Table 3

Mean Values (and Standard Deviations) of Indicators Considered for Assessing the Performance of Models Used to Estimate Incidence of 2 Types of Cancer With Small Case Counts, RARECARENet Database, 2000–2007a

Cancer Type and Model UsedCI/CrI Coverage, %CI/CrI Width, no. of casesRMSE
Adenocarcinoma with variants of middle ear
 WinBUGS modelsb
  Model 196.04 (16.96)2.54 (2.54)0.43 (0.69)
  Model 296.56 (15.45)2.63 (2.57)0.43 (0.69)
  Model 396.22 (13.22)2.74 (2.61)0.43 (0.69)
  Model 496.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 596.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 696.37 (12.67)3.61 (2.94)0.62 (0.84)
  Model 796.37 (12.67)2.84 (2.65)0.44 (0.70)
 INLA modelsc
  Model 879.56 (40.34)1.78 (2.23)0.46 (0.76)
  Model 995.59 (18.15)2.57 (2.56)0.44 (0.70)
 Empirical Bayes approach51.33 (50.00)1.23 (2.12)0.45 (0.70)
 Generalized linear mixed model76.44 (42.45)1.84 (2.33)0.45 (0.71)
 Poisson approximation
  Exact96.74 (17.76)6.11 (2.87)0.91 (0.99)
  Byar’s98.44 (12.38)5.05 (2.94)0.91 (0.99)
Adenocarcinoma with variants of trachea
 WinBUGS models
  Model 192.44 (26.44)6.28 (5.40)1.39 (1.85)
  Model 292.81 (25.83)6.34 (5.40)1.38 (1.83)
  Model 394.00 (23.76)6.42 (5.39)1.37 (1.82)
  Model 495.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 595.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 696.22 (19.07)7.60 (5.61)1.55 (1.90)
  Model 795.30 (23.20)6.49 (5.42)1.38 (1.83)
 INLA models
  Model 887.04 (33.60)5.92 (5.37)1.44 (1.91)
  Model 992.44 (26.44)6.36 (5.41)1.39 (1.83)
 Empirical Bayes approach84.15 (36.54)5.58 (5.18)1.39 (1.87)
 Generalized linear mixed model85.70 (35.02)6.01 (5.38)1.39 (1.84)
 Poisson approximation
  Exact95.19 (21.42)9.68 (5.48)1.78 (1.94)
  Byar’s97.70 (14.98)8.67 (5.51)1.78 (1.94)
Cancer Type and Model UsedCI/CrI Coverage, %CI/CrI Width, no. of casesRMSE
Adenocarcinoma with variants of middle ear
 WinBUGS modelsb
  Model 196.04 (16.96)2.54 (2.54)0.43 (0.69)
  Model 296.56 (15.45)2.63 (2.57)0.43 (0.69)
  Model 396.22 (13.22)2.74 (2.61)0.43 (0.69)
  Model 496.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 596.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 696.37 (12.67)3.61 (2.94)0.62 (0.84)
  Model 796.37 (12.67)2.84 (2.65)0.44 (0.70)
 INLA modelsc
  Model 879.56 (40.34)1.78 (2.23)0.46 (0.76)
  Model 995.59 (18.15)2.57 (2.56)0.44 (0.70)
 Empirical Bayes approach51.33 (50.00)1.23 (2.12)0.45 (0.70)
 Generalized linear mixed model76.44 (42.45)1.84 (2.33)0.45 (0.71)
 Poisson approximation
  Exact96.74 (17.76)6.11 (2.87)0.91 (0.99)
  Byar’s98.44 (12.38)5.05 (2.94)0.91 (0.99)
Adenocarcinoma with variants of trachea
 WinBUGS models
  Model 192.44 (26.44)6.28 (5.40)1.39 (1.85)
  Model 292.81 (25.83)6.34 (5.40)1.38 (1.83)
  Model 394.00 (23.76)6.42 (5.39)1.37 (1.82)
  Model 495.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 595.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 696.22 (19.07)7.60 (5.61)1.55 (1.90)
  Model 795.30 (23.20)6.49 (5.42)1.38 (1.83)
 INLA models
  Model 887.04 (33.60)5.92 (5.37)1.44 (1.91)
  Model 992.44 (26.44)6.36 (5.41)1.39 (1.83)
 Empirical Bayes approach84.15 (36.54)5.58 (5.18)1.39 (1.87)
 Generalized linear mixed model85.70 (35.02)6.01 (5.38)1.39 (1.84)
 Poisson approximation
  Exact95.19 (21.42)9.68 (5.48)1.78 (1.94)
  Byar’s97.70 (14.98)8.67 (5.51)1.78 (1.94)

