2021
DOI: 10.2196/26042
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Impact of Firearm Surveillance on Gun Control Policy: Regression Discontinuity Analysis

Abstract: Background Public mass shootings are a significant public health problem that require ongoing systematic surveillance to test and inform policies that combat gun injuries. Although there is widespread agreement that something needs to be done to stop public mass shootings, opinions on exactly which policies that entails vary, such as the prohibition of assault weapons and large-capacity magazines. Objective The aim of this study was to determine if the … Show more

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Cited by 17 publications
(7 citation statements)
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“…The FAWB prevented 11 public mass shootings during the decade it was in effect. Linear regression analysis of the data showed that continued implementation of the FAWB would have prevented 30 public shootings and saved the lives of 339 people and 1139 injured people [38].…”
Section: Discussionmentioning
confidence: 99%
“…The FAWB prevented 11 public mass shootings during the decade it was in effect. Linear regression analysis of the data showed that continued implementation of the FAWB would have prevented 30 public shootings and saved the lives of 339 people and 1139 injured people [38].…”
Section: Discussionmentioning
confidence: 99%
“…The evolutionary factor makes the phenotype/genotype linkage research difficult; besides, this phenomenon also creates difficulties in the correlation studies that are only applicable to a single specific population. However, the linkage found in admixed populations did not have the same bias as in more homogeneous populations, such as Europeans [38]. Beside these research studies, other studies were performed on same populations, which were not able to distinguish skin color among different groups of African, Native Americans, and Asian [39].…”
Section: Skin Colormentioning
confidence: 92%
“…Lastly, a simple linear regression analysis was employed, wherein the variables mean (M) (mean of variables complete pulp length/root length [from ECJ to root apex] [p], complete pulp length/complete tooth length [r], complete pulp length/ root width at ECJ level [a], pulp/root width at midpoint level between ECJ level and mid-root level [b], and pulp/root width at mid-root level [c]) and the difference between width and length (W À L) were found to contribute significantly to the chronological age estimation and were utilized in the regression equation for Kvaal's method as per the given formula: Age = 129.8 À (316.4 Â M) (6.8 Â [W À L]). Other Authors like Bosmans et al [36], Landa et al [37], and Li et al [38] used measurements made on a panoramic radiograph instead of periapical radiographs used in the original formula of Kvaal's technique, thus avoiding the cumbersome full mouth radiographs.…”
Section: Introductionmentioning
confidence: 99%
“…In many fields, experimental studies are held up as the "gold standard" for evaluation quality (although not without critiques [e.g., 43,142,190]), as they allow researchers to compare the outcomes (e.g., test scores) of a group who received an intervention with a similar control group that did not [5,80]. When randomized assignment of participants to a treatment or control group makes experimental studies impossible or infeasible, as in state-level health policy research [e.g., 9]), researchers may use quasi-experimental methods (e.g., regression discontinuity analysis [160], difference-in-difference [9], propensity score matching, and instrumental variables [93,96]) to approximate the controls used in an experimental study.…”
Section: Evaluation Goals and Approaches Outside Of Hcimentioning
confidence: 99%