.industry Research Pregnancy Outcome Contrast (statistics) Statistical model Variance (accounting) United States Linear Models Female business |
| Zdroj: | Statistical methods in medical research. 15(2) |
| ISSN: | 0962-2802 |
| Popis: | Women tend to repeat reproductive outcomes, with past history of an adverse outcome being associated with an approximate two-fold increase in subsequent risk. These observations support the need for statistical designs and analyses that address this clustering. Failure to do so may mask effects, result in inaccurate variance estimators, produce biased or inefficient estimates of exposure effects. We review and evaluate basic analytic approaches for analysing reproductive outcomes, including ignoring reproductive history, treating it as a covariate or avoiding the clustering problem by analysing only one pregnancy per woman, and contrast these to more modern approaches such as generalized estimating equations with robust standard errors and mixed models with various correlation structures. We illustrate the issues by analysing a sample from the Collaborative Perinatal Project dataset, demonstrating how the statistical model impacts summary statistics and inferences when assessing etiologic determinants of birth weight. |
| Databáze: | OpenAIRE |
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