Abbreviations: CI, confidence interval; CrI, credible interval; INLA, integrated nested Laplace approximation; RARECARENet, Information Network on Rare Cancers; RMSE, root mean squared error.

a Coverage and width of the 95% CI or CrI and RMSE between the observed and predicted numbers of cases across the 1,000 simulated data sets for 2 cancer sites with small case counts in all areas.

b WinBUGS models: model 1, |$\sigma\!\!\sim\!\! \mathrm{Uniform}(0,500)$|⁠; model 2, |$\sigma\!\!\sim\!\! \mathrm{Uniform}(0.1,500)$|⁠; model 3, |$\sigma\!\!\sim\!\!\mathrm{Uniform}(0.2,500)$|⁠; model 4, σ |$\sim \mathrm{Uniform}(0.3,500)$|⁠; model 5, σ |$\sim \mathrm{Uniform}(0.5,500)$|⁠; model 6, σ |$\sim \mathrm{Uniform}(1,500)$|⁠; model 7, σ |$\sim \mathrm{Uniform}(a,b)$|⁠.

c INLA models: model 8, |$\tau \sim \gamma (0.00001,0.00001)$|⁠; model 9, σ |$\sim \mathrm{Uniform}(0,\infty)$|⁠.

Table 3

Mean Values (and Standard Deviations) of Indicators Considered for Assessing the Performance of Models Used to Estimate Incidence of 2 Types of Cancer With Small Case Counts, RARECARENet Database, 2000–2007a

