APPENDIX 2 Segmented regression analysis of interrupted ... · APPENDIX 2 Segmented regression...

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APPENDIX 2 Segmented regression analysis of interrupted time series

data

Figure 3: Segmented regression analysis of interrupted time series data; redrawn from MacDougall

(2005)

REFERENCE: MacDougall, C. and R. E. Polk (2005). "Antimicrobial Stewardship Programs in Health Care Systems."

Clinical Microbiology Reviews 18(4): 638-656.

APPENDIX 3 Observed versus predicted counts (lagged vacation

period shown by black rectangle)

APPENDIX 4: Graph of Pearson residuals versus predicted values from

the models

APPENDIX 5: Results of sensitivity analysis (no lag)

The GENMOD Procedure

State=ACT

Friday, September 27, 2019 11:33:50 AM 1

Model Information

Data Set WORK.WEEK19

Distribution Negative Binomial

Link Function Log

Dependent Variable Count Count

Number of Observations Read 17

Number of Observations Used 17

Criteria For Assessing Goodness Of Fit

Criterion DF Value Value/DF

Deviance 11 18.6532 1.6957

Scaled Deviance 11 18.6532 1.6957

Pearson Chi-Square 11 18.6078 1.6916

Scaled Pearson X2 11 18.6078 1.6916

Log Likelihood 12958.6076

Full Log Likelihood -82.5194

AIC (smaller is better) 179.0389

AICC (smaller is better) 191.4833

BIC (smaller is better) 184.8714

Algorithm converged.

Analysis Of Maximum Likelihood Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence

Limits

Wald

Chi-Square Pr > ChiSq

Intercept 1 4.0531 0.1278 3.8026 4.3035 1006.15 <.0001

wk 1 0.2025 0.0261 0.1513 0.2537 60.08 <.0001

Vacation 1 -0.3423 0.2226 -0.7786 0.0940 2.36 0.1241

postvac 1 -0.9092 0.2287 -1.3574 -0.4611 15.81 <.0001

vacwk 1 -0.3377 0.2493 -0.8264 0.1509 1.84 0.1755

postwk 1 -0.2126 0.0516 -0.3138 -0.1115 16.97 <.0001

Dispersion 1 0.0265 0.0123 0.0107 0.0657

The GENMOD Procedure

State=ACT

Friday, September 27, 2019 11:33:50 AM 2

Note: The negative binomial dispersion parameter was estimated by maximum likelihood.

The GENMOD Procedure

State=NSW

Friday, September 27, 2019 11:33:50 AM 3

Model Information

Data Set WORK.WEEK19

Distribution Negative Binomial

Link Function Log

Dependent Variable Count Count

Number of Observations Read 17

Number of Observations Used 17

Criteria For Assessing Goodness Of Fit

Criterion DF Value Value/DF

Deviance 11 17.2499 1.5682

Scaled Deviance 11 17.2499 1.5682

Pearson Chi-Square 11 17.5667 1.5970

Scaled Pearson X2 11 17.5667 1.5970

Log Likelihood 687324.4417

Full Log Likelihood -123.4419

AIC (smaller is better) 260.8838

AICC (smaller is better) 273.3282

BIC (smaller is better) 266.7163

Algorithm converged.

Analysis Of Maximum Likelihood Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence

Limits

Wald

Chi-Square Pr > ChiSq

Intercept 1 7.1594 0.0477 7.0658 7.2529 22483.8 <.0001

wk 1 0.2513 0.0100 0.2317 0.2708 633.27 <.0001

Vacation 1 -0.3949 0.0911 -0.5735 -0.2163 18.78 <.0001

postvac 1 -1.1929 0.0903 -1.3698 -1.0160 174.71 <.0001

vacwk 1 -0.4404 0.1035 -0.6432 -0.2376 18.12 <.0001

postwk 1 -0.2610 0.0200 -0.3003 -0.2218 169.75 <.0001

Dispersion 1 0.0052 0.0019 0.0025 0.0106

The GENMOD Procedure

State=NSW

Friday, September 27, 2019 11:33:50 AM 4

Note: The negative binomial dispersion parameter was estimated by maximum likelihood.

The GENMOD Procedure

State=QLD

Friday, September 27, 2019 11:33:50 AM 5

Model Information

Data Set WORK.WEEK19

Distribution Negative Binomial

Link Function Log

Dependent Variable Count Count

Number of Observations Read 17

Number of Observations Used 17

Criteria For Assessing Goodness Of Fit

Criterion DF Value Value/DF

Deviance 11 16.8421 1.5311

Scaled Deviance 11 16.8421 1.5311

Pearson Chi-Square 11 16.0505 1.4591

Scaled Pearson X2 11 16.0505 1.4591

Log Likelihood 312799.6948

Full Log Likelihood -117.5330

AIC (smaller is better) 249.0659

AICC (smaller is better) 261.5104

BIC (smaller is better) 254.8984

Algorithm converged.

