1. Cohen's d or Hedges' g (crude)
cohen_d = Cohen's d value.
hedges_g = Hedges' g value.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
2. Odds Ratio
or = Odds Ratio value.
logor = log Odds Ratio value.
logor_se = standard error of the log odds ratio.
logor_pval = p-value of the (log) odds ratio.
or_ci_lo = lower bound of the 95% CI around the odds ratio
value.
or_ci_up = upper bound of the 95% CI around the odds ratio
value.
logor_ci_lo = lower bound of the 95% CI around the log odds
ratio value.
logor_ci_up = upper bound of the 95% CI around the log odds
ratio value.
baseline_risk = proportion of cases/events in the non-exposed
group.
small_margin_prop = smallest margin proportion of
cases/events in the underlying 2x2 table.
n_cases = number of cases/events across exposed/non-exposed
groups.
n_controls = number of controls/no-event across
exposed/non-exposed groups.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
3. Risk Ratio
rr = risk ratio value.
logrr = log risk ratio value.
logrr_se = standard error of the log risk ratio.
logrr_pval = p-value of the (log) risk ratio.
rr_ci_lo = lower bound of the 95% CI around the risk ratio
value.
rr_ci_up = upper bound of the 95% CI around the risk ratio
value.
logrr_ci_lo = lower bound of the 95% CI around the log risk
ratio value.
logrr_ci_up = upper bound of the 95% CI around the log risk
ratio value.
baseline_risk = proportion of cases/events in the non-exposed
group.
n_cases = number of cases/events across exposed/non-exposed
groups.
n_controls = number of controls/no-event across
exposed/non-exposed groups.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
4. Pearson's r or Fisher's z
pearson_r = Pearson's correlation coefficient value.
fisher_z = Fisher's r-to-z transformed correlation
coefficient.
sd_iv = standard deviation of the independent variable.
unit_increase_iv = value of the independent variable that
will be used to estimate the Cohen's d
unit_type = the type of unit for the unit_increase_iv column.
Must be either "sd" or "value".
n_sample = total number of participants.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
5. Incidence Ratio Ratio
n_cases_exp = number of cases in the exposed group.
n_cases_nexp = number of cases in the non-exposed group.
time_exp = person-time of disease-free observation in the
exposed group.
time_nexp = person-time of disease-free observation in the
non-exposed group.
6. Variability indices
mean_exp = mean of participants in the experimental/exposed
group.
mean_nexp = mean of participants in the
non-experimental/non-exposed group.
mean_sd_exp = standard deviation of participants in the
experimental/exposed group.
mean_sd_nexp = standard deviation of participants in the
non-experimental/non-exposed group.
mean_se_exp = standard error of participants in the
experimental/exposed group.
mean_se_nexp = standard error of participants in the
non-experimental/non-exposed group.
mean_ci_lo_exp = lower bound of the 95% CI of the mean of the
experimental/exposed group
mean_ci_up_exp = upper bound of the 95% CI of the mean of the
experimental/exposed group.
mean_ci_lo_nexp = lower bound of the 95% CI of the mean of
the non-experimental/non-exposed.
mean_ci_up_nexp = upper bound of the 95% CI of the mean of
the non-experimental/non-exposed.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
7. Contingency (2x2) table or proportions
n_cases_exp = number of cases/events in the exposed group.
n_cases_nexp = number of cases/events in the non exposed
group.
n_controls_exp = number of controls/no-event in the exposed
group.
n_controls_nexp = number of controls/no-event in the non
exposed group.
prop_cases_exp = proportion of cases/events in the exposed
group (ranging from 0 to 1).
prop_cases_nexp = proportion of cases/events in the
non-exposed group (ranging from 0 to 1).
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
8. Phi or chi-square
phi = phi coefficient value.
chisq = chi-square value.
chisq_pval = chi-square p-value.
n_sample = total number of participants in the sample.
n_cases = total number of cases/events.
n_exp = number of participants in the exposed group.
