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Ioannidis, J. P.

Publications and source records attributed to Ioannidis, J. P..

2 recordsLinked to original sources

Systematic Identification of Correlates of HIV-1 Infection: An X-Wide Association Study in Zambia

BackgroundHIV-1 remains the leading cause of death among adults in Sub-Saharan Africa, and over 1 million people are infected annually. Better identification of at-risk groups could benefit prevention and treatment programmes. We systematically identified factors related to HIV-1 infection in two nationally representative cohorts of women that participated in Zambias Demographic and Health Surveys (DHS).\n\nMethodsWe conducted a comprehensive analysis to identify and replicate the association of 1,415 social, economic, environmental, and behavioral indicators with HIV-1 status. We used the 2007 and 2013-2014 DHS surveys conducted among 5,715 and 15,433 Zambian women, respectively (727 indicators in 2007; 688 in 2013-2014; 688 in both). We used false discovery rate criteria to identify indicators that are strongly associated with HIV-1 in univariate and multivariate models in the entire population, as well as in subgroups stratified by wealth, residence, age, and history of HIV-1 testing.\n\nFindingsIn the univariate analysis we identified 102 and 182 variables that are associated with HIV-1 in the 2007 and 2013-2014 surveys, respectively, among which 79 were associated in both. Variables that were associated with HIV-1 status in all full-sample models (unadjusted and adjusted) as well as in at least 17 out of 18 subgroups include being formerly in a union (adjusted OR 2007 2.8, p<10-16; 2013-2014 2.8, p<10-29), widowhood (adjusted OR 2007 3.7, p<10-12; 2013-2014 4.2, p<10-30), history of genital ulcers in the last 12 months (adjusted 2007 OR 2.4, p<10-5; 2013-2014 2.2, p<10-6), and having a woman for the head of the household (2007 OR 1.7, p<10-7; 2013-2014 OR 2.1, p<10-26), while owning a bicycle (adjusted 2007 OR 0.6, p<10-6; 2013-2014 0.6, p<10-8) and currently breastfeeding (adjusted 2007 OR 0.5, p<10-9; 2013-2014 0.4, p<10-26) were associated with decreased risk. Using the identified variables, area under the curve for HIV-1 positivity ranged from 0.76 to 0.82.\n\nInterpretationOur X-wide association study in Zambian women identifies multiple under-recognized factors correlated with HIV-1 infection in 2007 and 2013-2014, including widowhood, breastfeeding, and being the head of the household. These variables could be used to improve HIV-1 testing and identification programs.

epidemiology

When null hypothesis significance testing is unsuitable for research: a reassessment

Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of psychology, cognitive neuroscience and biomedical science in general. We review these shortcomings and suggest that, after about 60 years of negative experience, NHST should no longer be the default, dominant statistical practice of all biomedical and psychological research. Different inferential methods (NHST, likelihood estimation, Bayesian methods, false-discovery rate control) may be most suitable for different types of research questions. Whenever researchers use NHST they should justify its use, and publish pre-study power calculations and effect sizes, including negative findings. Studies should optimally be pre-registered and raw data published. The current statistics lite educational approach for students that has sustained the widespread, spurious use of NHST should be phased out. Instead, we should encourage either more in-depth statistical training of more researchers and/or more widespread involvement of professional statisticians in all research.

neuroscience