Results 71 to 80 of about 1,662,299 (305)
Adaptive Experimental Design Using the Propensity Score [PDF]
Many social experiments are run in multiple waves, or are replications of earlier social experiments. In principle, the sampling design can be modified in later stages or replications to allow for more efficient estimation of causal effects.
Keisuke Hirano +2 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
, 2020 Comparison of patient characteristics for unmatched cohort, propensity score matched cohort and inverse probability weighting adjusted cohort.
Ricardo Papaléo Rosim (8520120) +3 more
core +1 more source
A comparison of two methods of estimating propensity scores after multiple imputation
, 2011 In many observational studies, analysts estimate treatment effects using propensity scores, e.g., by matching or sub classifying on the scores. When some values of the covariates are missing, analysts can use multiple imputation to fill in the missing ...
Reiter, Jerome P. +4 more
core +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
, 2019 Kaplan-Meier curves of cumulative probability of urticaria in propensity score matching study groups.
Hsing-Ju Wu (264730) +6 more
core +1 more source
HRs for combined-DOACs vs. warfarin by propensity score methods.
, 2022 Note: DOACs = Direct Oral Anticoagulants, PS = Propensity Score, PSM = Propensity Score Matching, IPTW = Inverse Probability of Treatment Weighting (IPTW), Inverse Probability of Censoring Weighting (IPCW).
Peter Langhorne (23534) +5 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
PSAgraphics: An R Package to Support Propensity Score Analysis [PDF]
Propensity score analysis is a technique for adjusting for selection bias in observational data. Estimated propensity scores (probability of treatment given observed covariates) are used for stratification of observations. Within strata covariates should
Robert M. Pruzek, James E. Helmreich
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source