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Joint Analysis of Failure Times and Time-Varying Covariates
Joint Analysis of Failure Times and Time-Varying Covariates

OpenSim Moco: Musculoskeletal optimal control | bioRxiv
OpenSim Moco: Musculoskeletal optimal control | bioRxiv

JMSE | Free Full-Text | A Scheme for Estimating Time-Varying Wind Stress  Drag Coefficient in the Ekman Model with Adjoint Assimilation | HTML
JMSE | Free Full-Text | A Scheme for Estimating Time-Varying Wind Stress Drag Coefficient in the Ekman Model with Adjoint Assimilation | HTML

ICE plots - Error in guess(varying) · Issue #1 · koalaverse/homlr · GitHub
ICE plots - Error in guess(varying) · Issue #1 · koalaverse/homlr · GitHub

Identification of the dynamics of time-varying phase aberrations from time  histories of the point-spread function
Identification of the dynamics of time-varying phase aberrations from time histories of the point-spread function

Design MPC Controller at the Command Line - MATLAB & Simulink
Design MPC Controller at the Command Line - MATLAB & Simulink

Coronavirus outbreak: Live updates on COVID-19 | Modern Healthcare
Coronavirus outbreak: Live updates on COVID-19 | Modern Healthcare

Methods for stratification of person-time and events – a prerequisite for  Poisson regression and SIR estimation | Epidemiologic Perspectives &  Innovations | Full Text
Methods for stratification of person-time and events – a prerequisite for Poisson regression and SIR estimation | Epidemiologic Perspectives & Innovations | Full Text

Sample size considerations for comparing dynamic treatment regimens in a  sequential multiple-assignment randomized trial with a continuous  longitudinal outcome - Nicholas J Seewald, Kelley M Kidwell, Inbal  Nahum-Shani, Tianshuang Wu, James R
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome - Nicholas J Seewald, Kelley M Kidwell, Inbal Nahum-Shani, Tianshuang Wu, James R

5 Treating Time More Flexibly | Applied longitudinal data analysis in brms  and the tidyverse
5 Treating Time More Flexibly | Applied longitudinal data analysis in brms and the tidyverse

Quasi-Steady Effective Angle of Attack and Its Use in Lift-Equivalent  Motion Design
Quasi-Steady Effective Angle of Attack and Its Use in Lift-Equivalent Motion Design

How does an Auto regression Model work? - Quora
How does an Auto regression Model work? - Quora

Identification of the dynamics of time-varying phase aberrations from time  histories of the point-spread function
Identification of the dynamics of time-varying phase aberrations from time histories of the point-spread function

PEPSDI: Scalable and flexible inference framework for stochastic dynamic  single-cell models | bioRxiv
PEPSDI: Scalable and flexible inference framework for stochastic dynamic single-cell models | bioRxiv

Chapter 15 - Simulation | The Effect
Chapter 15 - Simulation | The Effect

Difference-in-Differences
Difference-in-Differences

An approximate Bayesian approach for estimation of the reproduction number  under misreported epidemic data | medRxiv
An approximate Bayesian approach for estimation of the reproduction number under misreported epidemic data | medRxiv

Moco: Predict a Squat-to-stand - OpenSim Documentation - Global Site
Moco: Predict a Squat-to-stand - OpenSim Documentation - Global Site

Difference-in-Differences
Difference-in-Differences

11 NLME Modeling | _main
11 NLME Modeling | _main

The Religious Marriage Paradox: Younger Marriage, Less Divorce | Institute  for Family Studies
The Religious Marriage Paradox: Younger Marriage, Less Divorce | Institute for Family Studies

reshape data in r when reshape cannot guess the names of the time varying  variables - R - YouTube
reshape data in r when reshape cannot guess the names of the time varying variables - R - YouTube