Results 51 to 60 of about 1,818,334 (300)

Baseline characteristics before and after inverse probability of treatment weighting (IPTW) among the second-line population.

, 2022
Baseline characteristics before and after inverse probability of treatment weighting (IPTW) among the second-line population.
Albee Y. Ling (12870871), Rana Jreich (14266285), Zhaoling Meng (6086597), Karen J. Chandross (5362874), Maria E. Montez-Rath (2967801), Kris Kapphahn (12870868), Manisha Desai (394665)   +6 more
core   +1 more source

Impact of acute cholecystitis comorbidity on prognosis after surgery for gallbladder cancer: a propensity score analysis

World Journal of Surgical Oncology, 2023
Background Cholecystitis can represent a comorbidity during gallbladder cancer surgery; nonetheless, the prognostic impact of acute cholecystitis comorbidity remains unclear.
Yasuhiro Kihara, Hiroshi Yokomizo, Kenta Murotani   +2 more
doaj   +1 more source

Unicompartmental compared with total knee replacement for patients with multimorbidities: a cohort study using propensity score stratification and inverse probability weighting

Health Technology Assessment, 2021
Background: Although routine NHS data potentially include all patients, confounding limits their use for causal inference. Methods to minimise confounding in observational studies of implantable devices are required to enable the evaluation of patients ...
Albert Prats-Uribe, Spyros Kolovos, Klara Berencsi, Andrew Carr, Andrew Judge, Alan Silman, Nigel Arden, Irene Petersen, Ian J Douglas, J Mark Wilkinson, David Murray, Jose M Valderas, David J Beard, Sarah E Lamb, M Sanni Ali, Rafael Pinedo-Villanueva, Victoria Y Strauss, Daniel Prieto-Alhambra   +17 more
doaj   +1 more source

Constructing Inverse Probability Weights for Marginal Structural Models [PDF]

American Journal of Epidemiology, 2008
The method of inverse probability weighting (henceforth, weighting) can be used to adjust for measured confounding and selection bias under the four assumptions of consistency, exchangeability, positivity, and no misspecification of the model used to estimate weights.
Stephen R, Cole, Miguel A, Hernán
openaire   +2 more sources

IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting

, 2023
IPWLOGIT fits marginal logistic regression of a binary dependent variable on a treatment variable, possibly adjusting for control variables by inverse probability weighting (IPW).
Jann, Ben
core  

Inverse Probability Weighted Cox Regression for Doubly Truncated Data [PDF]

Biometrics, 2017
SummaryDoubly truncated data arise when event times are observed only if they fall within subject-specific, possibly random, intervals. While non-parametric methods for survivor function estimation using doubly truncated data have been intensively studied, only a few methods for fitting regression models have been suggested, and only for a limited ...
Micha Mandel, Jacobo de Uña-Álvarez, David K. Simon, Rebecca A. Betensky   +3 more
openaire   +3 more sources

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Standardized differences to identify imbalances between treatment groups before and after imputing and inverse-probability-of-treatment-weighting.

, 2016
Standardized differences to identify imbalances between treatment groups before and after imputing and inverse-probability-of-treatment-weighting.
Anna Suling (759811), Petra Neuser (3324771), Alexander Reuss (3324780), Ulrich Canzler (3324768), Christine Eulenburg (3324777), Linn Woelber (664221), Alexander Luyten (746646), Tanja Fehm (23618), Martin Hellriegel (3324774), Sven Mahner (664222)   +9 more
core   +1 more source

sj-zip-1-smm-10.1177_09622802231199335 - Supplemental material for Variable selection using inverse probability of censoring weighting

, 2023
Supplemental material, sj-zip-1-smm-10.1177_09622802231199335 for Variable selection using inverse probability of censoring weighting by Masahiro Kojima in Statistical Methods in Medical ...
Masahiro Kojima (3719785)
core   +1 more source

Modeling Secondary Phenotypes Conditional on Genotypes in Case–Control Studies

Stats, 2022
Traditional case–control genetic association studies examine relationships between case–control status and one or more covariates. It is becoming increasingly common to study secondary phenotypes and their association with the original covariates.
Naomi C. Brownstein, Jianwen Cai, Shad Smith, Luda Diatchenko, Gary D. Slade, Eric Bair   +5 more
doaj   +1 more source