Input data enabling effect size computation
Build a personalized data extraction sheet using the tables below!
Each time you select an input data type, you will retrieve a precise description of the columns at the bottom of the page.
natural_es is the natural effect size measure from the input information.
converted_es is an effect size measure obtained by a converting formula, which necessarily contains a certain degree of approximation.

See all effect size measures available

binary variable       continuous variable

Personalized data extraction sheet

Type of input data Natural
effect size
measure		 Converted
effect size
measure

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.