Eric_Chen_final

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Introducti on Result s Conclusions Method s A Spatial Analysis of the Iowa Child Passenger Safety Survey Based on Generalized Linear Mixed Models Presented by Zunqiu Chen Advisor: Dr. Cavanaugh Department of Biostatistics University of Iowa

Transcript of Eric_Chen_final

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Introduction Results ConclusionsMethods

A Spatial Analysis of the Iowa Child Passenger Safety Survey

Based on Generalized Linear Mixed Models

Presented by Zunqiu Chen

Advisor: Dr. CavanaughDepartment of Biostatistics

University of Iowa

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Introduction Results Conclusions Background Restraints Study DesignMethods

Child Passenger Safety

• According to statistics from the National SAFE KIDS Coalition, motor vehicle crashes are the leading cause of death in the United States among children from 1 to 14 years of age. (CDC, 2006)

• During 2006, 32 children under age 11 were killed in Iowa traffic crashes. (Iowa Department of Public Safety, 2007)

• 40-60 young children are seriously injured in Iowa vehicle crashes each year. (Iowa Department of Public Safety, 2007)

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• Child safety seats reduce the risk of death by 71% for infants, and by 54% for toddlers age 1 to 4 years. (National Highway Traffic Safety Administration, 2005)

• For children age 4 to 7 years, booster seats reduce injury risk by 59% compared to seat belts alone. (Durbin et al., 2003)

• The proper use of child safety seats, booster seats, and seat belts is the best protection we have to keep children safe.

Importance of Safety Protection

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• In 2001, the National SAFE KIDS Coalition graded each state’s child restraint laws. Iowa received an "F", ranking 46 out of 51 (50 states and the District of Columbia).

• In July of 2004, the Iowa child passenger restraint law was strengthened.

Iowa History

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Introduction Results Conclusions Background Restraints Study DesignMethods

Proper Child Safety Seat Use Chart(Buckle everyone. Children age 10 and under in back!)

  INFANTS TODDLERSYOUNG

CHILDREN

AGE birth to 1 year age 2-5 years Age 6-10 years

TYPE of SEAT

rear-facing safety seatsafety seat/booster seat

booster seat/ seat belt

SEAT POSITION

rear-facing only forward-facing forward-facing

Using a restraint is not the same as using a restraint properly.

Proper Restraint

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Rear-Facing Safety Seat

From 0-1 year old, child should be put in a rear-facing safety seat.

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Front-Facing Safety Seat

From 2- 5 years old, child should be put in a safety seat or a booster seat.

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Booster Seat / Seat Belt

From 6 – 10 years old, child should be put in a booster seat and/or restrained with a seat belt.

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Introduction Results Conclusions Background Restraints Study DesignMethods

Proper Restraint vs. Restraint

Proper Restraint Use by Age Level Restraint Use by Age Level

0-1 2-5 6-100%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

96.57%

70.73%79.47%

3.43%

29.27%20.53%

Not Properly Restrained Properly Restrained

0-1 2-5 6-100%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

98.89%90.01%

79.47%

1.11%

9.99%20.53%

Not Restrained Restrained

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Introduction Results Conclusions Background Restraints Study DesignMethods

Purpose of Investigation

• Investigate if spatial correlation exists among the pattern of proper restraint use.

• Discover the factors that influence proper restraint use.

• Evaluate compliance with the new regulation by comparing the results of years 2005, 2006, and 2007.– Is there any improvement?

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Study Design

• Conducted by University of Iowa Injury Prevention Research Center. (UI-IPRC)

• Based on collecting samples from 36 Iowan communities (sites).– Site population sizes from 1,000 to 200,000;

classified by four levels.

Population level Category

1,000-2,499 Rural

2,500-9,999 Town

10,000-49,999 Suburban

50,000+ Urban

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Study Area

All observations within each site share same latitude and longitude coordinates.