Analysis Of Maximum Likelihood Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence

Limits

Wald

Chi-Square Pr > ChiSq

Intercept 1 6.3271 0.0752 6.1797 6.4745 7079.13 <.0001

wk 1 0.2307 0.0178 0.1958 0.2655 168.36 <.0001

Vacation 1 -0.2432 0.1418 -0.5211 0.0348 2.94 0.0864

postvac 1 -0.4808 0.1442 -0.7635 -0.1981 11.11 0.0009

vacwk 1 -0.3933 0.1582 -0.7034 -0.0833 6.18 0.0129

postwk 1 -0.1853 0.0284 -0.2409 -0.1296 42.59 <.0001

Dispersion 1 0.0120 0.0042 0.0060 0.0240

The GENMOD Procedure

State=QLD

Friday, September 27, 2019 11:33:50 AM 6

Note: The negative binomial dispersion parameter was estimated by maximum likelihood.

The GENMOD Procedure

State=SA

Friday, September 27, 2019 11:33:50 AM 7

Model Information

Data Set WORK.WEEK19

Distribution Negative Binomial

Link Function Log

Dependent Variable Count Count

Number of Observations Read 17

Number of Observations Used 17

Criteria For Assessing Goodness Of Fit

Criterion DF Value Value/DF

Deviance 11 16.7721 1.5247

Scaled Deviance 11 16.7721 1.5247

Pearson Chi-Square 11 17.1145 1.5559

Scaled Pearson X2 11 17.1145 1.5559

Log Likelihood 64654.2133

Full Log Likelihood -99.0507

AIC (smaller is better) 212.1014

AICC (smaller is better) 224.5458

BIC (smaller is better) 217.9339

Algorithm converged.

Analysis Of Maximum Likelihood Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence

Limits

Wald

Chi-Square Pr > ChiSq

Intercept 1 7.5506 0.0921 7.3701 7.7311 6722.28 <.0001

wk 1 -0.2042 0.0195 -0.2424 -0.1660 109.98 <.0001

Vacation 1 0.3417 0.1931 -0.0368 0.7202 3.13 0.0768

postvac 1 0.2312 0.1875 -0.1362 0.5986 1.52 0.2174

vacwk 1 0.0497 0.2247 -0.3907 0.4901 0.05 0.8251

postwk 1 0.2627 0.0426 0.1792 0.3463 37.96 <.0001

Dispersion 1 0.0225 0.0083 0.0109 0.0464

The GENMOD Procedure

State=SA

Friday, September 27, 2019 11:33:50 AM 8

Note: The negative binomial dispersion parameter was estimated by maximum likelihood.

The GENMOD Procedure

State=VIC

Friday, September 27, 2019 11:33:50 AM 9

Model Information

Data Set WORK.WEEK19

Distribution Negative Binomial

Link Function Log

Dependent Variable Count Count

Number of Observations Read 17

Number of Observations Used 17

Criteria For Assessing Goodness Of Fit

Criterion DF Value Value/DF

Deviance 11 17.1907 1.5628

Scaled Deviance 11 17.1907 1.5628

Pearson Chi-Square 11 16.7645 1.5240

Scaled Pearson X2 11 16.7645 1.5240

Log Likelihood 301681.8712

Full Log Likelihood -116.6948

AIC (smaller is better) 247.3896

AICC (smaller is better) 259.8340

BIC (smaller is better) 253.2221

Algorithm converged.

Analysis Of Maximum Likelihood Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence

Limits

Wald

Chi-Square Pr > ChiSq

Intercept 1 7.2885 0.0618 7.1674 7.4095 13925.1 <.0001

wk 1 0.1199 0.0148 0.0908 0.1490 65.38 <.0001

Vacation 1 0.0094 0.1177 -0.2212 0.2400 0.01 0.9364

postvac 1 -0.6088 0.1189 -0.8418 -0.3758 26.22 <.0001

vacwk 1 -0.1639 0.1303 -0.4194 0.0915 1.58 0.2085

postwk 1 -0.1321 0.0227 -0.1765 -0.0876 33.95 <.0001

Dispersion 1 0.0081 0.0030 0.0040 0.0166

The GENMOD Procedure

State=VIC

Friday, September 27, 2019 11:33:50 AM 10

Note: The negative binomial dispersion parameter was estimated by maximum likelihood.

The GENMOD Procedure

State=WA

Friday, September 27, 2019 11:33:50 AM 11

Model Information

Data Set WORK.WEEK19

Distribution Negative Binomial

Link Function Log

Dependent Variable Count Count

Number of Observations Read 17

Number of Observations Used 17

Criteria For Assessing Goodness Of Fit

Criterion DF Value Value/DF

Deviance 11 16.9313 1.5392

Scaled Deviance 11 16.9313 1.5392

Pearson Chi-Square 11 17.0235 1.5476

Scaled Pearson X2 11 17.0235 1.5476

Log Likelihood 16331.9710

Full Log Likelihood -89.0651

AIC (smaller is better) 192.1302

AICC (smaller is better) 204.5746

BIC (smaller is better) 197.9627

Algorithm converged.

