Original Research
5 April 2022

Homicide Deaths Among Adult Cohabitants of Handgun Owners in California, 2004 to 2016: A Cohort StudyFREE

Publication: Annals of Internal Medicine
Volume 175, Number 6
Visual Abstract. Homicide Deaths Among Cohabitants of Handgun Owners.
Household protection is a major motivation for purchasing firearms, but whether living in a home with guns protects household members is poorly understood. This study estimated the association between living with a lawful handgun owner and risk for homicide victimization in a population of more than 17 million California adults.

Abstract

Background:

Although personal protection is a major motivation for purchasing firearms, existing studies suggest that people living in homes with firearms have higher risks for dying by homicide. Distribution of those risks among household members is poorly understood.

Objective:

To estimate the association between living with a lawful handgun owner and risk for homicide victimization.

Design:

This retrospective cohort study followed 17.6 million adult residents of California for up to 12 years 2 months (18 October 2004 through 31 December 2016). Cohort members did not own handguns, but some started residing with lawful handgun owners during follow-up.

Setting:

California.

Participants:

17 569 096 voter registrants aged 21 years or older.

Measurements:

Homicide (overall, by firearm, and by other methods) and homicide occurring in the victim's home.

Results:

Of 595 448 cohort members who commenced residing with handgun owners, two thirds were women. A total of 737 012 cohort members died; 2293 died by homicide. Overall rates of homicide were more than twice as high among cohabitants of handgun owners than among cohabitants of nonowners (adjusted hazard ratio, 2.33 [95% CI, 1.78 to 3.05]). These elevated rates were driven largely by higher rates of homicide by firearm (adjusted hazard ratio, 2.83 [CI, 2.05 to 3.91]). Among homicides occurring at home, cohabitants of owners had sevenfold higher rates of being fatally shot by a spouse or intimate partner (adjusted hazard ratio, 7.16 [CI, 4.04 to 12.69]); 84% of these victims were female.

Limitations:

Some cohort members classified as unexposed may have lived in homes with handguns. Residents of homes with and without handguns may have differed on unobserved traits associated with homicide risk.

Conclusion:

Living with a handgun owner is associated with substantially elevated risk for dying by homicide. Women are disproportionately affected.

Primary Funding Source:

The National Collaborative on Gun Violence Research, the Fund for a Safer Future, the Joyce Foundation, Stanford Law School, and the Stanford University School of Medicine.
One in 3 homes in the United States contains at least 1 firearm (1)—a far higher level of private ownership than in any other country (2). Firearm owners cite protection as the leading reason for owning a gun (1, 3, 4), and three quarters of owners report feeling safer with a gun in their home (3). Over the past 25 years, the prevalence of personal safety as a reported motivation for owning guns has steadily increased (5, 6).
In theory, ready access to a gun in the home could enhance safety by thwarting or deterring attacks. However, available evidence from ecologic (7–9) and case–control (10–18) studies suggests that gun access has the opposite effect. A 2014 meta-analysis (18) concluded that people in homes with firearms have double the odds of dying by homicide compared with people in homes without firearms.
A limitation of nearly all existing studies is that they are designed to estimate only aggregate, household-level risks, thereby conflating deaths among firearm owners with deaths among nonowners residing in the same home. This approach obscures the “secondhand” risks (or benefits) of gun ownership for members of the owner's household. Moreover, because most gun owners are men (1) and most adult nonowners who reside with owners are women, any such secondhand risks are likely to be gendered.
We identified homicide deaths occurring over 12.2 years in a cohort of 17.6 million residents of California aged 21 years or older. Cohort members did not own handguns, and none resided with handgun owners at baseline, but nearly 600 000 started residing with owners during the study period. Our goal was to estimate the effect of household exposure to handguns on nonowners' risk for dying by homicide. We were particularly interested in homicides occurring in or around the home because protecting one's home is a major motivation for gun ownership (19) and a plurality of homicides occur in the home (20).

Methods

The study was approved by the institutional review board at Stanford University. The results are reported in accordance with the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines (21).