9. Means and dispersion
mean_exp = mean of participants in the experimental/exposed
group.
mean_nexp = mean of participants in the
non-experimental/non-exposed group.
mean_sd_exp = standard deviation of participants in the
experimental/exposed group.
mean_sd_nexp = standard deviation of participants in the
non-experimental/non-exposed group.
mean_se_exp = standard error of participants in the
experimental/exposed group.
mean_se_nexp = standard error of participants in the
non-experimental/non-exposed group.
mean_ci_lo_exp = lower bound of the 95% CI of the mean of the
experimental/exposed group
mean_ci_up_exp = upper bound of the 95% CI of the mean of the
experimental/exposed group.
mean_ci_lo_nexp = lower bound of the 95% CI of the mean of
the non-experimental/non-exposed.
mean_ci_up_nexp = upper bound of the 95% CI of the mean of
the non-experimental/non-exposed.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
10. Mean difference and dispersion
md = mean difference between two independent groups.
md_sd = standard deviation of the mean difference.
md_pval = p-value of the mean difference.
md_ci_lo = lower bound of the 95% CI of the mean difference.
md_ci_up = upper bound of the 95% CI of the mean difference.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
11. ANOVA statistics, Student's t-test, or point-bis correlation
anova_f = F-test value from an ANOVA with a binary
independent variable.
anova_f_pval = p-value from an ANOVA with a binary
independent variable.
student_t = Student's t-test value.
student_t_pval = p-value from value from a Student's t-test
value.
pt_bis_r = correlation coefficient value from a
point-biserial correlation.
pt_bis_r_pval = p-value of a point-biserial correlation.
etasq = Eta-squared value from an ANOVA with a binary
independent variable.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
12. Median, range and/or interquartile range
min_exp = minimum value of the experimental/exposed group.
q1_exp = first quartile of the experimental/exposed group.
med_exp = median value of the experimental/exposed group.
q3_exp = third quartile of the experimental/exposed group.
max_exp = maximum value of the experimental/exposed group.
min_nexp = minimum value of the non-experimental/non-exposed
group.
q1_nexp = first quartile of the non-experimental/non-exposed
group.
med_nexp = median value of the non-experimental/non-exposed
group.
q3_nexp = third quartile of the non-experimental/non-exposed
group.
max_nexp = maximum value of the non-experimental/non-exposed
group.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
13. (Un-)Standardized regression coefficient
beta_std = standardized regression coefficient value (the
predictor of interest must be binary).
beta_unstd = unstandardized regression coefficient value (the
predictor of interest must be binary).
dv_sd = standard deviation of the dependent variable.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
14. Paired: Mean change and dispersion
15. Paired: pre-post means and dispersion
mean_change_exp & mean_change_nexp = mean change of
participants in the exposed and non-exposed groups, respectively.
mean_change_sd_exp & mean_change_sd_nexp = standard
deviations of the mean change for participants in the exposed and
non-exposed groups, respectively.
mean_change_se_exp & mean_change_se_nexp = standard errors
of the mean change for participants in the exposed and non-exposed
groups, respectively.
mean_change_ci_lo_exp & mean_change_ci_up_exp = bounds of
the 95% CI around the mean change for participants in the exposed
group.
mean_change_ci_lo_nexp & mean_change_ci_up_nexp = bounds of
the 95% CI around the mean change for participants in the
non-exposed group.
r_pre_post_exp & r_pre_post_nexp = correlation between
pre-post scores in the exposed and non-exposed groups,
respectively.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
mean_pre_exp & mean_pre_nexp = mean at baseline in the
exposed and non-exposed groups, respectively.
mean_exp & mean_nexp = mean at follow-up in the exposed and
non-exposed groups, respectively.
mean_pre_sd_exp & mean_pre_sd_nexp = standard deviation of
the mean at baseline in the exposed and non-exposed groups,
respectively.
mean_sd_exp & mean_sd_nexp = standard deviation of the mean
at follow up in the exposed and non-exposed groups, respectively.
mean_pre_se_exp & mean_pre_se_nexp = standard error of the
mean at baseline in the exposed and non-exposed groups,
respectively.
mean_se_exp & mean_se_nexp = standard error of the mean at
follow up in the exposed and non-exposed groups, respectively.
mean_pre_ci_lo_exp & mean_pre_ci_up_exp = lower and upper
bounds of the 95% CI of the mean of the non-experimental/non-exposed
group at baseline in the exposed and non-exposed groups,
respectively.
mean_pre_ci_lo_exp & mean_pre_ci_up_exp = lower and upper
bounds of the 95% CI of the mean of the non-experimental/non-exposed
group at baseline in the exposed and non-exposed groups,
respectively.
mean_ci_lo_exp & mean_ci_up_exp = lower and upper bounds of
the 95% CI of the mean of the non-experimental/non-exposed group at
follow up in the exposed and non-exposed groups, respectively.
mean_ci_lo_nexp & mean_ci_up_nexp = lower and upper bounds of
the 95% CI of the mean of the non-experimental/non-exposed group at
follow up in the exposed and non-exposed groups, respectively.
