Nationwide retrospective cohort survey of orthopedic injuries in members of the Taiwanese population with psychiatric disorders, 2000–2005

Road Crashes in Adults with Attention Deficit Hyperactivity Disorder and Risky Driving Behavior

“…Injuries due to traffic accidents will become the fifth leading cause of death by 2030 if preventive interventions are not implemented quickly (WHO) (15). The psychiatric and psychological aspects of injury are an important field of study in accident-ology (16)(17)(18)(19)(20). According to the undeniable role of the psychiatric and psychological aspect of road crashes and crash injuries and a high number of motor vehicle accident in Iran, it is necessary to investigate psychiatric and psychological aspect of road crashes and crash injuries.…”

Using Big Data to Develop the Epidemiology of Orthopedic Trauma

“…It is important for an orthopedic researcher to learn some modern biostatistics to deal with nationwide big data. For example, three basic epidemiological study designs can be applied to an existing big-data for healthcare to study orthopedic medicine: crosssectional study [4][5][6][7][8][9], retrospective case-control study [10][11][12], and retrospective cohort study [13][14][15]. Methods to estimate the prevalence or incidence of some orthopedic disorders or injuries, to evaluate their associated factors, to select other comparable groups and to use some suitable statistical models are shown in Table 1.…”

“…Based on our restricted experience, the descriptive epidemiology of orthopedic trauma could use big data such as a nationwide health insurance databank to calculate prevalences [4,6,7] or incidences [5,[8][9][10] with 95% confidence intervals (CIs), and analytic epidemiology of orthopedics could be also performed. All the enrolled cases could be divided into several subgroups for comparison [11,12,14,15], but a control group may be randomly selected from the other normal population by a matched method [13]. In a retrospective data analysis, the odds ratio (OR) with the 95% CI is evaluated [11][12][13], usually by a binominal logistic regression (LR) model or an innovative multi-level logistic regression (MLLR) model [11,12].…”

“…All the enrolled cases could be divided into several subgroups for comparison [11,12,14,15], but a control group may be randomly selected from the other normal population by a matched method [13]. In a retrospective data analysis, the odds ratio (OR) with the 95% CI is evaluated [11][12][13], usually by a binominal logistic regression (LR) model or an innovative multi-level logistic regression (MLLR) model [11,12]. In a retrospective cohort data analysis, the relative risk (RR) with the 95% CI is also evaluated [10,[13][14][15], usually by a traditional survival analysis method, although an unconventional Poisson regression model [14,15] can be used in some specific situations.…”

“…In a retrospective data analysis, the odds ratio (OR) with the 95% CI is evaluated [11][12][13], usually by a binominal logistic regression (LR) model or an innovative multi-level logistic regression (MLLR) model [11,12]. In a retrospective cohort data analysis, the relative risk (RR) with the 95% CI is also evaluated [10,[13][14][15], usually by a traditional survival analysis method, although an unconventional Poisson regression model [14,15] can be used in some specific situations. A long-term registered database could be used to observe trends in some orthopedic issues, and furthermore, the period effect could be evaluated [15].…”