Study Setting and Population

We drew the cohort for this study from a parent cohort assembled for the LongSHOT project. The parent cohort consisted of 28 642 659 adult residents of California—essentially all registered voters in the state—who were followed from 18 October 2004 through 31 December 2016.
To create the study sample, we applied several exclusion criteria to the parent cohort (Figure 1). First, members of 1-adult households were excluded (they had no observable cohabitants), as were members of households with 5 or more adults (n = 6 052 439). Second, we excluded people who had acquired handguns between 1985 and the day they were otherwise eligible to enter the study cohort, unless their stock had been fully divested at that moment; their cohabitants were also excluded (n = 2 775 602). Third, we excluded people who were residing with handgun owners on the first day they appeared in the cohort (n = 401 721). Thus, all members of the study cohort began contributing observation time while unexposed (22). Some cohort members subsequently became exposed: when a person they lived with acquired a handgun, when they moved in with a handgun owner, or when a handgun owner moved in with them. Fourth, to reduce exposure misclassification, we took advantage of historical information on all lawful handgun acquirers statewide (that is, not only those present in the parent cohort) and excluded people residing with them (n = 1 170 533). Finally, people who were observed only before their 21st birthday were dropped (n = 514 298), as were people with missing birth dates or residential locations (n = 158 970). Additional details and rationales for this set of exclusions are provided in section III of the Supplement.
Figure 1. Study flow diagram.
Derivation of study sample from parent cohort.

Data

The parent cohort is described in detail elsewhere (23, 24). Briefly, we formed it by linking information on handgun transactions and all-cause mortality among adults in California to a series of historical extracts of the California Statewide Voter Registration Database (SVRD).
The SVRD enumerates all registered voters in the state. Because the SVRD must be kept up to date—with new registrations, deregistrations, and changes of names and addresses—extracts present a sample of adults known to be alive and residing in California on the extract date. We obtained 13 historical extracts of the SVRD. The extracts were spaced approximately 1 year apart, spanned our study period (18 October 2004 through 31 December 2016), and included approximately 61% of all adult residents of the state (Supplement Table 2).
Virtually all lawful transfers of firearms in California must be transacted through a licensed firearms dealer (25). The California Department of Justice has archived details of handgun transfers and transferees in the Dealer Record of Sale (DROS) database for decades; details of long gun (rifle and shotgun) transfers were not routinely archived until 1 January 2014 (26). We obtained records of the 9.1 million handgun and long gun transfers recorded in the DROS database over a 32-year period (1 January 1985 through 31 December 2016).
The California Death Statistical Master Files are the state's official mortality records. They contain detailed information on deaths of state residents, wherever the deaths occur. We obtained data on all deaths during the study period.
Within the parent cohort, we formed households by matching “cohabitants”—members of the LongSHOT cohort who resided at the same address during the same period—using information on primary residence provided in the collection of SVRD extracts. Section II of the Supplement describes this household matching method.

Key Measures

Our outcome of interest was homicide coded according to the International Classification of Diseases, 10th Revision, which classifies homicides by method (X85-X99, Y00-Y09), including firearm (X93-X95). Locations of the homicides came from the state mortality records, supplemented with information obtained in searches of the LexisNexis news database and the internet; information on the relationship of victims to perpetrators came exclusively from news searches. Details of the homicide coding methods are provided in section IV(b) of the Supplement.
The DROS data indicated which cohort members acquired handguns and dates of acquisition. Age, sex, and current residential address came from the SVRD. Racial and ethnic group and missing values for sex were imputed using validated methods (27, 28). We geocoded the residential addresses and assigned them to census tracts—geographically contiguous areas designed to approximate small neighborhoods (29).
Using DROS data, we constructed 2 additional variables. First, we identified “divestments”—transfers of the last known handgun a cohort member owned. Second, we flagged cohort members who acquired long guns with an indicator variable that switched on at the date of their first-known long gun acquisition.
For additional details on all study variables, including missing data and imputation methods, see sections IV, V, and VI of the Supplement.

Data Set Structure and Observation and Exposure Time

The final analytic data set was at the person–period level. Eligible cohabitants entered the cohort on the date of the SVRD extract in which they first appeared. Cohort members' observation time ended on the earliest of the following: the day before the date of the next extract in which they did not appear or appeared in an ineligibly sized household (1 or >4 adults), the day before they acquired a handgun, their death or the death of a handgun owner cohabitant, or the end of the study period (Supplement Table 14).
Exposure time began on the day someone residing with a cohort member acquired the household's first documented handgun, or on the date of the first SVRD extract showing a cohort member residing with a handgun owner. Exposure time ended on the day before the date of an SVRD extract that showed the cohort member no longer residing with a handgun owner (because of household moves), the day the last handgun owner in the cohort member's household fully divested, or when observation time ended.

