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John McGready
Johns Hopkins University
Lecture Topics
Examples for PH literature
Different presentation styles for results from LR
Logistic regression and case control studies
Summary
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Examples from the Literature
Example of Logistic Regression
Predictors of Injury among Adult Recreational In-line
Skaters: A Multi-City Study
Seldes, et al. (1999), AJPH , Vol. 89: 238–241
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Objectives
“We conducted a cross-sectional survey of adult recreational skaters in six major cities in the U.S. to identify risk factors for injury from in-line skating, [to] estimate the prevalence of such injuries, and [to] describe the use of safety gear and skating habits of this population.”
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Methods
“Unadjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for all variables of interest.”
“Logistic regression models included all variables that were statistically significant in unadjusted analyses, were considered clinically important based on a priori hypotheses, or whose addition to the models substantially changed the estimates of the effect of other factors.”
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Results
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Results
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Results
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Results
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Authors’ Conclusions
“The results from this large survey indicate that skating location, performing tricks while skating, and skating more hours per week are significant predictors of injury from in-line skating.”
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Example of Logistic Regression
Increased Cesarean Section Rates and Emergency Patterns of Health Insurance in Shanghai, China
Cai, et al., AJPH , 1998, 88: 777–780
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Objectives
“This study examined the trend in cesarean section deliveries and the factors associated with it in the
Minhang District of Shanghai, China.”
“This study analyzed the data from 1,959 married women of reproductive age with at least one live birth.”
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Methods
“To determine the independent effects of variables on a woman’s likelihood of having a cesarean section, we performed a series of logistic regression analyses for the births that occurred from 1988 through 1993. . . .”
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Methods
“. . . In these analyses, the method of delivery was treated as the dependent variable and the factors described earlier as independent variables.”
“Variables that no longer remained significant, after other variables were controlled for, were not included in the final model.”
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Results
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Results
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Results
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Results
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Results
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Footnote details reference groups and units for continuous predictors
Results
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Footnote details reference groups and units for continuous predictors
Results
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Footnote details reference groups and units for continuous predictors
Results
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Footnote details reference groups and units for continuous predictors
Results
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Results
“During the past three decades, the proportion of infants born by cesarean section increased from 4.7% to 22.5%.”
“Logistic regression analysis revealed that the highest cesarean section rate, which occurred in the most recent period of 1988 through 1993, was associated with the form of medical payment. . . .”
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Results
“. . . self-reported complications during pregnancy, higher birth weight, and maternal age.”
“Government insurance pays all costs of cesarean sections and accounted for the highest proportion of the cesarean section rate.”
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Results
“The high rates of cesarean sections in China are surprising given the lack of the factors that usually lead to cesarean sections.”
“The increasing cesarean section rates may be an early indication that emerging forms of health insurance and fee-for-service payments to physicians will lead to an excessive emphasis on costly, high-technology medical care in China.”
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Another Example
Teenage Smoking, Attempts to Quit, and School
Performance
Hu, et al. (1998), AJPH , 88: 940–943
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Objective
“This study examined the relationship between school performance, smoking, and quitting attempts among teenagers.”
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Methods
“A logistic regression model was used to predict the probability of being a current smoker or a former smoker.”
“Data were derived from the 1990 California Youth
Tobacco Survey.”
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Results
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Results
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Results
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Results
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The footnote holds the keys to interpreting
Results
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Results
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The footnote holds the keys to interpreting
Results
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Conclusion
“Developing academic or remedial classes designed to improve students’ school performance may lead to a reduction in smoking rates among teenagers while simultaneously providing a human capital investment in their futures.”
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