Observational Study
Copyright ©The Author(s) 2016.
World J Gastroenterol. Jul 28, 2016; 22(28): 6527-6538
Published online Jul 28, 2016. doi: 10.3748/wjg.v22.i28.6527
Table 1 Deviance changes in the sequential construction of age-period and birth cohort models
ModelsBrazil
Female
Male
Resid.DFRes.DevP valueResid.DFRes.DevP value
Age729069.37215752.0
Age-drift71661.6< 0.0000171515.1< 0.00001
Age-cohort67390.5< 0.0000167403.0< 0.00001
Age-period-cohort64372.50.00164370.6< 0.00001
Age-period68642.8< 0.0000168485.9< 0.00001
Age-drift71661.60.00171515.1< 0.00001
Midwest
Models
Age72399.7772899.91
Age-drift7188.88< 0.0000171116.80< 0.00001
Age-cohort6772.140.00267111.940.302
Age-period-cohort6466.180.2006495.830.003
Age-period6883.030.00268100.130.366
Age-drift7188.880.21071116.800.002
North
Models
Age72325.04721310.75
Age-drift71140.37< 0.0000171779.28< 0.00001
Age-cohort67129.650.03067751.44< 0.00001
Age-period-cohort64110.220.00164178.570.003
Age-period68121.640.02268194.68< 0.00001
Age-drift71140.370.00171779.28< 0.00001
Northeast
Models
Age72566.75721038.52
Age-drift71405.46< 0.0000171656.22< 0.00001
Age-cohort67269.65< 0.0000167597.78< 0.00001
Age-period-cohort64142.85< 0.0000164155.70< 0.00001
Age-period68230.83< 0.0000168208.92< 0.00001
Age-drift71405.46< 0.0000171656.22< 0.00001
South
Models
Age721903.85723090.98
Age-drift71219.90< 0.0000171207.96< 0.00001
Age-cohort67152.41< 0.0000167189.070.001
Age-period-cohort64124.92< 0.0000164129.74< 0.00001
Age-period68200.58< 0.0000168143.44< 0.00001
Age-drift71219.900.00171207.96< 0.00001
Southeast
Models
Age726993.87211604.0
Age-drift71447.6< 0.0000171399.5< 0.00001
Age-cohort67278.8< 0.0000167290.5< 0.00001
Age-period-cohort64217.6< 0.0000164209.5< 0.00001
Age-period68389.4< 0.0000168284.7< 0.00001
Age-drift71447.6< 0.0000171399.5< 0.00001
Table 2 Observed and predicted number of deaths by age and world age-standardized rates in Brazil
MalesObserved
Predicted
1995-19992000-20042005-20092010-20142015-20192020-20242025-2029
Males
NorthAge0-3999126156200243277296
40-597008189291119124714781670
≥ 601287159721512792357943325195
Total2086254132364110506960877160
ASW13.613.314.315.015.214.814.2
NortheastAge0-39310332405388377366365
40-591662204126333226374541354155
≥ 604086562470209070114151401816827
Total605879971005812685155371851921347
ASW7.58.79.810.911.411.611.4
MidwestAge0-3994981021021059792
40-596847077537798139411126
≥ 601404170518272039237127843362
Total2182251026822920328938214580
ASW13.512.210.69.38.47.97.8
SoutheastAge0-39801616660563576619524
40-596255640463045748562960527537
≥ 6016611167901464814316152771765021598
Total23667238102161220627214822432029658
ASW18.715.512.09.68.37.98.3
SouthAge0-39250235241188137120108
40-592245235624032361241024442649
≥ 605515605260626392704181999745
Total801086438706894195881076212502
ASW1816.213.611.510.39.79.5
BrazilAge0-391660140315671796210525022736
40-5913382121961294413909151141696219978
≥ 6032344314393414537297419944825556146
Total47386450384865653002592136771878861
ASW16.713.312.211.210.410.010.0
Females
NorthAge0-39110122127159163174180
40-59324375460557659790909
≥ 6067879210401327173922442870
Total1112128916272044256132083959
ASW7.16.46.86.97.07.17.0
NortheastAge0-39274314380460554527524
40-59943111413941773210524902754
≥ 6025513152431857237392930911348
Total3768458060927955100511232614626
ASW444.75.25.65.85.9
MidwestAge0-3982929693878279
40-59277333382442547634717
≥ 606037718751028121715151947
Total962119613531562185022322743
ASW5.85.34.74.34.03.93.9
SoutheastAge0-39576652675674685627562
40-592413277830082983314035694168
≥ 608058965296199950106671204714398
Total11047130821330213606144931624319127
ASW6.86.45.44.64.24.14.2
SouthAge0-39215217258257280238220
40-5998494910521150128315461857
≥ 603005310631433268357841114939
Total4204427244534675514258957016
ASW7.66.25.34.74.44.44.6
BrazilAge0-391313137615111811210722682515
40-5955405458627470758168987911902
≥ 6016991174501898220635232672711632678
Total23844242842676729522335423926347095
ASW6.95.65.24.84.74.74.9