Statistical Analysis

Primary Analysis

We used extended Cox proportional hazards models to calculate cause-specific hazard ratios estimating the relationship between household exposure to a handgun and mortality (all-cause, homicide by firearm, and homicide by other methods). The predictor of interest was a binary variable distinguishing exposed person-time (periods of cohabitation with ≥1 handgun owners) from unexposed person-time (periods of cohabitation with no handgun owners). The models allowed the baseline hazard to vary by census tract and adjusted for baseline age, sex, racial and ethnic group, and long gun ownership by cohort members or their cohabitants.
We compared absolute risk differences between exposed and unexposed cohort members by plotting adjusted cumulative incidence functions for competing risks data, using inverse probability weighting (30, 31). Details of the methods used are provided in section VIII(b) of the Supplement.
Statistical analyses were done using R software, version 4.1.1 (R Foundation for Statistical Computing), and Stata software, version 14.1 (StataCorp). To account for multiple cohort members in the same household, we report cluster-adjusted SEs for all model estimates. For additional information about the primary statistical analyses, see section VIII of the Supplement.

Sensitivity Analyses

We probed the robustness of our results with 3 additional analyses. First, we did bias analyses to calculate how strong the associations would need to be between an unmeasured confounder and our exposure and outcome variables, separately, to fully explain away our main results, conditional on the measured covariates. These analyses used the E-value calculator developed by VanderWeele and colleagues (32, 33).
Second, if cohabitants of some cohort members acquired handguns in response to a known, acute threat, it may be problematic to attribute homicide risk to the presence of those weapons. To address this possibility, we reestimated main results after excluding periods of observation time (12 and 24 months) immediately after the initiation of the exposure. Thus, this modification focused the analysis on longer-term risks.
Third, our main analyses relied on single imputation to generate sex values for cohort members missing them and all values for racial and ethnic group; we also used complete case analysis to analyze homicides by location and victim–perpetrator relationship. These approaches may reduce variability and produce biased estimates. We reestimated key results after using multiple imputation to account for missing values (details are provided in section XI of the Supplement).

Role of the Funding Source

The study was supported by a grant from the National Collaborative on Gun Violence Research. The Fund for a Safer Future, and the Joyce Foundation and internal funds from Stanford Law School and the Stanford University School of Medicine supported assembly of the parent cohort. The funders had no role in the study's design, conduct, or reporting.

Results

Sample Characteristics

The study cohort comprised 17 569 096 adults who were followed for an average of 6.9 years. None of them had recorded handgun acquisitions between 1985 and the time they entered the study cohort, but 595 448 (3.4%) started residing with handgun owners during the study period; two thirds of these cohabitants of handgun owners were female (Table 1). Compared with cohabitants of nonowners, cohabitants of owners were more likely to be female (66.5% vs. 52.3%), be White (72.6% vs. 61.3%), and reside outside an urban area (14.5% vs. 9.1%).
Table 1. Characteristics of the Study Sample, According to Exposure Status

Number, Type, and Crude Rate of Homicides

A total of 737 012 cohort members died during the study period; 2293 died by homicide, of which 1495 were homicides by firearm. Fifty-three percent of the homicides occurred away from the victim's home, 37.8% occurred at the victim's home, 1.3% involved victims residing in irregular dwellings (for example, homeless or institutionalized), and the location could not be determined for the remaining 7.5% (Figure 2). Among homicides that occurred at home, the relationship of perpetrator to victim was unknown for 26.6%; among the rest, the victim was killed by a spouse or intimate partner in 36.9%, another family member in 25.9%, a friend or acquaintance in 20.9%, and a stranger in 16.2%.
Figure 2. Homicides, by location and relationship of perpetrator to victim.
* Nonprivate homes (e.g., institutional setting, outdoor living).
Firearms were used in 65.2% of all homicides, 51.6% of homicides at home, and 77.2% of homicides away from home (Table 2). Crude rates of all 3 of these categories of homicide were higher among cohabitants of handgun owners than among cohabitants of nonowners.
Table 2. Counts and Crude Rates for All-Cause Mortality and Homicide, According to Exposure Status

