Table 6.
Sensitivity analysis comparing primary survey-weighted negative binomial regression with trimmed-weighted and unweighted models
| Variable | IRR (95%CI) | % Change | Verdict | Verdict | |||
|---|---|---|---|---|---|---|---|
| M1 | M2 | M3 | M1→M2 | M1→M3 | M1→M2 | M1→M3 | |
| Gender | |||||||
| Male (rf) | |||||||
| Female | 0.64 (0.29, 1.41) | 0.61 (-0.14, 0.14) | 0.59 (-0.14, 1.31) | 4.69 | 7.82 | Stable | Stable |
| Age | |||||||
| 15–24 (rf) | |||||||
| 25–34 | 1.03 (0.69, 1.52) | 0.98 (0.58, 0.58) | 0.9 (0.72, 1.09) | 4.86 | 12.63 | Stable | Unstable |
| 35–44 | 1.51 (0.99, 2.31) | 1.45 (1.01, 1.01) | 1.27 (1.08, 1.45) | 3.98 | 15.9 | Stable | Unstable |
| 45–54 | 1.22 (0.83, 1.8) | 1.18 (0.79, 0.79) | 1.03 (0.83, 1.22) | 3.28 | 15.58 | Stable | Unstable |
| ≥55 | 1.31 (0.78, 2.19) | 1.26 (0.76, 0.76) | 1.11 (0.90, 1.31) | 3.82 | 15.27 | Stable | Unstable |
| Residence | |||||||
| Urban (rf) | |||||||
| Rural | 0.84 (0.71, 1.01) | 0.9 (0.70, 0.70) | 0.75 (0.65, 0.84) | 7.15 | 10.72 | Stable | Unstable |
| Division | |||||||
| Barisal (rf) | |||||||
| Chattogram | 1 (0.47, 2.11) | 1.05 (0.30, 0.30) | 1.19 (0.99, 1.38) | 5.00 | 19 | Stable | Unstable |
| Dhaka | 0.96 (0.46, 2.01) | 0.95 (0.21, 0.21) | 0.99 (0.79, 1.17) | 1.05 | 3.13 | Stable | Stable |
| Khulna | 2.32 (0.93, 5.81) | 2.32 (1.40, 1.40) | 2.07 (1.87, 2.25) | 0.00 | 10.78 | Stable | Unstable |
| Mymensingh | 4.72 (1.86, 11.97) | 4.77 (3.85, 3.85) | 2.91 (2.73, 3.08) | 1.06 | 38.35 | Stable | Unstable |
| Rajshahi | 0.87 (0.4, 1.88) | 0.87 (0.10, 0.10) | 1.13 (0.94, 1.31) | 0.00 | 29.89 | Stable | Unstable |
| Rangpur | 1.1 (0.51, 2.38) | 1.09 (0.34, 0.34) | 1.15 (0.96, 1.34) | 0.91 | 4.55 | Stable | Stable |
| Sylhet | 0.93 (0.45, 1.96) | 0.92 (0.18, 0.18) | 0.98 (0.79, 1.17) | 1.08 | 5.38 | Stable | Stable |
| Educational Level | |||||||
| No Formal School (rf) | |||||||
| Less Than Primary | 0.83 (0.64, 1.09) | 0.85 (0.58, 0.58) | 0.95 (0.82, 1.06) | 2.41 | 14.46 | Stable | Unstable |
| Primary School Completed | 1 (0.74, 1.34) | 0.98 (0.67, 0.67) | 1.09 (0.93, 1.24) | 2.00 | 9.01 | Stable | Stable |
| Less Than Secondary | 0.8 (0.63, 1.02) | 0.8 (0.53, 0.53) | 0.77 (0.63, 0.90) | 0.00 | 3.75 | Stable | Stable |
| School Completed | 1.27 (0.7, 2.32) | 1.21 (0.56, 0.56) | 0.9 (0.69, 1.10) | 4.73 | 29.14 | Stable | Unstable |
| High School Completed | 1.11 (0.78, 1.57) | 0.86 (0.51, 0.51) | 0.7 (0.42, 0.97) | 22.53 | 36.94 | Unstable | Unstable |
| Graduation Completed | 0.94 (0.58, 1.54) | 0.83 (0.39, 0.39) | 0.68 (0.38, 0.98) | 11.71 | 27.66 | Unstable | Unstable |
| Postgraduate Degree | 0.82 (0.47, 1.43) | 0.92 (0.44.1.91) | 0.98 (0.81,1.19) | 12.20 | 19.52 | Unstable | Unstable |
