Statistical methods in women's health & pregnancy trials
The methods these trials rely on most, based on the statistical analyses posted to ClinicalTrials.gov, with the tutorial that explains each one.
ANCOVA
Kaplan-Meier estimation
Time-to-event endpoints
Non-inferiority trial design
Mixed-effects model
Hazard ratio
Multiple imputation / missing data
Cochran-Mantel-Haenszel test
All women's health & pregnancy trials
7 results
- CREDENCEComplete statistical analysis of CREDENCE, the randomized phase 3 trial evaluating canagliflozin versus placebo for renal and cardiovascular outcomes in participants with type 2 diabetes and diabetic nephropathy.
- DAPA-CKDIndependent statistical analysis of the randomized phase 3 DAPA-CKD trial evaluating dapagliflozin versus placebo for renal and cardiovascular outcomes in patients with chronic kidney disease.
- FIDELIO-DKDAn independent statistical analysis of FIDELIO-DKD, the randomized phase 3 trial of finerenone versus placebo in subjects with type 2 diabetes mellitus and diabetic kidney disease. Includes the primary renal composite, cardiovascular…
- FIGARO-DKDIndependent statistical analysis of FIGARO-DKD, a randomized phase 3 trial of finerenone versus placebo in subjects with type 2 diabetes mellitus and the clinical diagnosis of diabetic kidney disease.
- ISCHEMIA-CKDIndependent statistical analysis of ISCHEMIA-CKD, a randomized phase 4 trial comparing invasive and conservative strategies in patients with cardiovascular and kidney disease. Includes trial design, time-to-event endpoints, hazard-ratio interpretation, reported results, safety,…
- SCOREDIndependent statistical analysis of SCORED (NCT03315143), a randomized phase 3 trial of sotagliflozin versus placebo in participants with type 2 diabetes and moderate renal impairment at cardiovascular risk. Includes the primary cardiovascular…
- SONARIndependent statistical analysis of the phase 3 SONAR trial of atrasentan versus placebo in diabetic nephropathy, including the composite renal endpoint, hazard ratios, confidence intervals, p-values, trial design, and statistical methodology.