Analysis Of Maximum Likelihood Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence

Limits

Wald

Chi-Square Pr > ChiSq

Intercept 1 5.1100 0.2033 4.7115 5.5085 631.72 <.0001

wk 1 0.1450 0.0442 0.0584 0.2316 10.78 0.0010

Vacation 1 -0.9990 0.3819 -1.7475 -0.2505 6.84 0.0089

postvac 1 -2.2228 0.3927 -2.9924 -1.4531 32.04 <.0001

vacwk 1 -0.4136 0.4234 -1.2434 0.4162 0.95 0.3286

postwk 1 -0.3356 0.0874 -0.5068 -0.1644 14.76 0.0001

Dispersion 1 0.0835 0.0307 0.0406 0.1718

The GENMOD Procedure

State=WA

Friday, September 27, 2019 11:33:50 AM 12

Note: The negative binomial dispersion parameter was estimated by maximum likelihood.

State=ACT

Friday, September 27, 2019 11:33:50 AM 13

Plot of predicted*week. Symbol used is 'e'. Plot of Count*week. Symbol used is 'o'. | | 300 + | e | | | | | 250 + e | o | e o o | o | e | o e e e P | o e e e r 200 + e | e d | i | c | o o t | e | e d 150 + | V | o a | e l | o u | o e | e 100 + | | e | | e | | e o 50 + | | o | | | | 0 + | ---+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+-- 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 week NOTE: 4 obs hidden.

State=NSW

Friday, September 27, 2019 11:33:50 AM 14

Plot of predicted*week. Symbol used is 'e'. Plot of Count*week. Symbol used is 'o'. 10000 + | | e | | 9000 + | | o | e | 8000 + | | | e | P 7000 + o r | e e | d | o i | e e o c 6000 + e e e t | e e e | o o d | | o V 5000 + a | l | e u | e | 4000 + o | | e | | 3000 + | e | | | e 2000 + | | e | | e 1000 + ---+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+-- 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 week NOTE: 9 obs hidden.

State=QLD

Friday, September 27, 2019 11:33:50 AM 15

Plot of predicted*week. Symbol used is 'e'. Plot of Count*week. Symbol used is 'o'. 5000 + | | | | e 4500 + o o | o e | o | e | 4000 + e | o | e | o | e P 3500 + e r | e | d | i | c 3000 + t | e | e e d | | o o V 2500 + a | e l | u | e e | o o 2000 + | | e | | 1500 + | e | | | e 1000 + o | e | o | e | e 500 + o ---+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+-- 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 week NOTE: 4 obs hidden.

State=SA

Friday, September 27, 2019 11:33:50 AM 16

Plot of predicted*week. Symbol used is 'e'. Plot of Count*week. Symbol used is 'o'. 2000 + | | e | o | 1800 + | | | | 1600 + o o | e | | | P 1400 + r | e | d | e i | c 1200 + t | e | d | | e V 1000 + a | o l | u | e | e 800 + | o | | e | 600 + | e | o | o | o e e 400 + | e e o | e e e | o e e | e o o 200 + ---+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+-- 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 week NOTE: 5 obs hidden.

State=VIC

Friday, September 27, 2019 11:33:50 AM 17

Plot of predicted*week. Symbol used is 'e'. Plot of Count*week. Symbol used is 'o'. | | 4000 + | | e | | e | | 3500 + | | e | o | | P | r 3000 + e e | o d | i | o c | t | o e o e e e | e e d 2500 + o e e | e V | e o a | o l | o u | e | o e 2000 + | | e | | o | e | 1500 + | e | | | o | | 1000 + | ---+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+-- 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 week NOTE: 5 obs hidden.

State=WA

Friday, September 27, 2019 11:33:50 AM 18

Plot of predicted*week. Symbol used is 'e'. Plot of Count*week. Symbol used is 'o'. | | 600 + | | | | | e | 500 + | o | | e | | P | o r 400 + e e | d | o i | c | o e t | o e | d 300 + o e | V | a | e l | u | e e | e 200 + | e | e e | | | o | 100 + o | o e | e | o e o | e e | e | 0 + | ---+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+------+-- 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 week NOTE: 6 obs hidden.

Friday, September 27, 2019 11:33:50 AM 19

Plot of pearson*predicted. Legend: A = 1 obs, B = 2 obs, etc. | | 2.5 + | | A A | A 2.0 + A A | A | A | A 1.5 + A A | A A | A A | B A P 1.0 + A A A e | A a | A A A A A r | B AA s 0.5 + A o | A n | A A A A B | A A R 0.0 + BCAA A A A A A A A e | A AA A A A s | A A A i | A A A A A A d -0.5 + A A A u | AA A A A A a | A A A l | A A -1.0 + A A | A A A | AA AA A | -1.5 + A A A | A A | A | A -2.0 + A | A | | -2.5 + | --+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-- 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 Predicted Value