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Data Structure

Driver Belted No Yes

Urban/Rural Rural Town Suburban Urban

Year 2005 2006 2007

Vehicle Type Small Medium Large

9093 observations in 2005-2007 survey

Variables collected and used in survey analysis

Age Level 1: ≤1 2: 2-5 1: ≤1 2: 2-5 3: 6-10

Restraint TypeNot rear facing

SSBelted

Rear facing

SS

SSBooster

Belted

Proper Restraint Use No Yes

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Introduction Results Conclusions GLMM PROC GLIMMIXSpatial CovarianceMethods

Spatial CorrelationResidual mean based on fitted GLM without consideration of

urban/rural covariate

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Introduction Results Conclusions GLMM PROC GLIMMIXSpatial CovarianceMethods

Generalized Linear Mixed Model

– Distribution: Bernoulli (Binary)• Proper restraint use

– Link: Logit– Fixed effects:

• Control for Driver belted, Age level, Year, Vehicle type

– Random effect:• Site location

GLMM model ( | ) by

Link function: = ( )

E y

g X Z

var( ) 'Z Z

• Modeling for this analysis

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Introduction Results Conclusions GLMM Spatial CovarianceMethods PROC GLIMMIX

Random Effect Covariance

• Spatial random effect will be considered in our model– account for between site correlation

• Covariance assumption– Isotropic exponential spatial covariance structure is

assumed.– First law of cognitive geography: closer sites tend to be more

similar. The covariance between two observations is:

The covariance decreases with the increase of the Euclidean distance between two observations:

2

1

k

ij i j mi mjm

d c c c c

ijd

2ij where exp ij

ij

d

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Introduction Results Conclusions GLMM Spatial CovarianceMethods PROC GLIMMIX

Spatial Variance-Covariance Structure

2 2 2 2 2 2 2 2 212 12 12 13 13 13

2 2 2 2 2 2 2 2 212 12 12 13 13 13

2 2 2 2 2 2 2 2 212 12 12 13 13 13

2 2 2 2 221 21 21

2 2 2 221 21 21

2 2 2 221 21 21

2 2 2 223 23 23

2 2 2 2 223 23 23

2 2 2 2 223 23 23

2 2 2

2 2 2

2 2 2

Site 1

Site 2

Site 3

Site 1 Site 2 Site 3

var( ) 'Z Z

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Introduction Results Conclusions GLMM Spatial CovarianceMethods PROC GLIMMIX

GLMM Structure and GLIMMIX Code

| ~ ,

GLMM: |

y dist R

g y X Z

proc glimmix; class variables; model <resp>=<fixed effects> / dist= link= ; random <random effects> / <options>;run;

Type=sp(exp) (lat long) V=1;

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Random Effect

• Euclidean distance is calculated using latitude and longitude.

• Covariance parameter estimates:

• The effective range is the distance beyond which the correlations fall below 0.05. It is estimated by:

2ˆ 0.09574 ˆ 0.2621

ˆ3 0.7863

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Random EffectThe output suggests spatial correlation exists between sites within a certain distance. For example:

2 20.36; =0.249; exp 0.024ijij ij ij

dd

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Fixed EffectsSignificant odds ratios:

Variables Category Odds Ratios

Driver belted No to yes 0.107

Age level Less than 1 to 6-10 7.78

2-5 to 6-10 0.497

Vehicle size Large to small 3.119

Middle to small 1.503

Year 2005 to 2007 0.464

2006 to 2007 0.675

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Introduction Results ConclusionsMethods

Comparison Among 2005, 2006, and 2007 Surveys

The data shows progress in increasing the proper restraint use for child passengers.

2005 2006 200760%

65%

70%

75%

80%

85%

0.710724827812398

0.782853359814631

0.832558139534884

Properly restrained percentage

Properly restrained

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Introduction Results ConclusionsMethods

Conclusions• Spatial correlation/clustering pattern does exist in the

data.

• Cautious drivers pay more attention to the safety of their child passengers.

• Drivers are more careful with the youngest children.• Drivers ignore or don’t fully understand what is proper

restraint use for children age 2 to 5 years.• Vehicle type is a potential risk factor.

• There is a statistically significant improvement in proper restraint use from 2005 to 2007.

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Introduction Methods Results Conclusions

Acknowledgement

• Dr. Joseph Cavanaugh• John Lundell• Lucas Bohnett• Jing Xu• All others who have helped this project

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Thank you!!