| Occupation | |||||||
| Government Employee | |||||||
| Non-Government Employee | 1.31 (0.83, 2.05) | 0.74 (0.19, 0.19) | 0.62 (0.21, 1.01) | 43.52 | 52.68 | Unstable | Unstable |
| Business (Small) | 1.57 (0.94, 2.63) | 1.31 (0.91, 0.91) | 1.04 (0.67, 1.40) | 16.57 | 33.76 | Unstable | Unstable |
| Business (Large) | 1.53 (0.89, 2.63) | 1.54 (1.12, 1.12) | 1.37 (1.00, 1.72) | 0.66 | 10.46 | Stable | Unstable |
| Farming (Land Owner & Farmer) | 1.63 (0.91, 2.9) | 1.28 (0.74, 0.74) | 0.95 (0.53, 1.36) | 21.48 | 41.72 | Unstable | Unstable |
| Agricultural Worker | 1.9 (1.03, 3.51) | 1.63 (1.11, 1.11) | 1.22 (0.85, 1.59) | 14.22 | 35.79 | Unstable | Unstable |
| Industrial Worker | 1.28 (0.75, 2.21) | 1.87 (1.30, 1.30) | 1.44 (1.04, 1.83) | 46.1 | 12.5 | Unstable | Unstable |
| Daily Laborer | 1.95 (1.14, 3.35) | 1.21 (0.76, 0.76) | 1 (0.54, 1.44) | 37.95 | 48.72 | Unstable | Unstable |
| Other Self-Employed | 1.82 (1.02, 3.24) | 1.91 (1.44, 1.44) | 1.32 (0.94, 1.68) | 4.95 | 27.48 | Stable | Unstable |
| Student | 0.88 (0.4, 1.93) | 1.77 (1.26, 1.26) | 1.5 (1.12, 1.88) | 101.14 | 70.46 | Unstable | Unstable |
| Retired | 1.51 (0.58, 3.97) | 2.91 (1.59, 1.59) | 3.23 (2.72, 3.72) | 92.72 | 113.91 | Unstable | Unstable |
| Unemployed, Able to Work | 2.22 (1.1, 4.5) | 2.24 (1.59, 1.59) | 1.3 (0.83, 1.76) | 0.91 | 41.45 | Stable | Unstable |
| Unemployed, Unable to Work | 0.97 (0.54, 1.77) | 0.94 (0.42, 0.42) | 0.71 (0.21, 1.19) | 3.10 | 26.81 | Stable | Unstable |
| Other (Specify) | 1.28 (0.75, 2.18) | 1.22 (0.76, 0.76) | 0.9 (0.48, 1.31) | 4.69 | 29.69 | Stable | Unstable |
| Wealth Index | |||||||
| Poorest (rf) | |||||||
| Poorer | 0.97 (0.64, 1.46) | 1.02 (0.59, 0.59) | 1.14 (0.98, 1.29) | 5.16 | 17.53 | Stable | Unstable |
| Poor | 0.83 (0.56, 1.22) | 0.82 (0.41, 0.41) | 0.86 (0.70, 1.00) | 1.21 | 3.62 | Stable | Stable |
| Rich | 0.95 (0.64, 1.42) | 0.97 (0.57, 0.57) | 1.18 (1.03, 1.32) | 2.11 | 24.22 | Stable | Unstable |
| Richest | 0.98 (0.66, 1.45) | 0.96 (0.56, 0.56) | 1.06 (0.92, 1.20) | 2.05 | 8.17 | Stable | Stable |
| Constant | 7.27 (2.43, 21.81) | 7.41 (6.37, 6.37) | 10.5 (10.05 10.93) | 1.93 | 44.43 | Stable | Unstable |
M1 Primary survey-weighted negative binomial regression model with complex sampling design, M2 Survey-weighted model with weights trimmed at the 99th percentile, M3 Unweighted negative binomial regression model, IRR Incidence rate ratio, 95% CI 95% confidence interval. Percentage change has been calculated as |IRR_M1 − IRR_Mx| / |IRR_M1| × 100, where IRR_Mx denotes IRR_M2 or IRR_M3. Results have been deemed stable if the percentage change has been < 10% and unstable if it has been ≥ 10%