Biostatistics that holds up
under review.
I’m Paulina Del Mundo: physician, MPH from Hopkins (epidemiology and biostatistics), clinical data scientist. I work with medical researchers, small companies, and nonprofits on study design, causal inference, sensitivity analysis, and methods writing rigorous enough to publish.
MD MPH Hopkins 24.6M+ encounters analyzed
Services All services →
Design
Study design
Research-question framing, target trial emulation, study population, sample size and power, protocol writing.
Analysis
Analysis methods
Causal inference (DiD, RDD, IV, synthetic control), propensity scores, survival analysis, longitudinal data, Monte Carlo simulation.
Robustness
Sensitivity & robustness
Pre-specified sensitivity analyses, placebo and falsification tests, bias quantification (E-values, Rosenbaum bounds), unmeasured-confounding sensitivity.
Writing
Methods writing
Methods sections for manuscripts, grants, IRB protocols, and regulatory submissions; reviewer responses on methodology.
Handbook Open the handbook →
Chapter 1
From research question to study design
PICO/PECO framing, target trial emulation, primary-vs-secondary endpoint logic, pre-registration. A seven-step decision framework with worked examples.
Chapter 3
Causal inference toolkit
DiD, RDD, IV, synthetic control, propensity-score methods. When each applies, what each assumes, how to defend it.
Chapter 5
Monte Carlo simulation
When closed-form formulas don’t fit. Sample-size simulation, bias quantification, type-I error rate calibration, transparent reproducible reporting.
Selected work All portfolio →
Population epi
NHANES cardiometabolic risk
Survey-weighted analysis, MI, calibration vs AUC, structural-overlap diagnostics in a head-to-head with the Pooled Cohort Equations.
Real-world data
Medicaid outlier detection
Robust statistics on heavy-tailed data, BH-FDR multiplicity, isolation-forest second opinion, ontology-aware claims-data analysis.
Causal inference
Part D insulin DiD
A clean Inflation Reduction Act natural experiment: TWFE DiD, event-study, parallel-trends defense, placebo and leave-one-out robustness.
Recent writing All writing →