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Introduction Methods Results Conclusions

Proper Use of Restraint Devices (2005-2007)

Y2005-Y2007Restraint

Device

Properly Restraint (No/Yes/Total)

Age levelsTotal

Age 0-1 Age 2-5 Age 6-10

Propriety Propriety Propriety

No Yes Total No Yes Total No Yes Total No Yes Total

Belted 0 0 0 766 0 766 0 2936 2936 766 2936 3702

Booster 6 0 6 0 1220 1220 0 311 311 6 1531 1537

CSS 17 957 974 0 1591 1591 0 23 23 17 2571 2588

No 11 0 11 397 0 397 845 0 845 1253 0 1253

Total /Missing 34 957

991/2

227 28113974/

2845 3270

4115/ 9

2042 70389080/

13

Two major sources of inappropriate restraints• Use of safety belt on children between age 2 and 5 (766/2042 =

37.5%)• Not using safety belt (1253/2042 = 61.36%)

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Introduction Methods Results Conclusions

Driver belted: yes Driver belted: no0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

83.97%

36.67%

16.03%

63.33%

Not properly restained

Properly restrained

Proper Restraint vs. Driver Belted Status

AssociationX2 = 1363.26d. f. = 2p-value < .0001

Year 2005-2007

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0-1 2-5 6-100%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

96.57%

70.73%79.47%

3.43%

29.27%20.53%

Not Properly Restrained

Properly Restrained

Proper Restraint Use by Age Level

Year 2005-2007

AssociationX2 = 320.189d. f. = 2p-value < .0001

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Restraint Use by Age Level

0-1 2-5 6-100%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

98.89%90.01%

79.47%

1.11%9.99%

20.53% Not re-straint

Age_level

AssociationX2 = 339.56d. f. = 2p-value < .0001

Year 2005-2007

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Small Midum Large0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

57.78%71.19%

85.38%

42.22%28.81%

14.62% Not Properly Restrained

Properly Restrained

Proper Restraint Use by Vehicle Type

AssociationX2 = 334.64.07d. f. = 2p-value < .0001

Year 2005-2007

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Introduction Methods Results Conclusions

Rural Town SubUrban Urban0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

72.98% 78.09% 75.73% 80.71%

27.02% 21.91% 24.27% 19.29% Not Properly RestrainedProperly Restrained

Proper Restraint Use by Urban/Rural

AssociationX2 = 45.15d. f. = 3p-value < .0001

Year 2005-2007

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Rural areas Small town core Larger town core Metro_area high commuting

Metro_area core0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

79.62%70.72%

76.32% 78.07% 80.98%

20.38%29.28%

23.68% 21.93% 19.02%

Not Properly Restrained

Properly Restrained

Proper Restraint Use by RUCA

Higher usage in heavier traffic areas except rural areas

AssociationX2 = 73.73d. f. = 4p-value < .0001

Year 2005-2007

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Introduction Methods Results Conclusions

Population Classification by RUCAYear 2005-2007

  RUCA

Col Pct Rural areas Small town core Larger town coreMetro_area

high commuting Metro_area core Total

Rural 749 301 600 0 150 1800

  29.27 15.98 36.43 0 5.71  

Town 452 683 0 0 674 1809

  17.66 36.25 0 0 25.65  

SubUrban 593 900 300 0 300 2093

  23.17 47.77 18.21 0 11.42  

Urban 765 0 747 375 1504 3391

  29.89 0 45.36 100 57.23  

Total 2559 1884 1647 375 2628 9093

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Introduction Methods Results Conclusions

Proper Use of Restraint Devices (2005)

Two major sources of inappropriate restraintsUse of safety belt on children between age 2 and 5 (331/882 = 37.5%)Not using safety belt (549/882 = 62.2%)

Y2005Restraint

Device

Properly Restraint (No/Yes/Total)

Age levelsTotal

Age 0-1 Age 2-5 Age 6-10

Propriety Propriety Propriety

NoYes

Total

No Yes Total No Yes Total No Yes Total

Belted 0 0 0 331 0 331 0 903 903 331 903 1234

Booster 1 0 1 0 274 274 0 52 52 1 326 327

CSS 1329

330 0 602 602 0 7 7 1 938 939

No 3 0 3 225 0 225 321 0 321 549 0 549

Total /Missing

5329

334/1

556 8761432/

1321 962

1283/ 4

882 21673049/

6

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Introduction Methods Results Conclusions

Proper Use of Restraint Devices (2006)Two major sources of inappropriate restraintsUse of safety belt on children between age 1 and 5 (265/656 = 40.4%)Not using safety belt (381/656 = 58.1%)

Y2006Restraint

Device

Properly Restraint (No/Yes/Total)

