dat.dep: A Meta-Analysis of Binary and Continuous Outcomes on...
In altmeta: Alternative Meta-Analysis Methods
dat.dep R Documentation
A Meta-Analysis of Binary and Continuous Outcomes on Depression
Description
This dataset serves as an example of meta-analysis of combining standardized mean differences and odds ratios.
Usage
data("dat.dep")
Format
A data frame with 6 studies with the following 15 variables within each study.
authorThe first author of each study.
yearThe publication year of each study.
treatmentThe treatment group.
controlThe control group.
y1The sample mean in the treatment group for the continuous outcome.
sd1The sample standard deviation in the treatment group for the continuous outcome.
n1The sample size in the treatment group for the continuous outcome.
y0The sample mean in the control group for the continuous outcome.
sd0The sample standard deviation in the control group for the continuous outcome.
n0The sample size in the control group for the continuous outcome.
r1The event count in the treatment group for the binary outcome.
m1The sample size in the treatment group for the binary outcome.
r0The event count in the control group for the binary outcome.
m0The sample size in the control group for the binary outcome.
id.binAn indicator of whether the outcome is binary (1) or continuous (0).
Details
This dataset is from Cipriani et al. (2016), comparing the efficacy and tolerability of antidepressants for major depressive disorders in children and adolescents. Our case study focuses on efficacy. The authors originally performed a network meta-analysis; however, here we restrict the comparison to fluoxetine and placebo. The continuous outcomes are measured by the mean overall changes in depressive symptoms from baseline to endpoint. For the binary outcomes, events are defined as whether patients' depression rating scores were reduced by at least a specified cutoff value.
Source
Cipriani A, Zhou X, Del Giovane C, Hetrick SE, Qin B, Whittington C, Coghill D, Zhang Y, Hazell P, Leucht S, Cuijpers P, Pu J, Cohen D, Ravindran AV, Liu Y, Michael KD, Yang L, Liu L, Xie P (2016). "Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis." The Lancet, 388(10047), 881–890. <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/S0140-6736(16)30385-3")}>
altmeta documentation built on Sept. 11, 2024, 9 p.m.
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| dat.dep | R Documentation |
A Meta-Analysis of Binary and Continuous Outcomes on Depression
Description
This dataset serves as an example of meta-analysis of combining standardized mean differences and odds ratios.
Usage
data("dat.dep")Format
A data frame with 6 studies with the following 15 variables within each study.
authorThe first author of each study.
yearThe publication year of each study.
treatmentThe treatment group.
controlThe control group.
y1The sample mean in the treatment group for the continuous outcome.
sd1The sample standard deviation in the treatment group for the continuous outcome.
n1The sample size in the treatment group for the continuous outcome.
y0The sample mean in the control group for the continuous outcome.
sd0The sample standard deviation in the control group for the continuous outcome.
n0The sample size in the control group for the continuous outcome.
r1The event count in the treatment group for the binary outcome.
m1The sample size in the treatment group for the binary outcome.
r0The event count in the control group for the binary outcome.
m0The sample size in the control group for the binary outcome.
id.binAn indicator of whether the outcome is binary (1) or continuous (0).
Details
This dataset is from Cipriani et al. (2016), comparing the efficacy and tolerability of antidepressants for major depressive disorders in children and adolescents. Our case study focuses on efficacy. The authors originally performed a network meta-analysis; however, here we restrict the comparison to fluoxetine and placebo. The continuous outcomes are measured by the mean overall changes in depressive symptoms from baseline to endpoint. For the binary outcomes, events are defined as whether patients' depression rating scores were reduced by at least a specified cutoff value.
Source
Cipriani A, Zhou X, Del Giovane C, Hetrick SE, Qin B, Whittington C, Coghill D, Zhang Y, Hazell P, Leucht S, Cuijpers P, Pu J, Cohen D, Ravindran AV, Liu Y, Michael KD, Yang L, Liu L, Xie P (2016). "Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis." The Lancet, 388(10047), 881–890. <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/S0140-6736(16)30385-3")}>
R Package Documentation
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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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