Anemia
- Comorbidity correction (COMO)
- Average Hemoglobin decrement ("shift") caused by each etiology
- Bayesian contingency table modeling of etiology and severity-specific prevalence
- Calculate 95%-ile of all country-years by age and sex = "Normal" hemoglobin
- Calculate counterfactual hemoglobin shift removing all causes except IDA
- Calculate difference between predicted and normal hemoglobin for each country-year-age-sex = TOTAL hemoglobin shift
- Cause-specific hemoglobin shift
- Divide TOTAL anemia proportionally to each cause based on the proportion of total shift attributable to that cause
- Use WHO thresholds, mean hemoglobin, and distributions to estimate prevalence (area-under-curve)
- Split data into two groups
- MoM of distribution fits for all single distributions
- Calculate Prediction Errors of mild, moderate, severe anemia, weighting by Disability Weights
- Method of Moments
- ST-GPR
Anorexia nervosa
- Comorbidity correction (COMO)
- Computing excess mortality from available prevalence & CSMR data
- Age-sex splitting
- Dismod-MR 2.1
Anxiety disorders
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Mapping EQ5D to SF12
- Mapping SF-12 to GBD disability weight
- Regression to estimate disability weights by cause in survey respondents controlling for comorbidity
Appendicitis
- Adjustment from primary code to all code based on Claims data
- Comorbidity correction (COMO)
- Computing excess mortality from available incidence & CSMR data
- DisMod-MR 2.1
Ascariasis
- Prepare data for ST-GPR
- ST-GPR
- Compute age-specific ratios; apply ratio to ST-GPR output
- Apply health state proportions to overall ascariasis envelope
- Compute proportion of cases that belong to health states
- Estimate prevalence of asymptomatic ascarasis
- Dismod-MR 2.1
- YLD Calculation
Asthma
- Comorbidity correction (COMO)
- Computing excess mortality
- DisMod-MR 2.1
- Age sex splitting
- Meta-analysis of WHS microdata to estimate wheezing and diagnosis covariate coefficients
- Claims data 2000, other claims data
- Severity splits
Atopic dermatitis
- Comorbidity correction (COMO)
- Convert claims to prevalent cases, Apply age and sex restrictions, Aggregate and apply population denominator
- DisMod MR 2.1
- Format codes, Map to modeling causes
- Severity splits
Atrial fibrillation & flutter
- 2. DisMod-MR 2.1
- Adjustment from primary code to all code based on claims data
- Age-sex splitting
- Dismod-MR 2.1
- 1. CODEm
- 4. DisMod-MR 2.1
- 3. Excess Mortality Rate Calculation
Attention-deficit\hyperactivity disorder
- Comorbidity correction (COMO)
- Age-sex splitting
- Calculation of proportion of time spent symptomatic vs asymptomatic
- Dismod-MR 2.1
- Severity splits
Autism spectrum disorders
- Comorbidity correction (COMO)
- Age-sex splitting
- Adjustment of autism estimates to ASD estimates
- Meta-analysis of proportion of ASD with no, borderline,mild, moderate, and profound intellectual disability
- Dismod-MR 2.1
- Severity splits
Benign Prostatic Hypertrophy
- Centrally applied splits
- Age-sex splitting
- Crosswalk to US claims data 2012
- Comorbidity correction (COMO)
- Dismod-MR 2.1
Bipolar disorder
- Age-sex splitting
- Meta-analysis of % depressive, manic, residual bipolar disorder
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Severity splits
Bulimia nervosa
- Comorbidity correction (COMO)
- Computing excess mortality from available prevalence & CSMR data
- Age-sex splitting
- Dismod-MR 2.1
Cannabis dependence
- Age-sex splitting
- Conversion of 'any' cannabis use data points into regular cannabis use data points
- Comorbidity correction (COMO)
- DisMod-MR 2.1
- Mapping of EQ5D to SF-12
- Mapping to SF-12 GBD disability weight
- Regression to estimate disability weights by cause in survey respondents controlling for comorbidity
Cataract
- Comorbidity correction (COMO)
- Crosswalk data points that span multiple vision loss categories
- Split into moderate and severe vision loss
- Squeeze into severity-specific vision loss envelope
- DisMod-MR 2.1