Age levelsTotal

Age 0-1 Age 2-5 Age 6-10

Propriety Propriety Propriety

No Yes Total No Yes Total No Yes Total No Yes Total

Belted 0 0 0 265 0 265 0 1042 1042 265 1042 1307

Booster 4 0 4 0 564 564 0 106 106 4 670 674

CSS 6 249 255 0 401 401 0 3 3 6 653 659

No 5 0 5 115 0 115 261 0 261 381 0 381

Total /Missing 15 249 264 380 965

1345/1

261 11511412/

4656 2365

3021/5

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Introduction Methods Results Conclusions

Proper Use of Restraint Devices (2007)

Y2007Restraint

Device

Properly Restraint (No/Yes/Total)

Age levelsTotal

Age 0-1 Age 2-5 Age 6-10

Propriety Propriety Propriety

No Yes Total No Yes Total No Yes Total No Yes Total

Belted 0 0 0 170 0 170 0 991 991 170 991 1161

Booster 1 0 1 0 382 382 0 153 153 1 535 536

CSS 10 379 389 0 588 588 0 13 13 10 980 990

No 3 0 3 57 0 57 263 0 263 323 0 323

Total /Missing 14 379

393/1

227 970 1197 263 11571420/

1504 2506

3010/2

Two major sources of inappropriate restraintsUse of safety belt on children between age 1 and 5 (170/504 = 33.7%)Not using safety belt (323/504 = 64.1%)

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Introduction Methods Results Conclusions

Generalized Linear Mixed Model

• General Model considerations– A Model is a description of the components of an

observation

• observation = systematic + random• Alternative: random = design components +

remaining variation• “All models are wrong but some are useful” –

G.E.P Box

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Introduction Results Conclusions GLMM Spatial CovarianceMethods PROC GLIMMIX

Variance-Covariance Structure

2 2 2 2 2 21 12 12 12

2 2 2 2 2 22 12 12 12

2 2 2 2 2 23 12 12 12

2 2 2 2 2 221 21 21 4

2 2 2 2 2 221 21 21 5

2 2 2 2 2 221 21 21 6

( )

( )

( )

( )

( )

( )

v

v

v

v

v

v

Site 1

Site 2

Site 1 Site 2

( ) var( ) ' ; iVar y Z Z R R diag v

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Introduction Methods Results Conclusions

GLMM Estimation

1 12 2

12

GLMM is model of ( | )

Link form: ( | )

Inverse link form: ( | ) = ( )

More general expression of distribution of |

|

( ) is "working correlation matrix"

E

i

E y u

g E y u X Zu

E y u h X Zu

y u

Var y u R R AR

R diag V A

stimation: as with LMM, may choose to focus on

1. only GLS equations in LMM;

Generalized Estimating Equations with GLMM

2. and several approachesu

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Introduction Methods Results Conclusions

Pickup Pickup club cab

Car SUV Van0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

57.78%73.06% 70.90%

83.23% 86.58%

42.22%26.94% 29.10%

16.77% 13.42% Not Properly RestrainedProperly Restrained

Proper Restraint Use by Vehicle Type

Year 2005-2007

AssociationX2 = 342.46d. f. = 4p-value < .0001

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Introduction Methods Results Conclusions

Limitation of the survey data and future considerations

• Multiple children in one vehicle may introduce correlation

• There appears spatial correlation and clustering in directional pattern. More sophisticated spatial analysis method could be involved to investigated the direction clustering pattern -- Kriging.

• we clearly need to increase our efforts to educate parents about what is the proper restraint device, especially for young children age from 2 to 5.

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Introduction Methods Results Conclusions

References

• CDC. Web-based Injury Statistics Query and Reporting System [online]. (). National Center for Injury Prevention and Control, Centers for Disease Control and Prevention (producer). Available from URL: www.cdc.gov/ncipc/wisqars. [2006 Dec 8].

• Department of Transportation (US), National Highway Traffic Safety Administration (NHTSA), Traffic Safety Facts 2005: Children. Washington (DC): NHTSA; 2006. Available from URL: http://www-nrd.nhtsa.dot.gov/pdf/nrd-30/NCSA/TSF2005/810618.pdf.

• Durbin DR, Elliott MR, Winston FK. Belt-positioning booster seats and reduction in risk of injury among children in vehicle crashes. JAMA 2003;289(14):2835–40.

• Iowa Department of Public Safety , Child Restraint Fact Sheet http://www.dps.state.ia.us/commis/gtsb/fact-2childrestraint.pdf