Cancer Type and Model UsedCI/CrI Coverage, %CI/CrI Width, no. of casesRMSE
Adenocarcinoma with variants of middle ear
 WinBUGS modelsb
  Model 196.04 (16.96)2.54 (2.54)0.43 (0.69)
  Model 296.56 (15.45)2.63 (2.57)0.43 (0.69)
  Model 396.22 (13.22)2.74 (2.61)0.43 (0.69)
  Model 496.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 596.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 696.37 (12.67)3.61 (2.94)0.62 (0.84)
  Model 796.37 (12.67)2.84 (2.65)0.44 (0.70)
 INLA modelsc
  Model 879.56 (40.34)1.78 (2.23)0.46 (0.76)
  Model 995.59 (18.15)2.57 (2.56)0.44 (0.70)
 Empirical Bayes approach51.33 (50.00)1.23 (2.12)0.45 (0.70)
 Generalized linear mixed model76.44 (42.45)1.84 (2.33)0.45 (0.71)
 Poisson approximation
  Exact96.74 (17.76)6.11 (2.87)0.91 (0.99)
  Byar’s98.44 (12.38)5.05 (2.94)0.91 (0.99)
Adenocarcinoma with variants of trachea
 WinBUGS models
  Model 192.44 (26.44)6.28 (5.40)1.39 (1.85)
  Model 292.81 (25.83)6.34 (5.40)1.38 (1.83)
  Model 394.00 (23.76)6.42 (5.39)1.37 (1.82)
  Model 495.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 595.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 696.22 (19.07)7.60 (5.61)1.55 (1.90)
  Model 795.30 (23.20)6.49 (5.42)1.38 (1.83)
 INLA models
  Model 887.04 (33.60)5.92 (5.37)1.44 (1.91)
  Model 992.44 (26.44)6.36 (5.41)1.39 (1.83)
 Empirical Bayes approach84.15 (36.54)5.58 (5.18)1.39 (1.87)
 Generalized linear mixed model85.70 (35.02)6.01 (5.38)1.39 (1.84)
 Poisson approximation
  Exact95.19 (21.42)9.68 (5.48)1.78 (1.94)
  Byar’s97.70 (14.98)8.67 (5.51)1.78 (1.94)
Cancer Type and Model UsedCI/CrI Coverage, %CI/CrI Width, no. of casesRMSE
Adenocarcinoma with variants of middle ear
 WinBUGS modelsb
  Model 196.04 (16.96)2.54 (2.54)0.43 (0.69)
  Model 296.56 (15.45)2.63 (2.57)0.43 (0.69)
  Model 396.22 (13.22)2.74 (2.61)0.43 (0.69)
  Model 496.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 596.59 (11.78)2.86 (2.67)0.44 (0.70)
  Model 696.37 (12.67)3.61 (2.94)0.62 (0.84)
  Model 796.37 (12.67)2.84 (2.65)0.44 (0.70)
 INLA modelsc
  Model 879.56 (40.34)1.78 (2.23)0.46 (0.76)
  Model 995.59 (18.15)2.57 (2.56)0.44 (0.70)
 Empirical Bayes approach51.33 (50.00)1.23 (2.12)0.45 (0.70)
 Generalized linear mixed model76.44 (42.45)1.84 (2.33)0.45 (0.71)
 Poisson approximation
  Exact96.74 (17.76)6.11 (2.87)0.91 (0.99)
  Byar’s98.44 (12.38)5.05 (2.94)0.91 (0.99)
Adenocarcinoma with variants of trachea
 WinBUGS models
  Model 192.44 (26.44)6.28 (5.40)1.39 (1.85)
  Model 292.81 (25.83)6.34 (5.40)1.38 (1.83)
  Model 394.00 (23.76)6.42 (5.39)1.37 (1.82)
  Model 495.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 595.48 (20.78)6.57 (5.43)1.36 (1.82)
  Model 696.22 (19.07)7.60 (5.61)1.55 (1.90)
  Model 795.30 (23.20)6.49 (5.42)1.38 (1.83)
 INLA models
  Model 887.04 (33.60)5.92 (5.37)1.44 (1.91)
  Model 992.44 (26.44)6.36 (5.41)1.39 (1.83)
 Empirical Bayes approach84.15 (36.54)5.58 (5.18)1.39 (1.87)
 Generalized linear mixed model85.70 (35.02)6.01 (5.38)1.39 (1.84)
 Poisson approximation
  Exact95.19 (21.42)9.68 (5.48)1.78 (1.94)
  Byar’s97.70 (14.98)8.67 (5.51)1.78 (1.94)

Abbreviations: CI, confidence interval; CrI, credible interval; INLA, integrated nested Laplace approximation; RARECARENet, Information Network on Rare Cancers; RMSE, root mean squared error.

a Coverage and width of the 95% CI or CrI and RMSE between the observed and predicted numbers of cases across the 1,000 simulated data sets for 2 cancer sites with small case counts in all areas.

b WinBUGS models: model 1, |$\sigma\!\!\sim\!\! \mathrm{Uniform}(0,500)$|⁠; model 2, |$\sigma\!\!\sim\!\! \mathrm{Uniform}(0.1,500)$|⁠; model 3, |$\sigma\!\!\sim\!\!\mathrm{Uniform}(0.2,500)$|⁠; model 4, σ |$\sim \mathrm{Uniform}(0.3,500)$|⁠; model 5, σ |$\sim \mathrm{Uniform}(0.5,500)$|⁠; model 6, σ |$\sim \mathrm{Uniform}(1,500)$|⁠; model 7, σ |$\sim \mathrm{Uniform}(a,b)$|⁠.

c INLA models: model 8, |$\tau \sim \gamma (0.00001,0.00001)$|⁠; model 9, σ |$\sim \mathrm{Uniform}(0,\infty)$|⁠.

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