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Table 2 Mean Bias (Bias) and root mean squared error (RMSE) for the point estimate and the coverage probability (%CP) of the interval estimate in estimating the cold- and heat-related relative risk (RR) by six different methods (Argmin1, Argmin2, Empirical1, Empirical2strong, Empirical2moderate, and Empirical2minimal) for each of the 4 scenarios; U-shape (Scenario 1), reverse J-shape (Scenario 2), rotated S-shape (Scenario 3) and sector shape (Scenario 4)

From: Monte Carlo simulation-based estimation for the minimum mortality temperature in temperature-mortality association study

   

Methods

Argmin1

Argmin2

Empirical1

Empirical2strong a

Empirical2moderate b

Empirical2minimal c

Cold-related RR

Scenario 1

(True RR = 1.094)

Bias

-0.0002

0.0001

-0.0009

-0.0008

-0.0003

-0.0006

RMSE

0.0093

0.0090

0.0094

0.0092

0.0090

0.0090

% CP

94.2%

95.6%

94.9%

96.7%

95.2%

95.0%

Scenario 2

(True RR = 1.023)

Bias

-0.001

-0.0004

-0.004

-0.006

-0.0038

-0.0030

RMSE

0.0069

0.0067

0.0073

0.0069

0.0056

0.0061

% CP

95.4%

94.0%

95.7%

96.2%

96.7%

95.4%

Scenario 3

(True RR = 1.070)

Bias

-0.030

-0.005

-0.046

-0.022

-0.280

-0.0221

RMSE

0.0548

0.0287

0.0548

0.0250

0.0325

0.0275

% CP

94.6%

93.5%

86.8%

99.7%

96.0%

98.0%

Scenario 4

(True RR = 1.000)

Bias

-0.008

-0.002

-0.013

-0.005

-0.0059

-0.0061

RMSE

0.0126

0.0036

0.0155

0.0055

0.0061

0.0063

% CP

95.8%

58.4%

70.3%

93.2%

76.5%

75.6%

Heat-related RR

Scenario 1

(True RR = 1.079)

Bias

-0.0005

-0.0005

-0.0006

-0.001

-0.0007

-0.0011

RMSE

0.0062

0.0064

0.0062

0.0062

0.0063

0.0061

% CP

96.0%

95.4%

95.5%

93.5%

93.9%

95.8%

Scenario 2

(True RR = 1.118)

Bias

-0.002

0.0001

-0.004

0.0005

0.0003

-0.0005

RMSE

0.0100

0.0084

0.0114

0.0050

0.0068

0.0075

% CP

95.6%

95.0%

94.3%

99.9%

99.5%

98.8%

Scenario 3

(True RR = 1.015)

Bias

-0.027

-0.003

-0.044

-0.019

-0.0122

-0.121

RMSE

0.0548

0.0144

0.0632

0.0192

0.0145

0.0144

% CP

95.6%

85.8%

89.2%

98.1%

99.0%

98.8%

Scenario 4

(True RR = 1.185)

Bias

-0.010

-0.0016

-0.016

-0.006

-0.0023

-0.0019

RMSE

0.0205

0.0111

0.0232

0.0085

0.0079

0.0073

% CP

96.2%

95.1%

90.0%

99.4%

99.6%

100%

  1. aPrior support: 70th -95th percentiles for scenarios 1 & 3, 40th – 65th percentiles for scenario 2, and 1st -10th percentiles for scenario 4
  2. bPrior support: 50th -99th percentiles for scenarios 1 & 3, 30th -80th percentiles for scenario 2, and 1st -50th percentiles for scenario 4
  3. cPrior support: 1st – 99th percentiles for all scenarios