r_pre_post_exp & r_pre_post_nexp = correlation between
pre-post scores in the exposed and non-exposed groups, respectively.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
16. Paired: Paired F- or t-test
paired_f_exp & paired_f_nexp = Paired ANOVA F value in the
exposed and non-exposed groups, respectively..
paired_f_pval_exp & paired_f_pval_nexp = P-value of the
paired ANOVA F in the exposed and non-exposed groups, respectively.
paired_t_exp & paired_t_nexp = in the exposed and non-exposed
groups, respectively.
paired_t_pval_exp & paired_t_pval_nexp = Paired t-test value
in the exposed and non-exposed groups, respectively.
r_pre_post_exp & r_pre_post_nexp = correlation between
pre-post scores in the exposed and non-exposed groups, respectively.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
17. Cohen's d (adjusted)
cohen_d_adj = Adjusted Cohen's d value.
n_cov_ancova = number of covariates in the ANCOVA model.
cov_outcome_r correlation between the outcome and covariate
(multiple correlation when multiple covariates are included in the
ANCOVA model).
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
18. ANCOVA statistics, eta-squared
ancova_f = F-test value from an ANCOVA with a binary
independent variable.
ancova_f_pval = p-value from an ANCOVA with a binary
independent variable.
ancova_t = t-test value from an ANCOVA with a binary
independent variable.
ancova_t_pval = p-value from an ANCOVA with a binary
independent variable.
cohen_d_adj = adjusted Cohen's d value.
etasq_adj = adjusted eta-squared value.
cov_outcome_r = Covariate-outcome correlation (multiple R if
several covariates are included).
n_cov_ancova = number of covariates in the ANCOVA model.
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
19. Means and dispersion (adjusted)
ancova_mean_exp = adjusted mean of participants in the
experimental/exposed group.
ancova_mean_nexp = adjusted mean of participants in the
non-experimental/non-exposed group.
ancova_mean_sd_exp = adjusted standard deviation of
participants in the experimental/exposed group.
ancova_mean_sd_nexp = adjusted standard deviation of
participants in the non-experimental/non-exposed group.
ancova_mean_se_exp = adjusted standard error of participants
in the experimental/exposed group.
ancova_mean_se_nexp = adjusted standard error of participants
in the non-experimental/non-exposed group.
ancova_mean_ci_lo_exp = lower bound of the 95% CI of the
adjusted mean of the experimental/exposed group
ancova_mean_ci_up_exp = upper bound of the 95% CI of the
adjusted mean of the experimental/exposed group.
ancova_mean_ci_lo_nexp = lower bound of the 95% CI of the
adjusted mean of the non-experimental/non-exposed.
ancova_mean_ci_up_nexp = upper bound of the 95% CI of the
adjusted mean of the non-experimental/non-exposed.
ancova_mean_sd_pooled = adjusted pooled standard deviation.
mean_sd_pooled_crude = crude pooled standard deviation.
n_cov_ancova = number of covariates in the ANCOVA model.
cov_outcome_r = correlation between the outcome and covariate
(multiple correlation when multiple covariates are included in the
ANCOVA model).
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
20. Mean difference and dispersion (adjusted)
ancova_md = adjusted mean difference between two independent
groups.
ancova_md_sd = standard deviation of the adjusted mean
difference.
ancova_md_pval = p-value of the adjusted mean difference.
ancova_md_ci_lo = lower bound of the 95% CI of the adjusted
mean difference.
ancova_md_ci_up = upper bound of the 95% CI of the adjusted
mean difference.
n_cov_ancova = number of covariates in the ANCOVA model.
cov_outcome_r = correlation between the outcome and covariate
(multiple correlation when multiple covariates are included in the
ANCOVA model).
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
21. From a plot: Raw means and measure of dispersion
plot_mean_exp = mean of participants in the
experimental/exposed group (extracted from a plot).
plot_mean_nexp = mean of participants in the
non-experimental/non-exposed group (extracted from a plot).
plot_mean_sd_lo_exp = lower bound of an error bar depicting
-1 SD from the mean of the experimental/exposed group (extracted
from a plot).
plot_mean_sd_lo_nexp = lower bound of an error bar depicting
-1 SD from the mean of the non-experimental/non-exposed group
(extracted from a plot).
plot_mean_sd_up_exp = upper bound of an error bar depicting
+1 SD from the mean of the experimental/exposed group (extracted
from a plot).
