Results 141 to 150 of about 109,995 (172)

Intentional wedge resection versus segmentectomy for ≤2 cm ground-glass-opacity-dominant non-small cell lung cancer: a real-world study using inverse probability of treatment weighting. [PDF]

Int J Surg
Liu C, Yang Z, Li Y, Guo C, Xia L, Zhang W, Xiao C, Mei J, Liao H, Zhu Y, Lin F, Ma L, Pu Q, Liu L.   +13 more
europepmc   +1 more source

Comparison of cisplatin-based versus standard preoperative chemotherapy in patients with operable triple-negative breast cancer: propensity score matching and inverse probability of treatment weighting analysis. [PDF]

Breast Cancer Res Treat
Yamaguchi A, Kawaguchi K, Kawanishi K, Maeshima Y, Nakakura A, Kataoka TR, Takahara S, Nakagawa S, Yonezawa A, Takada M, Kawashima M, Kawaguchi-Sakita N, Kotake T, Suzuki E, Shimizu H, Torii M, Morita S, Ishiguro H, Toi M.   +18 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Covariate adjustment of cumulative incidence functions for competing risks data using inverse probability of treatment weighting

Computer Methods and Programs in Biomedicine, 2016
In observational studies without random assignment of the treatment, the unadjusted comparison between treatment groups may be misleading due to confounding. One method to adjust for measured confounders is inverse probability of treatment weighting. This method can also be used in the analysis of time to event data with competing risks.
Anke Neumann
exaly   +3 more sources

Adjusted win ratio using the inverse probability of treatment weighting

Journal of Biopharmaceutical Statistics, 2023
The win ratio method has been increasingly applied in the design and analysis of clinical trials. However, the win ratio method is a univariate approach that does not allow for adjusting for baseline imbalances in covariates, although a stratified win ratio can be calculated when the number of strata is small.
Duolao Wang, Sirui Zheng, Ying Cui, Nengjie He, Tao Chen, Bo Huang   +5 more
openaire   +2 more sources

Consistent inverse probability of treatment weighted estimation of the average treatment effect with mismeasured time‐dependent confounders

Statistics in Medicine, 2022
In longitudinal studies, the inverse probability of treatment weighted (IPTW) method is commonly employed to estimate the effect of time‐dependent treatments on an outcome of interest. However, it has been documented that when the confounders are subject to measurement error, the naive IPTW method which simply ignores measurement error leads to biased ...
Ying Yan, Mingchen Ren
openaire   +3 more sources

Lenvatinib versus sorafenib in first‐line treatment of unresectable hepatocellular carcinoma: An inverse probability of treatment weighting analysis

Liver International, 2021
AbstractPurposeData from common clinical practice were used to generate balanced cohorts of patients receiving either sorafenib or lenvatinib, for unresectable hepatocellular carcinoma, with the final aim to investigate their declared equivalence.MethodsClinical features of lenvatinib and sorafenib patients were balanced through inverse probability of ...
Casadei-Gardini A., Scartozzi M., Tada T., Yoo C., Shimose S., Masi G., Lonardi S., Frassineti L. G., Nicola S., Piscaglia F., Kumada T., Kim H. -D., Koga H., Vivaldi C., Solda C., Hiraoka A., Bang Y., Atsukawa M., Torimura T., Tsuj K., Itobayashi E., Toyoda H., Fukunishi S., Rimassa L., Rimini M., Cascinu S., Cucchetti A., Nakamura S., Michitaka K., Itokawa N., Hayama K., Hirooka M., Koizumi Y., Hiasa Y., Ishikawa T., Imai M., Takaguchi K., Tsutsui A., Nagano T., Kariyama K., Nouso K., Tajiri K., Shimada N., Shibata H., Ochi H., Joko K., Yasuda S., Ohama H., Kawata K.   +48 more
openaire   +4 more sources

Neighbourhood walkability and the incidence of diabetes: an inverse probability of treatment weighting analysis

Journal of Epidemiology and Community Health, 2019
Background People living in highly walkable neighbourhoods tend to be more physically active and less likely to be obese. Whether walkable urban design reduces the future risk of diabetes is less clear. Methods We used inverse probability of ...
Gillian L Booth, Maria I Creatore, Jin Luo, Ghazal S Fazli, Ashley Johns, Laura C Rosella, Richard H Glazier, Rahim Moineddin, Peter Gozdyra, Peter C Austin   +9 more
openaire   +2 more sources

A Primer on Inverse Probability of Treatment Weighting and Marginal Structural Models

Emerging Adulthood, 2015
Emerging adulthood researchers are often interested in the effects of developmental tasks. The majority of transitions that occur during the period of early/emerging adulthood are not randomized; therefore, their effects on developmental trajectories are subject to potential bias due to confounding.
Felix Thoemmes, Anthony D. Ong
openaire   +1 more source

A flexible parametric approach for estimating continuous‐time inverse probability of treatment and censoring weights

Statistics in Medicine, 2016
Marginal structural Cox models are used for quantifying marginal treatment effects on outcome event hazard function. Such models are estimated using inverse probability of treatment and censoring (IPTC) weighting, which properly accounts for the impact of time‐dependent confounders, avoiding conditioning on factors on the causal pathway.
Olli Saarela, Zhihui (Amy) Liu
openaire   +3 more sources

Replicating Studying Adaptive Learning Efficacy using Propensity Score Matching and Inverse Probability of Treatment Weighting

Journal of Interactive Learning Research, 2021
Despite the importance of replication, it remains rare in the interactive learning research community. In this paper, we attempt to replicate recent quasi-experimental results suggesting that the ALEKS intelligent tutoring system is effective at improving student course outcomes in higher education (Mojarad et al., 2018).
Shirin Mojarad, Ryan S. Baker, Alfred Essa, Steve Stalzer   +3 more
openaire   +1 more source