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Summary estimates of test accuracy measures at different cut-off points<sup>#...
Summary estimates of test accuracy measures at different cut-off points#. -
r37980778c78--1d75f85092595d1fec5fa401d5884239
Background characteristics of women with singleton pregnancies (N = 581,844) and by maternal country of birth groupsa,b. -
r37980778c78--9ddde7d121f5c900722fb11923c42eb0
Texts (examples for the first category), codes, categories, and themes of this study*. -
Roles played by subject in each course after the intervention.
L = leader, C = Coordinator, AP = Active, participatory, Active Non-participatory = ANP, P = Peripheral. -
r37980778c78--1e84b58bb07160d662614568f1dbc28d
Evaluation items for Electronic Home Applicants Design Awards and electronic tool design awards. -
r37980778c78--fad76e825b175db68c49c949ccd63847
Socioeconomic characteristics and healthy lifestyle behaviors of cancer survivors by lifestyle score category and combined (n = 522)a,b. -
Usability assessment of the mobile application<sup>*</sup>.
Usability assessment of the mobile application*. -
r37980778c78--e13ef2dbae31eda36b5032174f83a1a7
Predicted values for chronic disease accumulation over time, HRS 1998–20141,2. -
Demographics of participants in each questionnaire.<sup>*</sup>
Demographics of participants in each questionnaire.* -
Description of between-study heterogeneity<sup>*</sup>.
Description of between-study heterogeneity*. -
r37980778c78--f1e3b9b46ea137a0c1fd684cae4a4242
Inclusion, exclusion and diagnosis selection criteria for each dataset *. -
Predicted % uptake under base case and policy change scenarios<sup>*</sup>.
Predicted % uptake under base case and policy change scenarios*. -
r37980778c78--f96d8dea5bc966db38f8847448ac7fdd
Association (ORh) of IBD and increasing consumption frequency in US subpopulation of >median or ≤median eating pattern (Adjusted for demography and lifestyle), NHIS 2015a,b. -
Total causal effects of perceived stress on type 2 diabetes using a time lag ...
Total causal effects of perceived stress on type 2 diabetes using a time lag approach (assuming physical activity as a time varying mediator).a,b -
DANNP: An efficient artificial neural network pruning tool
The code for the online tool at http://www.cbrc.kaust.edu.sa/dannp/