Package: ParCC 1.4.0

Abhijit Pakhare

ParCC: Parameter Converter and Calculator for Health Technology Assessment

An interactive 'shiny' application for Health Technology Assessment (HTA) parameter estimation. Converts between rates, probabilities, odds, and hazard ratios (HR); extrapolates survival curves (Exponential, Weibull, Log-Logistic); fits probabilistic sensitivity analysis (PSA) distributions (Beta, Gamma, LogNormal, Dirichlet) via the method of moments; calculates incremental cost-effectiveness ratios (ICERs), net monetary benefit (NMB), value-based pricing, and budget impact; adjusts costs for inflation, discounting, and purchasing power parity (PPP) across 30 countries; and adjusts background mortality using life-table methods. Designed for researchers building cost-effectiveness and budget-impact models who need auditable, formula-documented parameter transformations. Methods include Zhang and Yu (1998) <doi:10.1001/jama.280.19.1690> for odds ratio (OR) to relative risk (RR) conversion and Chinn (2000, Statistics in Medicine, 19, 3127-3131) for effect-size transformations.

Authors:Abhijit Pakhare [aut, cre], Soumya Jain [aut], Anvita Malhotra [aut], Shivansh Verma [aut], Biju Somen [aut], Oshima Sachin [aut], Beena Joshi [aut], Ankur Joshi [aut]

ParCC_1.4.0.tar.gz
ParCC_1.4.0.zip(r-4.7)ParCC_1.4.0.zip(r-4.6)ParCC_1.4.0.zip(r-4.5)
ParCC_1.4.0.tgz(r-4.6-any)ParCC_1.4.0.tgz(r-4.5-any)
ParCC_1.4.0.tar.gz(r-4.7-any)ParCC_1.4.0.tar.gz(r-4.6-any)
ParCC_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ParCC/json (API)

# Install 'ParCC' in R:
install.packages('ParCC', repos = c('https://drpakhare.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/drpakhare/parcc/issues

Pkgdown/docs site:https://drpakhare.github.io

On CRAN:

Conda:

5.32 score 4 scripts 409 downloads 1 exports 71 dependencies

Last updated from:f3d70fa9e8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK165
source / vignettesOK244
linux-release-x86_64OK227
macos-release-arm64OK95
macos-oldrel-arm64OK128
windows-develOK136
windows-releaseOK116
windows-oldrelOK113
wasm-releaseOK123

Exports:run_app

Dependencies:askpassbase64encbslibcachemclicommonmarkcpp11crosstalkcurldata.tabledigestdplyrDTevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinyshinythemessourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml

Background Mortality Adjustments
Why Background Mortality Matters | Method 1: SMR Adjustment | The Scenario -- Heart Failure Cohort | The Formula | Worked Example | Method 2: DEALE (Declining Exponential Approximation of Life Expectancy) | The Scenario -- Rare Disease with Known Life Expectancy | Method 3: Gompertz Parameterization | When to Use | Method 4: Linear Interpolation | References
Rendered frombackground-mortality.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Batch Conversion Workflow
When to Use Batch Conversion | Supported Conversion Types | Example: PLATO Trial Parameters | Step 1: Prepare Your CSV | Step 2: Upload and Configure | Step 3: Run and Review | Step 4: Download | Example Output | Tips | References
Rendered frombatch-workflow.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Budget Impact Analysis
Overview | Tutorial: 5-Year BIA for a New Oral Anticoagulant | The Scenario | The Framework | In ParCC | Reading the Output | Interpreting Year 1 | Key Modelling Decisions | Time Horizon | Uptake Trajectory | Discounting | Population Dynamics | ISPOR Good Practice Checklist | References
Rendered frombudget-impact-analysis.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Core Conversions: Rates, Odds, and Time Rescaling
Overview | Tutorial 1: Rate to Probability | The Scenario -- Anticoagulant Safety (RE-LY Trial) | Why Simple Division is Wrong | The Formula | Worked Example | In ParCC | Tutorial 2: Time Rescaling | The Scenario -- UKPDS Risk Engine | Tutorial 3: Odds to Probability | The Scenario -- Logistic Regression Output | The Conversion | References
Rendered fromcore-conversions.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Dirichlet Distribution & Log-Logistic Survival
Overview | Part A: Dirichlet for Transition Matrices | The Problem | The Dirichlet Solution | Sampling via Gamma Decomposition | In ParCC | When to Use Dirichlet vs Independent Betas | Part B: Log-Logistic Survival | The Log-Logistic Distribution | Calibration Method | Choosing the Right Survival Distribution | Extrapolation Warning | References
Rendered fromdirichlet-loglogistic.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Economic Evaluation: ICER, NMB, and Value-Based Pricing
ICER (Incremental Cost-Effectiveness Ratio) | The Formula | The Scenario -- New Diabetes Drug | Interpretation | Net Monetary Benefit (iNMB) | Value-Based Pricing (Headroom Analysis) | The Scenario -- SepsiQuick (Point-of-Care Test for Sepsis) | The Formulas | Worked Example | What If You Price Above the Headroom? | References
Rendered fromeconomic-evaluation.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Getting Started with ParCC
What is ParCC? | Installation | Launching the Application | The Lab Notebook Workflow | Application Overview | Parameter Estimation | Uncertainty Analysis | Financial Adjustments | Decision Outputs | Next Steps | References
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

