Number of police killings of unarmed black Americanst p value Wild cluster bootstrap-t p value Any police killings of unarmed black Americans (vs none)t p value Wild cluster bootstrap-t p value Primary outcome Poor mental health days (OLS, rate difference) 0-14 (0-07-0.22) 0-00047 <0.0001 0-35 (0-03-0-67) 0-032 <0.0001 Poor mental health days (Poisson, rate ratio) 1-033 (1-016-1-051) 0.00011 <0.0001 1.087 (1-006-1-174) 0-035 <0.0001 Secondary outcomes Any poor mental health days (Poisson, risk ratio) 1-022 (1-008-1-036) 0.0018 <0.0001 1-055 (1-007-1-106) 0-024 <0.0001 Frequent mental distress* (Poisson, risk ratio) 1.036 (1-007-1-068) 0.016 <0.0001 1-106 (0-986-1-240) 0-085 0-039 Data are regression estimates (95% CI). All outcomes were assessed on the 103 710 black American respondents in the 2013-15 US Behavioral Risk Factor Surveillance System. Separate regressions were done for the two exposures (number of killings and any killings); additionally, each column represents a separate regression. 95% Cls are corrected for clustering at the state level. All models were adjusted for respondent sex, age group, and level of education; and state-survey month, survey year-survey month, and survey day of week fixed effects. OLS-ordinary least squares. *Defined as 14 days or more of poor mental in the past 30 days. †Exposures are measured in the 30 days before the interview date. #Wild cluster bootstrap-t p values account for potential underestimates of SEs when the number of clusters is small. These were estimated on least-squares (ie, linear probability model) versions of the models listed because they cannot be applied to non-linear estimators (eg, Poisson). Table 3: Exposure to police killings of unarmed black Americans and poor mental health days among black Americans: regression estimates
Number of police killings of unarmed black Americanst p value Wild cluster bootstrap-t p value Any police killings of unarmed black Americans (vs none)t p value Wild cluster bootstrap-t p value Primary outcome Poor mental health days (OLS, rate difference) 0-14 (0-07-0.22) 0-00047 <0.0001 0-35 (0-03-0-67) 0-032 <0.0001 Poor mental health days (Poisson, rate ratio) 1-033 (1-016-1-051) 0.00011 <0.0001 1.087 (1-006-1-174) 0-035 <0.0001 Secondary outcomes Any poor mental health days (Poisson, risk ratio) 1-022 (1-008-1-036) 0.0018 <0.0001 1-055 (1-007-1-106) 0-024 <0.0001 Frequent mental distress* (Poisson, risk ratio) 1.036 (1-007-1-068) 0.016 <0.0001 1-106 (0-986-1-240) 0-085 0-039 Data are regression estimates (95% CI). All outcomes were assessed on the 103 710 black American respondents in the 2013-15 US Behavioral Risk Factor Surveillance System. Separate regressions were done for the two exposures (number of killings and any killings); additionally, each column represents a separate regression. 95% Cls are corrected for clustering at the state level. All models were adjusted for respondent sex, age group, and level of education; and state-survey month, survey year-survey month, and survey day of week fixed effects. OLS-ordinary least squares. *Defined as 14 days or more of poor mental in the past 30 days. †Exposures are measured in the 30 days before the interview date. #Wild cluster bootstrap-t p values account for potential underestimates of SEs when the number of clusters is small. These were estimated on least-squares (ie, linear probability model) versions of the models listed because they cannot be applied to non-linear estimators (eg, Poisson). Table 3: Exposure to police killings of unarmed black Americans and poor mental health days among black Americans: regression estimates
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
How can we interpret the confidence interval for the secondary exposure in the regression model of the primary outcome in Table 3?
Transcribed Image Text:Number of police killings of unarmed
black Americanst
p value
Wild cluster bootstrap-t p value
Any police killings of unarmed black
Americans (vs none) t
p value
Wild cluster bootstrap-t p value
Primary outcome
Poor mental health days
(OLS, rate difference)
0.14 (0.07-0.22)
0.00047
<0.0001
0.35 (0-03-0-67)
0.032
<0.0001
Poor mental health days
(Poisson, rate ratio)
1.033 (1.016-1.051)
0.00011
<0.0001
1.087 (1.006-1-174)
0.035
<0.0001
Secondary outcomes
Any poor mental health days
(Poisson, risk ratio)
1.022 (1-008-1.036)
0.0018
<0.0001
1.055 (1.007-1.106)
0.024
<0.0001
Frequent mental distress*
(Poisson, risk ratio)
1.036 (1.007-1.068)
0.016
<0.0001
1.106 (0.986-1-240)
0.085
0.039
Data are regression estimates (95% CI). All outcomes were assessed on the 103 710 black American respondents in the 2013-15 US Behavioral Risk Factor Surveillance
System. Separate regressions were done for the two exposures (number of killings and any killings); additionally, each column represents a separate regression. 95% Cls are
corrected for clustering at the state level. All models were adjusted for respondent sex, age group, and level of education; and state-survey month, survey year-survey
month, and survey day of week fixed effects. OLS-ordinary least squares. *Defined as 14 days or more of poor mental in the past 30 days. † Exposures are measured in the
30 days before the interview date. #Wild cluster bootstrap-t p values account for potential underestimates of SEs when the number of clusters is small. These were
estimated on least-squares (ie, linear probability model) versions of the models listed because they cannot be applied to non-linear estimators (eg, Poisson).
Table 3: Exposure to police killings of unarmed black Americans and poor mental health days among black Americans: regression estimates
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