Adjusted Rate of Homicides

In adjusted analyses, cohabitants of handgun owners had virtually the same all-cause mortality rate as cohabitants of nonowners (adjusted hazard ratio, 1.01 [95% CI, 0.99 to 1.03]) but more than double the homicide rate (adjusted hazard ratio, 2.33 [CI, 1.78 to 3.05]) (Figure 3). This higher homicide rate was primarily attributable to a higher rate of homicide by firearm (adjusted hazard ratio, 2.83 [CI, 2.05 to 3.91]). (Complete estimates from all models are provided in Supplement Tables 22 to 28.)
Figure 3. Adjusted hazard ratios for homicide deaths among cohabitants of handgun owners, according to homicide location and relationship of perpetrator to victim.
Adjusted hazard ratios were estimated with the use of cause-specific extended Cox proportional hazards models in which baseline hazards were stratified according to census tract. The models controlled for age, sex, racial and ethnic group, and ownership of long guns. Complete estimates from all models are shown in Supplement Tables 22 to 28.
* No homicides by other methods among exposed cohort members.
In analyses stratified by location of death, cohabitants of handgun owners had substantially higher rates of homicide at home (adjusted hazard ratio, 3.02 [CI, 2.12 to 4.30]). Again, this elevated risk was primarily attributable to homicides by firearm (adjusted hazard ratio, 4.44 [CI, 2.84 to 6.93]). Rates of homicide occurring away from home were also higher.
Among homicides occurring at home, the hazard ratio comparing the rate of homicides perpetrated by strangers among owners with the corresponding rate among nonowners was 1.47 (CI, 0.34 to 6.41). The hazard ratio comparing rates of homicide perpetrated by spouses and intimate partners between the 2 groups was 4.25 (CI, 2.63 to 6.86), and for homicides perpetrated by family members, friends, and acquaintances it was 2.45 (CI, 1.44 to 4.15). Rates of homicide by firearm at the hands of spouses and intimate partners were sevenfold higher among cohabitants of handgun owners (hazard ratio, 7.16 [CI, 4.04 to 12.69]), and 84% (197 of 235) of cohort members killed this way were women.
Cohort members who were living with handgun owners had higher rates of firearm homicide throughout follow-up than cohort members who were not living with handgun owners (Figure 4). The adjusted cumulative incidence of firearm homicide at 5 years was 0.012% (CI, 0.008% to 0.018%) among exposed cohort members and 0.008% (CI, 0.008% to 0.009%) among unexposed cohort members. These estimates imply that, for every 100 000 nonowners whose cohabitant acquired a handgun, 4.03 more died by firearm homicide in the ensuing 5 years than died among nonowners whose household remained gun-free.
Figure 4. Adjusted cumulative incidence functions for homicide by firearm among cohort members who did (exposed) and did not (unexposed) reside with handgun owners.

Sensitivity Analyses

The bias analyses showed that a putative confounder would need to be large to nullify our main results (Supplement Table 19 and Supplement Figure 5). For example, for a confounder to nullify the positive association detected between cohabiting with a handgun owner and homicide by firearm at home, it would need to both increase the risk for homicide by firearm by a factor of 8.35 and be 8.35 times more common among cohabitants of owners than cohabitants of nonowners.
The adjusted hazard ratios for overall homicide risk from analyses that excluded the first 12 months and 24 months of exposure time were 2.30 (CI, 1.76 to 3.01) and 1.90 (CI, 1.25 to 2.90), respectively. Like other key estimates (for example, adjusted hazard ratios for at-home homicide and at-home homicide perpetrated by strangers), they were not particularly sensitive to imposition of these exclusion periods (Supplement Table 18).
Estimates of homicide risk that relied on multiple imputation methods to account for missing values for sex, racial and ethnic group, and type of homicide were very similar to those reported in Figure 3 (Supplement Tables 20 and 21).

