nma.schwingshackl2014: Training modalities for patients with type 2 diabetes
In rnmamod: Bayesian Network Meta-Analysis with Missing Participants
nma.schwingshackl2014 R Documentation
Training modalities for patients with type 2 diabetes
Description
A dataset of 14 trials comparing three different training
modalities (a triangle network) for patients with type 2 diabetes.
The analysed continuous outcome is change from baseline in HbA1c levels.
Usage
data(nma.schwingshackl2014)
Format
A data frame with 14 rows of arm-based data and 16 columns (maximum
number of 3 arms).
Details
The interventions have been coded as follows: 1, aerobic;
2, resistance; and 3, combined training;
Source
Schwingshackl L, Missbach B, Dias S, et al. M Impact of different training
modalities on glycaemic control and blood lipids in patients with type 2
diabetes: a systematic review and network meta-analysis.
Diabetologia 2014;57(9):1789–97.
doi: 10.1007/s00125-014-3303-z
rnmamod documentation built on May 29, 2024, 2:44 a.m.
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| nma.schwingshackl2014 | R Documentation |
Training modalities for patients with type 2 diabetes
Description
A dataset of 14 trials comparing three different training modalities (a triangle network) for patients with type 2 diabetes. The analysed continuous outcome is change from baseline in HbA1c levels.
Usage
data(nma.schwingshackl2014)
Format
A data frame with 14 rows of arm-based data and 16 columns (maximum number of 3 arms).
Details
The interventions have been coded as follows: 1, aerobic; 2, resistance; and 3, combined training;
Source
Schwingshackl L, Missbach B, Dias S, et al. M Impact of different training modalities on glycaemic control and blood lipids in patients with type 2 diabetes: a systematic review and network meta-analysis. Diabetologia 2014;57(9):1789–97. doi: 10.1007/s00125-014-3303-z
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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