NNT/NNH Calculator & Log-rank to Hazard Ratio
Overview | Tutorial A: Extracting a Hazard Ratio from a Log-rank Test | The Scenario -- Adjuvant Chemotherapy in Colon Cancer | The Peto Approximation | In ParCC | Alternative: From a p-value | Tutorial B: Computing NNT for a Formulary Decision | The Scenario -- Hospital P&T Committee | The Formula | Other Input Modes | NNT vs NNH | When to Use These Tools | References
Rendered fromnnt-logrank-hr.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

OR <-> RR Conversion & Effect Size Transformations
Overview | Tutorial: Preparing Data for an NMA in Depression | The Scenario | Step 1: Convert OR to RR (Zhang & Yu Method) | Why This Matters | Step 2: Convert SMD to log(OR) (Chinn Method) | Step 3: Convert log(OR) to log(RR) | When to Use These Conversions | The Rare-Disease Approximation | References
Rendered fromor-rr-effect-sizes.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Parameterizing Distributions for PSA
Why PSA Needs the Right Distribution | Tutorial 1: Utilities with Beta Distribution | The Scenario -- EQ-5D Utility in COPD | The Method of Moments | Worked Example | Tutorial 2: Costs with Gamma Distribution | The Scenario -- Surgery Cost (AIIMS Costing Study) | Tutorial 3: Hazard Ratios with LogNormal Distribution | The Scenario -- HR from Network Meta-Analysis | The Method | When SE is Missing: The Rule of 4 | References
Rendered frompsa-distributions.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

ParCC Tutorial Index
ParCC Vignette Library | Getting Started | Core Conversions | Hazard Ratio Conversion (NEW in v1.3.0) | Survival Extrapolation | Background Mortality | Probabilistic Sensitivity Analysis | Economic Evaluation | Batch Processing | Key References
Rendered fromTutorial.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2025-12-05

PPP Currency Conversion & WTP Thresholds
Overview | Tutorial: Is a US Drug Affordable in India? | The Scenario | Why Market Exchange Rates Are Wrong | The PPP Approach | In ParCC | Reading the Output | WTP Threshold Assessment | Implications for Pricing | Override Values | Supported Countries (30) | Important Caveats | References
Rendered fromppp-converter.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

Survival Extrapolation from Published Curves
The Problem | Method 1: Exponential (From Median Survival) | When to Use | The Scenario -- Metastatic Colorectal Cancer | Worked Example | Method 2: Weibull (From Two KM Points) | The Scenario -- NSCLC (CheckMate 017) | The Formula | Interpretation | Generating Markov Trace | References
Rendered fromsurvival-extrapolation.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21

HR-Based Probability Converter
The Problem | The Three-Step Method | Worked Example 1: PLATO Trial (Ticagrelor vs Aspirin) | CV Death Conversion | With 95% Confidence Interval | Worked Example 2: High Event Rate (Oncology) | Worked Example 3: Rescaling to Monthly Cycles | Batch Conversion | Example CSV format: | Multi-HR Comparison | Key Assumptions and Limitations | References
Rendered fromhr-probability-converter.Rmdusingknitr::rmarkdown

Last update: 2026-03-21
Started: 2026-03-21