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Reference 33: C-Pack: Packed resources for general chinese embeddings
J Med Internet Res 2025;27:e71873
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ME (DST-F and DST-B: mean difference 1.23, P=.60; DSS: mean difference 1.030, P=.31; VFT-Letteral: mean difference 4.59, P=.001; VFT-Categoryam: mean difference 2.81, P=.23)
PT only
ATT (SCWT)
GC (ACEan and MMSEao)
ME (ACE and AVLT)
PS (DRT-IIap)
VF (ACE)
ATT (SCWT: η2=0.0001, P=.97)
GC (ACE: Cohen d=0.71, P=.002; MMSE: η2=0.189, P=.001)
ME (ACE: Cohen d=0.64, P=.007; AVLT: η2=0.173, P=.001)
PS (DRT-II: η2=0.033, P=.11)
VF (Cohen d=0.73, P=.001)
HEaq
ATT (TMT-A and TMT-B)
GC (ADAS-Cog and KMMSEar)
PS (DSST)
JMIR Aging 2025;8:e70291
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(C) Ten-year sub-timeseries sample set construction: segmenting the 10-year sub-timeseries (one window) according to year-by-year sliding. In the example shown for 2002-2022, there are 12 sliding windows in total. The first 7 years in each sub-timeseries is the training set, the eighth year is the validation set, and the ninth and tenth year are the testing set. In the database used in this study, we analyzed 72 sub-timeseries datasets (12 samples×6 groups) from the overall population and age subgroups.
J Med Internet Res 2025;27:e67156
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In simple beta regression models with a single strategy or concern as the predictor variable, the use of negative emotional appeals (β=.94, P
In a multiple beta regression model including all the persuasive strategies and health concerns as predictor variables, the overall regression was statistically significant (likelihood ratio χ224=75.8, P
Simple and multiple beta regression of persuasive strategies and health concerns on the selection of a tweet as most concerning.
J Med Internet Res 2025;27:e54657
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Statistical significance was defined as a 2-sided P value of
Patient baseline characteristics were summarized with medians and IQRs for continuous variables and with counts (percentages) for categorical variables. A generalized linear mixed-effects model was used for the estimation of an intervention effect.
JMIR Med Educ 2025;11:e54911
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Missing data were addressed using multiple imputation (MI) with 50 imputations, as missing completely at random (MCAR) tests did not reject the missing at random assumption (P=.85 for all variables; P=.08 for t test variables) [42,43]. The MI method was chosen for its ability to reduce bias under the assumption that data are missing at random and to provide more accurate standard errors and confidence intervals [44].
JMIR Form Res 2025;9:e69611
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Compared to participants, nonparticipants were more likely to only attend DR screening (n=730, 51.9%), not attend “bundle” screening appointments (n=909, 64.6%) and be from the Bedok site (n=498, 28.6%; all P
Response rates of eligible patients to the UNADSa study by polyclinic sites.
a UNADS: Understanding Non-Adherence to Diabetes Complications Screening.
b Calculated as participants as a percentage of eligible patients.
c SHP: Sing Health Polyclinics.
d NHGP: National Healthcare Group Polyclinics.
JMIR Res Protoc 2025;14:e63253
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Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review
J Med Internet Res 2025;27:e63360
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