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Skip search results from other journals and go to results- 7 JMIR Public Health and Surveillance
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Simple logistic regression was used to determine the factor that is associated with contraception knowledge, attitudes, and practices, and to determine the candidate variables for the multivariable analysis. Variables with less than 10% probability were selected and added to the omnibus model to determine the predictors of contraception knowledge, attitudes, and practices.
JMIRx Med 2025;6:e56135
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To assess the primary outcome, we assessed the difference in proportions using χ2 tests and relative risk estimated from logistic regression. We also assessed for any interaction effects of doses due or language of messages (English or Luganda). The number needed to message for one additional vaccination was then calculated. In addition, the timeliness of vaccination was assessed using Kaplan-Meier analyses with log rank test. All analyses were intention to treat.
JMIR Mhealth Uhealth 2025;13:e63527
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After identifying CCP subgroups, we extracted CCP-specific risks of outcomes of interest (C) conditionally on all predefined and algorithmically selected features through weighted logistic regression analyses providing average odds ratio (OR) estimates. Additionally, we stratified individuals based on their key features to conduct subgroup analyses.
JMIR Public Health Surveill 2025;11:e67840
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Table 2 presents the correlation between independent variables and depression symptoms through multilevel linear regression analyses. There was a significant relationship between different BMI and NSSI (β=.056); after controlling for covariates, these relationships were also significant. Furthermore, there was a significant relationship between self-esteem and NSSI (β=−.077); after controlling for covariates, this relationship was also significant.
JMIR Public Health Surveill 2025;11:e52928
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Multivariable logistic regression analysis was performed to estimate the adjusted association between participants’ demographics and socioeconomic status, stressors experienced during lockdown, external support, physical and mental health, and their intention to use mental health services. These factors were chosen either as primary interests or based on previous research and our data indicating they are either potential confounders or effect modifiers.
JMIR Form Res 2024;8:e51470
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To our knowledge, this is the first study to apply the Poisson GAM and the Piecewise Linear Regression Model to explore the relationship between 7 climate variables and the incidence of varicella in Wuxi, in East China’s Huadong Region.
The GAM incorporates the following covariates: First, a smoothing term is generated using a thin plate spline function with a maximum degree of freedom of 6 to account for long-term trends in the disease number sequence.
JMIR Public Health Surveill 2024;10:e62863
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Consequently, different types of regression modeling approaches were required to examine the associations between digital maturity levels (underdeveloped versus advanced) and The Leapfrog Group's Hospital Safety Grades, practices, and outcomes. The regression methodologies used in each case are described in the following paragraphs.
J Med Internet Res 2024;26:e56316
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