Results 41 to 50 of about 49,636 (297)

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

Baseline characteristics before and after inverse probability of selection weighting (IOPW).

, 2022
Baseline characteristics before and after inverse probability of selection weighting (IOPW).
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

On Inverse Probability Weighting for Nonmonotone Missing at Random Data [PDF]

Journal of the American Statistical Association, 2017
The development of coherent missing data models to account for nonmonotone missing at random (MAR) data by inverse probability weighting (IPW) remains to date largely unresolved. As a consequence, IPW has essentially been restricted for use only in monotone MAR settings.
Sun, BaoLuo, Tchetgen, Eric J. Tchetgen
openaire   +3 more sources

Baseline characteristics of high-risk populations before and after inverse probability weighting.

, 2023
Baseline characteristics of high-risk populations before and after inverse probability weighting.
Meng-yu Liu (17599091), Wen-lei Hu (17599094), Wen-bin Shen (17599088), Fen Huang (368887), Yue-yang Wu (17599085), Sheng Wang (339979), Jian-wei Li (448657), Jian-jun Liu (3050598), Qi-rong Qin (16549848)   +8 more
core   +1 more source

Is inverse probability of censoring weighting a safer choice than per-protocol analysis in clinical trials? [PDF]

Deviation from the treatment strategy under investigation occurs in many clinical trials. We term this intervention deviation. Per-protocol analyses are widely adopted to estimate a hypothetical estimand without the occurrence of intervention deviation ...
Latimer, Nicholas, Malbecq, William, Yorke-Edwards, Victoria, Vandormael, Kristel, Mt-Isa, Shahrul, White, Ian R, Xuan, Jingyi, Gorrod, Helen   +7 more
core   +3 more sources

Inverse probability of treatment weighting-adjusted univariate and multivariate analyses of PFS and OS.

, 2022
Inverse probability of treatment weighting-adjusted univariate and multivariate analyses of PFS and OS.
Shinichiro Shimamatsu (12054899), Fumihiko Hirai (12054902), Tetsuzo Tagawa (6655181), Mototsugu Shimokawa (700167), Shinkichi Takamori (4262335), Motoharu Hamatake (12054905), Isamu Okamoto (335989), Masaki Mori (30875), Kazuki Takada (186312), Yuki Ono (5773559), Tatsuro Okamoto (4262326)   +10 more
core   +1 more source

Utility of inverse probability weighting in molecular pathological epidemiology [PDF]

European Journal of Epidemiology, 2017
As one of causal inference methodologies, the inverse probability weighting (IPW) method has been utilized to address confounding and account for missing data when subjects with missing data cannot be included in a primary analysis. The transdisciplinary field of molecular pathological epidemiology (MPE) integrates molecular pathological and ...
Li, Liu, Daniel, Nevo, Reiko, Nishihara, Yin, Cao, Mingyang, Song, Tyler S, Twombly, Andrew T, Chan, Edward L, Giovannucci, Tyler J, VanderWeele, Molin, Wang, Shuji, Ogino   +10 more
openaire   +2 more sources

Mean difference of cost components estimated using unweighted average and inverse probability weighting method.

, 2023
Mean difference of cost components estimated using unweighted average and inverse probability weighting method.
Siew Chin Ong (9314213), Joo Zheng Low (14043216)   +1 more
core   +1 more source

Effectiveness of fluoroquinolone antimicrobials in addition to tetracyclines for Japanese spotted fever: A retrospective analysis using a national inpatient database

International Journal of Infectious Diseases, 2022
Objectives: This study aim to evaluate the effectiveness of fluoroquinolone (FQ) antimicrobial therapy in combination with tetracyclines (TCs) in patients with Japanese spotted fever (JSF) using a nationwide inpatient database in Japan.Methods: We ...
Satoshi Kutsuna, Hiroyuki Ohbe, Hiroki Matsui, Hideo Yasunaga   +3 more
doaj   +1 more source

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
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