gravatar

khanna7

Aditya Khanna

Recently Published

Document
Publish Document
Publish Document
Publish Document
Publish Document
Publish Document
Publish Document
Publish Document
Document
Document
Publish Document
Publish Document
Document
Publish Document
Publish Document
Document
Document
Publish Document
Publish Document
Document
Publish Document
Publish Document
Document
Publish Document
Publish Document
Document
Publish Document
Publish Document
Publish Document
Puka transition rates used. Transitions between states allowed.
Publish Document
Data output: output_20231110_152817/
Document
Noah's post-release alcohol data
Publish Document
Incarceration adjusted for smoking, race and sex, but not alcohol use.
Publish Document
Agent log analysis
Analyzing simulations including race and sex-based determination of incarceration. Prob of recidivism = 20x probability of first-time incarceration
Agent log analysis
With race/sex distribution changes made to model, recidivism rate = 10x first-time incarceration rate.
Publish Document
Table 3
Table 2
Document
Publish Document
Instance 1, data for 125 instances run through EMEWS
CADRE network visual
CADRE Model - Slower Smoking Transitions
Agent analysis: CADRE
Model version 05/19/2023
Document
Document
Document
LONGABS
CGSMD
PPVABS
SMKD
NCIGS Gee
Publish Document
Publish Document
Publish Document
Document
Document
Publish Document
Document
Publish Document
Document
Publish Document
Analysis of data generated 01/15/2023
Document
CADRE Agent data analysis - 12/09/2022
Document
Document
Document
Table 3 - CLC Project 5
Population Initialization
Syphilis model with potentially too much testing and treatment
30 years - slow growth rate
NEST preliminary data
Document
Publish Document
Publish Document
Visualize reasonabless of simulated networks
Convert matrix to class network
Document
Select nonrespondents of degree >= 30
FB data imputation: read data, mark unobserved edges as NA
Intervention Results
Document
Document
Document
Main network with differential dissolution rates
Document
Preliminary navigation plots
P2M: Casual network estimation
P2M: Main network estimation
P2M: Population initialization
Model 0
Publish Document
Publish Document
finer-grained retention data with simple fix
Retention-Uptake and PrEP results
Results
Results
Publish Document
BARS Transmission Model (Without PrEP): Chicago
Facebook networks from Wave 2: Respondents Only
Visualize stability of node selection
illustrate the problem at hand
Visualize intersection between different metrics on the imputed networks for respondents only
Visualize intersection between different metrics on the control networks
Visualize intersection between different metrics on the imputed networks
pca-distributions
Heatmaps for imputation with independent models
visualize networks
Network plots for missing ties paper
Publish Document
BARS Transmission Model: Chicago
BARS Transmission Model: Chicago
Heatmaps for imputation with independent models
visualize networks
BARS Transmission Model: Chicago
Investigated network structure in main and casual partnerships
BARS Transmission Model: Simulation with longer average partnership duration
BARS Transmission Model: Preliminary Analysis of Simulated Data