plot_mean_sd_up_nexp = upper bound of an error bar depicting
+1 SD from the mean of the non-experimental/non-exposed group
(extracted from a plot).
plot_mean_se_lo_exp = lower bound of an error bar depicting
-1 SE from the mean of the experimental/exposed group (extracted
from a plot).
plot_mean_se_lo_nexp = lower bound of an error bar depicting
-1 SE from the mean of the non-experimental/non-exposed group
(extracted from a plot).
plot_mean_se_up_exp = upper bound of an error bar depicting
+1 SE from the mean of the experimental/exposed group (extracted
from a plot).
plot_mean_se_up_nexp = upper bound of an error bar depicting
+1 SE from the mean of the non-experimental/non-exposed group
(extracted from a plot).
plot_mean_ci_lo_exp = lower bound of an error bar depicting
the 95% CI of the mean of the experimental/exposed group (extracted
from a plot).
plot_mean_ci_lo_nexp = lower bound of an error bar depicting
the 95% CI of the mean of the non-experimental/non-exposed group
(extracted from a plot).
plot_mean_ci_up_exp = upper bound of an error bar depicting
the 95% CI of the mean of the experimental/exposed group (extracted
from a plot).
plot_mean_ci_up_nexp = upper bound of an error bar depicting
the 95% CI of the mean of the non-experimental/non-exposed group
(extracted from a plot).
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
22. From plot: adjusted means and dispersion (adjusted)
plot_ancova_mean_exp = adjusted mean of participants in the
experimental/exposed group (extracted from a plot).
plot_ancova_mean_nexp = adjusted mean of participants in the
non-experimental/non-exposed group (extracted from a plot).
plot_ancova_mean_sd_lo_exp = lower bound of an error bar
depicting -1 SD from the adjusted mean of the experimental/exposed
group (extracted from a plot).
plot_ancova_mean_sd_lo_nexp = lower bound of an error bar
depicting -1 SD from the adjusted mean of the
non-experimental/non-exposed group (extracted from a plot).
plot_ancova_mean_sd_up_exp = upper bound of an error bar
depicting +1 SD from the adjusted mean of the experimental/exposed
group (extracted from a plot).
plot_ancova_mean_sd_up_nexp = upper bound of an error bar
depicting +1 SD from the adjusted mean of the
non-experimental/non-exposed group (extracted from a plot).
plot_ancova_mean_se_lo_exp = lower bound of an error bar
depicting -1 SE from the adjusted mean of the experimental/exposed
group (extracted from a plot).
plot_ancova_mean_se_lo_nexp = lower bound of an error bar
depicting -1 SE from the adjusted mean of the
non-experimental/non-exposed group (extracted from a plot).
plot_ancova_mean_se_up_exp = upper bound of an error bar
depicting +1 SE from the adjusted mean of the experimental/exposed
group (extracted from a plot).
plot_ancova_mean_se_up_nexp = upper bound of an error bar
depicting +1 SE from the adjusted mean of the
non-experimental/non-exposed group (extracted from a plot).
plot_ancova_mean_ci_lo_exp = lower bound of an error bar
depicting the 95% CI of the adjusted mean of the
experimental/exposed group (extracted from a plot).
plot_ancova_mean_ci_lo_nexp = lower bound of an error bar
depicting the 95% CI of the adjusted mean of the
non-experimental/non-exposed group (extracted from a plot).
plot_ancova_mean_ci_up_exp = upper bound of an error bar
depicting the 95% CI of the adjusted mean of the
experimental/exposed group (extracted from a plot).
plot_ancova_mean_ci_up_nexp = upper bound of an error bar
depicting the 95% CI of the adjusted mean of the
non-experimental/non-exposed group (extracted from a plot).
n_exp & n_nexp = number of participants in the exposed and
non-exposed groups, respectively.
23. User's input (crude)
measure = the target effect size measure (should be one of
the 11 effect size measures available in metaConvert).
user_es_measure_crude = name of the original effect size
measure.
user_es_crude = effect size value.
user_se_crude = effect size standard error.
user_ci_lo_crude & user_ci_up_crude = lower and upper bounds
of the 95% CI around the effect size value.
24. User's input (adjusted)
measure = the target effect size measure (should be one of
the 11 effect size measures available in metaConvert).
user_es_measure_adjusted = name of the original effect size
measure.
user_es_adjusted = effect size value (should be adjusted).
user_se_adjusted = effect size standard error.
user_ci_lo_adjusted & user_ci_up_adjusted = lower and upper
bounds of the 95% CI around the adjusted effect size value.