Discussion

This study did not detect evidence of lower rates of homicide among people who lived with handgun owners. On the contrary, cohabitants of handgun owners were more than twice as likely to die by homicide as neighbors living in gun-free homes. This elevated risk was chiefly attributable to higher rates of homicide by firearm. Cohabitants of handgun owners, two thirds of whom were women, faced especially high risks for homicide at home at the hands of spouses and intimate partners. A small minority of homicides involved victims killed by strangers at home; cohabitants of handgun owners did not experience such fatal attacks at lower rates than their neighbors in gun-free homes.
Our results add to a growing body of evidence (7–18) showing elevated rates of homicide victimization in homes with guns. However, homes do not own guns, people do, and most homes with guns are inhabited by a mix of owners and nonowners. Understanding how risks for firearm violence are distributed among household members is important. To analogize, the value of a household study of smoking risks would be limited if it did not differentiate between risks to smokers and risks to nonsmokers exposed to secondhand smoke.
The distinction is made naturally in studies focused on children, because children are rarely gun owners. Miller and colleagues (34) found a positive association between state levels of firearm ownership and the incidence of homicide among 5- to 14-year-olds. A 2003 study of abusive relationships found that cohabitation and perpetrators' access to firearms were both risk factors for femicide (17). However, the only previous study to estimate homicide risks separately for nonowners within households is Cummings and colleagues' 1997 case–control study (13) of health plan enrollees in Washington state. It found that family members of gun owners had approximately double the odds of both homicide and homicide by firearm. But with only 117 homicides and fewer than 70 homicides by firearm to analyze, the study was weakly powered.
In addition to its focus on secondhand risks, our study augments the existing literature in several ways. To our knowledge, it is the first cohort study of household risks of firearm ownership. All household studies to date have used a case–control design and relied on data from the 1980s and 1990s. Also, the scale of our study—with a sample comprising more homicides than all of the previous case–control studies combined—supports estimates of risk among subgroups of special interest.
One such subgroup consists of people shot at home by family members and friends. Members of our cohort who lived with handgun owners were nearly 5 times more likely to die this way than people in gun-free homes. The relative risk for being shot by an intimate partner was especially high, and the victims in these shootings were almost always women. When coupled with the finding that cohabitants of handgun owners did not have lower risks for being killed by strangers, these results conflict with the narrative promulgated by gun rights organizations that a firearm in the home is protective.
Cohabitants of owners also had higher risks for dying by homicide outside the home. This was an unexpected result, not clearly related to the handguns we used to define the exposure in our study, because California law generally requires firearms to be kept at home (35) and only a small fraction of owners have permits authorizing them to carry a gun elsewhere (36). Closer analysis of these deaths showed that the victim's spouse, intimate partner, or other family member was the perpetrator in nearly one third (75 of 256) of away-from-home homicides in which the perpetrator was known. After excluding those cases, we found that cohabitants of owners and cohabitants of nonowners did not have significantly different rates of homicide away from home (adjusted hazard ratio, 1.39 [CI, 0.84 to 2.32]).
Our study has several limitations. First, we could not determine whether the nonowners in our sample were killed by the actual handgun owners or handguns that defined them as exposed; this limitation is less relevant to homicides perpetrated by strangers and others with whom the deceased did not reside. Second, some cohort members may have been misclassified as unexposed because, for example, they or their cohabitants acquired handguns unlawfully or before our data on acquisition histories began in 1985. Such misclassification of exposure to firearms should bias toward the null any differences in homicide risk we detected. Third, we only partially accounted for long gun ownership, although this omission is unlikely to have a large effect on our estimates for 2 reasons: Fewer than 20% of firearm owners in California own only long guns (37), and handguns are used in approximately 90% of homicides by firearm (38, 39).
Fourth, our results suggest that exposed cohort members also had higher risks for dying by nonfirearm homicide. These elevated risks were substantially smaller than those estimated for firearm homicides and did not attain statistical significance. Nonetheless, this result may indicate some residual confounding. Fifth, our study focused on homicide; residing with a gun owner may affect the risks for other kinds of adverse events, such as nonfatal assaults, home invasions, and property theft. Finally, the generalizability of our results beyond registered voters in California is unknown. Voter registrants are not representative of the statewide adult population in certain respects (Supplement Table 3), and homicide rates were lower in our sample than in the general population.
Homicides and suicides account for 97% of the nearly 40 000 firearm-related deaths in the United States each year. It is implausible that gun access decreases suicide risk, and every rigorous study that has examined this relationship has found a positive association. Nonetheless, if firearm ownership enhanced personal safety in other ways, as many gun owners reportedly believe, tolerating some elevated risk for suicide might be considered a worthwhile tradeoff. This study adds to mounting evidence that no such tradeoff exists, because a gun in the home is associated with higher—not lower—risk for fatal assault. People who do not own handguns but live with others who do bear some of that risk, and the amount they bear appears to be substantial.

