204 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS16 papers
- National Cancer InstituteUS6 papers
- University of WaterlooCA5 papers
- University of WashingtonUS4 papers
- East China Normal UniversityCN3 papers
- Universidad Nacional Autónoma de MéxicoMX3 papers
- University College LondonGB3 papers
- University of California San DiegoUS3 papers
- University of ZurichCH3 papers
- Allen Institute for Cell ScienceUS2 papers
- BioLegend (United States)US2 papers
- Broad InstituteUS2 papers
11 papers · 1 filter
Retrospective score tests versus prospective score tests for genetic association with case-control data
Yukun Liu, Pengfei Li, Lei Song +2
Since the seminal work by Prentice and Pyke (1979), the prospective logistic likelihood has become the standard method of analysis for retrospectively collected case-control data,…
Instability of inverse probability weighting methods and a remedy for non-ignorable missing data
Pengfei Li, Jing Qin, Yukun Liu
Inverse probability weighting (IPW) methods are commonly used to analyze non-ignorable missing data under the assumption of a logistic model for the missingness probability. Howeve…
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
Mengke Li, Yukun Liu, Pengfei Li +1
Meta analysis is commonly-used to synthesize multiple results from individual studies. However, its validation is usually threatened by publication bias and between-study heterogen…
A mixture distribution approach for assessing genetic impact from twin study
Zonghui Hu, Pengfei Li, Dean Follmann +1
This work was motivated by a twin study with the goal of assessing the genetic control of immune traits. We propose a mixture bivariate distribution to model twin data where the un…
Conformal predictive intervals in survival analysis: a re-sampling approach
Jing Qin, Jin Piao, Jing Ning +1
The distribution-free method of conformal prediction (Vovk et al, 2005) has gained considerable attention in computer science, machine learning, and statistics. Candes et al. (2023…
Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
Lauren Eyler Dang, Jens Magelund Tarp, Trine Julie Abrahamsen +4
Augmenting a randomized controlled trial (RCT) with external data may increase power at the risk of introducing bias. To select and analyze the experiment (RCT alone or combined wi…
Mediation Analyses for the Effect of Antibodies in Vaccination
Michael P. Fay, Dean A. Follmann
We review standard mediation assumptions as they apply to identifying antibody effects in a randomized vaccine trial and propose new study designs to allow identification of an est…
Confidence Intervals for Prevalence Estimates from Complex Surveys with Imperfect Assays
Damon Bayer, Michael Fay, Barry Graubard
We present several related methods for creating confidence intervals to assess disease prevalence in variety of survey sampling settings. These include simple random samples with i…
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
Jonathan Fintzi, Jon Wakefield, Vladimir N. Minin
Stochastic epidemic models (SEMs) fit to incidence data are critical to elucidating outbreak dynamics, shaping response strategies, and preparing for future epidemics. SEMs typical…
Practical Valid Inferences for the Two-Sample Binomial Problem
Michael P. Fay, Sally A. Hunsberger
Our interest is whether two binomial parameters differ, which parameter is larger, and by how much. This apparently simple problem was addressed by Fisher in the 1930's, and has be…
Valid and Approximately Valid Confidence Intervals for Current Status Data
Sungwook Kim, Michael P. Fay, Michael A. Proschan
We introduce a new framework for creating point-wise confidence intervals for the distribution of event times for current status data. Existing methods are based on asymptotics. Ou…