Package index
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IPD_data
- Reconstructed Individual Patient Data
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adjust_survival_curve()
- Adjust Hazards Underlying a Survival Curve
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calculate_ae_costs()
- Calculate Adverse Effects (AE) Costs
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calculate_efs_costs()
- Calculate Event Free Survival (EFS) Costs
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calculate_markov_trace()
- Calculate Markov Trace
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calculate_pps_costs()
- Calculate Post Progression Survival (PPS) Costs
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calculate_treatment_costs()
- Calculate Treatment Costs
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convert_hazard_to_probability()
- Convert Hazard Rate to Probability
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convert_hazard_to_survival()
- Convert Instantaneous Hazard Rates to Survival Curve
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convert_survival_to_hazard()
- Convert Survival Curve to Instantaneous Hazard Rates
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df_lifeTable_Jordan
- Jordan Life Table 2019
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estimate_se()
- Estimate Standard Error from Mean and 95% Confidence Interval
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get_lifeTable_mortality_probs()
- Estimate Mortality Probabilities from a Survival Curve
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get_lifeTable_survival_curve()
- Calculate Survival Curve from Mortality Probabilities
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get_sampling_params()
- Estimate Distribution Parameters for rnorm, rgamma, and rbeta
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interpolate_survival_curve()
- Interpolate Survival Curve for a Range of Ages
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l_dsa_parameters
- Deterministic Sensitivity Analysis (DSA) parameters
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l_psa_parameters
- Probabilistic Sensitivity Analysis (PSA) parameters
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l_psm_parameters
- Partitioned Survival Model (PSM) Parameters
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l_sensitivity_parameters
- Sensitivity Analysis parameters
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parametric_models
- Fitted Survival Models
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perform_economic_analysis()
- Perform Economic Analysis
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plot_owsa()
- Draw the One-Way Sensitivity Analysis (OWSA) - Tornado plot
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predict_cumulative_survival()
- Predict Cumulative Survival
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predict_survival_curve()
- Predict Cumulative Survival Curve
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run_owsa()
- Run One-Way Sensitivity Analysis (OWSA)
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run_psa()
- Run Probabilistic Sensitivity Analysis (PSA)
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run_psm()
- Run Partitioned Survival Model (PSM)
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sample_psa_data()
- Generate Probabilistic Sensitivity Analysis (PSA) Data