Supplemental Material

Supplement. Data Supplement

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Published In

cover image Annals of Internal Medicine
Annals of Internal Medicine
Volume 175Number 6June 2022
Pages: 804 - 811

History

Published online: 5 April 2022
Published in issue: June 2022

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David M. Studdert, LLB, ScD https://orcid.org/0000-0003-0585-5537
Department of Health Policy, Stanford University School of Medicine, and Stanford Law School, Stanford, California (D.M.S.)
Yifan Zhang, PhD
Department of Health Policy, Stanford University School of Medicine, Stanford, California (Y.Z., E.E.H., L.P., A.F.H.)
Erin E. Holsinger, MD
Department of Health Policy, Stanford University School of Medicine, Stanford, California (Y.Z., E.E.H., L.P., A.F.H.)
Department of Health Policy, Stanford University School of Medicine, Stanford, California (Y.Z., E.E.H., L.P., A.F.H.)
Alexander F. Holsinger, BA
Department of Health Policy, Stanford University School of Medicine, Stanford, California (Y.Z., E.E.H., L.P., A.F.H.)
Jonathan A. Rodden, PhD
Department of Political Science, Stanford University, Stanford, California (J.A.R.)
Garen J. Wintemute, MD, MPH
School of Medicine, University of California at Davis, Sacramento, California (G.J.W.)
Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts (M.M.).
Acknowledgment: The authors thank staff at the Stanford Geospatial Center and the Stanford Libraries for assistance with geocoding; staff at the Office of the Secretary of State and the California Statewide Database for assistance with voter registration data; and staff at the Bureau of Firearms, California Department of Justice, for assistance with DROS data.
Financial Support: By grants from the National Collaborative on Gun Violence Research, the Fund for a Safer Future (grant GA004696), and the Joyce Foundation (grant 17-37241) and internal funds from Stanford Law School and the Stanford University School of Medicine.
Reproducible Research Statement: Study protocol: Details are available in the Supplement and reference 23. Statistical code: Available from Dr. Studdert (e-mail, [email protected]). Data set: The study cohort was formed by linking confidential data sets held by 3 state agencies in California (Department of Justice, Secretary of State, and Department of Public Health). Each agency provided data to our team on the condition that they be used only for this project, would be kept confidential, and would not be shared. The 3 agencies have prescribed processes for making their data available to researchers. Detailed information on the linkage algorithms and methods is provided in the Supplement and in the appendixes to 2 previously published papers (23, 24).
Corresponding Author: David M. Studdert, LLB, ScD, 615 Crothers Way, Encina Commons, Stanford, CA 94305; e-mail, [email protected].
Author Contributions: Conception and design: L. Prince, J.A. Rodden, D.M. Studdert, G.J. Wintemute, Y. Zhang.
Analysis and interpretation of the data: E.E. Holsinger, A.F. Holsinger, M. Miller, L. Prince, J.A. Rodden, D.M. Studdert, G.J. Wintemute, Y. Zhang.
Drafting of the article: D.M. Studdert.
Critical revision for important intellectual content: E.E. Holsinger, M. Miller, L. Prince, J.A. Rodden, D.M. Studdert, G.J. Wintemute, Y. Zhang.
Final approval of the article: E.E. Holsinger, A.F. Holsinger, M. Miller, L. Prince, J.A. Rodden, D.M. Studdert, G.J. Wintemute, Y. Zhang.
Provision of study materials or patients: D.M. Studdert.
Statistical expertise: Y. Zhang.
Obtaining of funding: D.M. Studdert.
Administrative, technical, or logistic support: A.F. Holsinger, D.M. Studdert.
Collection and assembly of data: E.E. Holsinger, A.F. Holsinger, L. Prince, J.A. Rodden, D.M. Studdert, Y. Zhang.
This article was published at Annals.org on 5 April 2022.

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David M. Studdert, Yifan Zhang, Erin E. Holsinger, et al. Homicide Deaths Among Adult Cohabitants of Handgun Owners in California, 2004 to 2016: A Cohort Study. Ann Intern Med.2022;175:804-811. [Epub 5 April 2022]. doi:10.7326/M21-3762

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